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Cambridge Public Health

 

Research focus on causal inference and methods for Mendelian randomization. Specific involvement in problems of inference with weak instruments.

Publications from Elements

Journal articles

2024 (Published online)

  • Tian, H., Tom, BDM. and Burgess, S., 2024 (Published online). A data-adaptive method for investigating effect heterogeneity with high-dimensional covariates in Mendelian randomization BMC Medical Research Methodology, v. 24
    Doi: http://doi.org/10.1186/s12874-024-02153-1
  • Patel, A., Gill, D., Shungin, D., Mantzoros, CS., Knudsen, LB., Bowden, J. and Burgess, S., 2024 (Published online). Robust use of phenotypic heterogeneity at drug target genes for mechanistic insights: Application of <i>cis</i>‐multivariable Mendelian randomization to <i>GLP1R</i> gene region Genetic Epidemiology,
    Doi: http://doi.org/10.1002/gepi.22551
  • Zagkos, L., Cronjé, HT., Woolf, B., de La Harpe, R., Burgess, S., Mantzoros, CS., Elliott, P., Yuan, S., Larsson, SC., Tzoulaki, I. and Gill, D., 2024 (Published online). Genetic investigation into the broad health implications of caffeine: evidence from phenome-wide, proteome-wide and metabolome-wide Mendelian randomization BMC Medicine, v. 22
    Doi: http://doi.org/10.1186/s12916-024-03298-y
  • 2024 (Accepted for publication)

  • Tian, H., Tom, B. and Burgess, S., 2024 (Accepted for publication). A data-adaptive method for investigating effect heterogeneity with high-dimensional covariates in Mendelian randomization BMC Medical Research Methodology,
  • Patel, A., Gill, D., Shungin, D., Mantzoros, CS., Knudsen, LB., Bowden, J. and Burgess, S., 2024 (Accepted for publication). Robust use of phenotypic heterogeneity at drug target genes for mechanistic insights: application of cis -multivariable Mendelian randomization to GLP1R gene region Genetic Epidemiology,
  • Zagkos, L., Cronje, HT., Woolf, B., de la Harpe, R., Burgess, S., Mantzoros, CS., Elliott, P., Yuan, S., Larsson, SC., Tzoulaki, I. and Gill, D., 2024 (Accepted for publication). Genetic investigation into the broad health implications of caffeine: evidence from phenome-wide, proteome-wide and metabolome-wide Mendelian randomization BMC Medicine,
  • Woolf, B., Perry, JA., Hong, CC., Wilkins, MR., Toshner, M., Gill, D., Burgess, S. and Rhodes, CJ., 2024 (Accepted for publication). Multi-biobank Mendelian randomisation does not support a causal effect of IL-6 signalling on risk of pulmonary arterial hypertension European Respiratory Journal,
  • 2024

  • Schuermans, A., Truong, B., Ardissino, M., Bhukar, R., Slob, EAW., Nakao, T., Dron, JS., Small, AM., Cho, SMJ., Yu, Z., Hornsby, W., Antoine, T., Lannery, K., Postupaka, D., Gray, KJ., Yan, Q., Butterworth, AS., Burgess, S., Wood, MJ., Scott, NS., Harrington, CM., Sarma, AA., Lau, ES., Roh, JD., Januzzi, JL., Natarajan, P. and Honigberg, MC., 2024. Genetic Associations of Circulating Cardiovascular Proteins With Gestational Hypertension and Preeclampsia. JAMA Cardiol,
    Doi: http://doi.org/10.1001/jamacardio.2023.4994
  • Levin, MG. and Burgess, S., 2024. Mendelian Randomization as a Tool for Cardiovascular Research: A Review. JAMA Cardiol, v. 9
    Doi: 10.1001/jamacardio.2023.4115
  • Burgess, S. and Cronjé, HT., 2024. Incorporating biological and clinical insights into variant choice for Mendelian randomisation: examples and principles. eGastroenterology, v. 2
    Doi: 10.1136/egastro-2023-100042
  • Azzo, JD., Dib, M-J., Zagkos, L., Zhao, L., Wang, Z., Chang, C-P., Ebert, C., Salman, O., Gan, S., Zamani, P., Cohen, JB., van Empel, V., Richards, AM., Javaheri, A., Mann, DL., Rietzschel, ER., Schafer, PH., Seiffert, DA., Gill, D., Burgess, S., Ramirez-Valle, F., Gordon, DA., Cappola, TP. and Chirinos, JA., 2024. Proteomic Associations of NT-proBNP (N-Terminal Pro-B-Type Natriuretic Peptide) in Heart Failure With Preserved Ejection Fraction. Circ Heart Fail,
    Doi: http://doi.org/10.1161/CIRCHEARTFAILURE.123.011146
  • Gagnon, E., Daghlas, I., Zagkos, L., Sargurupremraj, M., Georgakis, MK., Anderson, CD., Cronje, HT., Burgess, S., Arsenault, BJ. and Gill, D., 2024. Mendelian Randomization Applied to Neurology: Promises and Challenges. Neurology, v. 102
    Doi: http://doi.org/10.1212/WNL.0000000000209128
  • Rogne, T., Gill, D., Liew, Z., Shi, X., Stensrud, VH., Nilsen, TIL. and Burgess, S., 2024. Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study. JAMA Netw Open, v. 7
    Doi: http://doi.org/10.1001/jamanetworkopen.2023.51166
  • Babajide, O., Kjaergaard, AD., Deng, W., Kuś, A., Sterenborg, RBTM., Åsvold, BO., Burgess, S., Teumer, A., Medici, M., German Borderline Genomics Consortium, , Ellervik, C., Nick, B., Deloukas, P. and Marouli, E., 2024. The role of thyroid function in borderline personality disorder and schizophrenia: a Mendelian Randomisation study. Borderline Personal Disord Emot Dysregul, v. 11
    Doi: 10.1186/s40479-024-00246-3
  • 2023 (Published online)

  • Gill, D., Zagkos, L., Gill, R., Benzing, T., Jordan, J., Birkenfeld, AL., Burgess, S. and Zahn, G., 2023 (Published online). The citrate transporter SLC13A5 as a therapeutic target for kidney disease: evidence from Mendelian randomization to inform drug development BMC Medicine, v. 21
    Doi: http://doi.org/10.1186/s12916-023-03227-5
  • Kaptoge, S., Sun, L., Walker, M., Spackman, S., Pennells, L., Bolton, T., Willeit, P., Bell, S., Burgess, S., Thompson, SG., Inouye, M., Butterworth, AS., Wood, AM., Danesh, J. and Di Angelantonio, E., 2023 (Published online). Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation The Lancet Diabetes and Endocrinology,
    Doi: 10.1016/S2213-8587(23)00223-1
  • Patel, A., Ye, T., Xue, H., Lin, Z., Xu, S., Woolf, B., Mason, AM. and Burgess, S., 2023 (Published online). MendelianRandomization v0.9.0: updates to an R package for performing Mendelian randomization analyses using summarized data Wellcome Open Research, v. 8
    Doi: http://doi.org/10.12688/wellcomeopenres.19995.2
  • Topiwala, A., Mankia, K., Bell, S., Webb, A., Ebmeier, KP., Howard, I., Wang, C., Alfaro-Almagro, F., Miller, K., Burgess, S., Smith, S. and Nichols, TE., 2023 (Published online). Association of gout with brain reserve and vulnerability to neurodegenerative disease Nature Communications, v. 14
    Doi: 10.1038/s41467-023-38602-6
  • 2023 (No publication date)

  • Nielsen, MB., Çolak, Y., Benn, M., Mason, A., Burgess, S. and Nordestgaard, BG., 2023 (No publication date). Plasma Adiponectin Levels and Risk of Heart Failure, Atrial Fibrillation, Aortic Valve Stenosis, and Myocardial Infarction: Large scale observational and Mendelian Randomization evidence Cardiovascular Research,
  • 2023 (Accepted for publication)

  • Sofianopoulou, E., Kaptoge, SK., Afzal, S., Jiang, T., Gill, D., Gundersen, TE., Bolton, TR., Allara, E., Arnold, MG., Mason, AM., Chung, R., Pennells, LAM., Shi, F., Sun, L., Willeit, P., Forouhi, NG., Langenberg, C., Sharp, SJ., Panico, S., Engstrom, G., Melander, O., Tong, TYN., Perez-Cornago, A., Norberg, M., Johansson, I., Katzke, V., Srour, B., Jose Sanchez, M., Redondo-Sanchez, D., Olsen, A., Dahm, CC., Overvad, K., Brustad, M., Skeie, G., Moreno-Iribas, C., Onland-Moret, NC., van der Schouw, YT., Tsilidis, KK., Heath, AK., Agnoli, C., Krogh, V., de Boer, IH., Kobylecki, CJ., Colak, Y., Zittermann, A., Sundstrom, J., Welsh, P., Weiderpass, E., Aglago, EK., Ferrari, P., Clarke, R., Boutron, M-C., Severi, G., Macdonald, C., Providencia, R., Masala, G., Zamora-Ros, R., Boer, J., Verschuren, WMM., Cawthorn, P., Schierbeck, LL., Cooper, C., Schulze, MB., Bergmann, MM., Hannemann, A., Kiechl, S., Brenner, H., van Schoor, NM., Albertorio, JR., Sacerdote, C., Linneberg, A., Karhus, LL., Maria Huerta, J., Imaz, L., Joergensen, C., Ben-Shlomo, Y., Lundqvist, A., Gallacher, J., Sattar, N., Wood, AM., Wareham, NJ., Nordestgaard, BG., Di Angelantonio, E., Danesh, J., Butterworth, AS. and Burgess, S., 2023 (Accepted for publication). Estimating dose—response relationships for vitamin D with coronary heart disease, stroke, and allcause mortality: observational and revised Mendelian randomization analyses The Lancet Diabetes and Endocrinology,
  • Björnson, E., Adiels, M., Taskinen, M-R., Burgess, S., Chapman, MJ., Packard, CJ. and Borén, J., 2023 (Accepted for publication). Lipoprotein(a) is Markedly More Atherogenic than LDL: An Apolipoprotein B-based Genetic Analysis Journal of the American College of Cardiology,
  • Hernáez, Á., Lee, Y., Page, CM., Skåra, KH., Håberg, SE., Magnus, P., Njølstad, PR., Andreassen, OA., Corfield, EC., Havdahl, A., Fraser, A., Burgess, S., Lawlor, DA. and Magnus, MC., 2023 (Accepted for publication). Impaired glucose tolerance and cardiovascular risk factors in relation to infertility: a Mendelian randomization analysis in the Norwegian Mother, Father and Child Cohort Study Human Reproduction,
  • Paz, V., Dashti, HS., Burgess, S. and Garfield, V., 2023 (Accepted for publication). Selection of Genetic Instruments in Mendelian randomisation studies of sleep traits Sleep Medicine,
  • Burgess, S., 2023 (Accepted for publication). Violation of the constant genetic effect assumption can result in biased estimates for non-linear Mendelian randomization Human Heredity: international journal of human and medical genetics,
  • Chen, JY., Ardissino, M., Reddy, RK., Mason, A., Raisi-Eastbragh, Z., Di Angelantonio, E., Burgess, S. and Siong Ng, F., 2023 (Accepted for publication). Genetically predicted androgenic profiles and adverse cardiac markers – a sex-specific Mendelian randomisation study ESC Heart Failure,
  • Ardissino, M., Morley, AP., Slob, E., Schuermans, A., Rayes, B., Raisi-Estabragh, Z., de Marvao, A., Burgess, S., Rogne, T., Honigberg, MC. and Ng, FS., 2023 (Accepted for publication). Birth weight influences cardiac structure, function and disease risk: evidence of a causal association European Heart Journal,
  • Yuan, S., Li, X., Liu, Q., Wang, Z., Jiang, X., Burgess, S. and Larsson, SC., 2023 (Accepted for publication). Physical Activity, Sedentary Behavior, and Type 2 Diabetes: Mendelian Randomization Analysis Journal of the Endocrine Society,
  • Rajasundaram, S., Zebardast, N., Mehta, P., Khawaja, AP., Warwick, A., Duchinski, K., Burgess, S., Gill, D., Segrè, AV. and Wiggs, J., 2023 (Accepted for publication). TIE1 and TEK signalling, Intraocular pressure, and Primary open-angle glaucoma: a Mendelian randomization study Journal of Translational Medicine,
  • Yuan, S., Xu, F., Chen, J., Ruan, X., Li, Y., Burgess, S., Åkesson, A., Li, X., Gill, D. and Larsson, SC., 2023 (Accepted for publication). Proteomic insights into modifiable risk of venous thromboembolism and cardiovascular comorbidities Journal of Thrombosis and Haemostasis,
  • Tschiderer, L., van der Schouw, YT., Burgess, S., Bloemenkamp, KWM., Seekircher, L., Willeit, P., Onland-Moret, NC. and Peters, S., 2023 (Accepted for publication). Hypertensive disorders of pregnancy and cardiovascular disease risk: A Mendelian Randomisation study Heart,
  • Grant, A. and Burgess, S., 2023 (Accepted for publication). A Bayesian approach to Mendelian randomization using summary statistics in the univariable and multivariable settings with correlated pleiotropy American Journal of Human Genetics,
  • Zhao, SS. and Burgess, S., 2023 (Accepted for publication). Vitamin D is associated with reduced risk of Sjögren’s syndrome: a Mendelian randomization study Rheumatology,
  • Allara, E., 2023 (Accepted for publication). Genetically Predicted Plasma Cortisol and Common Chronic Diseases: A Mendelian Randomization Study Clinical Endocrinology,
  • Azzo, JD., Dib, M-J., Zagkos, L., Zhao, L., Wang, Z., Chang, C-P., Ebert, C., Salman, O., Gan, S., Zamani, P., Cohen, JB., van Empel, V., Richards, AM., Javaheri, A., Mann, DL., Rietzschel, E., Schafer, P., Seiffert, DA., Gill, D., Burgess, S., Ramirez-Valle, F., Gordon, DA., Cappola, TP. and Chirinos, JA., 2023 (Accepted for publication). Proteomic Associations of N-terminal (NT)-pro hormone BNP (NT-proBNP) in Heart Failure with Preserved Ejection Fraction (HFpEF) Circulation: Heart Failure,
  • Yang, G., Mason, A., Wood, AM., Schooling, CM. and Burgess, S., 2023 (Accepted for publication). Dose-Response Associations of Lipid Traits With Coronary Artery Disease and Mortality JAMA network open,
    Doi: 10.1001/jamanetworkopen.2023.52572
  • Tian, H., Mason, AM., Liu, C. and Burgess, S., 2023 (Accepted for publication). Relaxing parametric assumptions for non-linear Mendelian randomization using a doubly-ranked stratification method PLoS Genetics,
    Doi: http://doi.org/10.1371/journal.pgen.1010823
  • Fritsche, LG., Nam, K., Du, J., Kundu, R., Salvatore, M., Shi, X., Lee, S., Burgess, S. and Mukherjee, B., 2023 (Accepted for publication). Uncovering Associations between Pre-existing Conditions and COVID-19 Severity: A Polygenic Risk Score Approach Across Three Large Biobanks PLoS Genetics,
  • Topiwala, A., Bell, S., Burgess, S. and Nichols, TE., 2023 (Accepted for publication). Association of Gout with Brain Reserve and Vulnerability to Neurodegenerative Disease Nature Communications, v. 14
  • Gill, D., Zagkos, L., Gill, R., Benzing, T., Jordan, J., Birkenfield, AL., Burgess, S. and Zahn, G., 2023 (Accepted for publication). The citrate transporter SLC13A5 as a therapeutic target for kidney disease: evidence from Mendelian randomization to inform drug development BMC Medicine,
  • Tschiderer, L., Peters, SAE., van der Schouw, YT., van Westing, AC., Tong, TYN., Willeit, P., Seekircher, L., Moreno-Iribas, C., Maria Huerta, J., Crous-Bou, M., Söderholm, M., Schulze, MB., Johansson, C., Själander, S., Heath, AK., Macciotta, A., Dahm, CC., Ibsen, DB., Pala, V., Mellemkjær, L., Burgess, S., Wood, A., Kaaks, R., Katzke, V., Amiano, P., Rodriguez-Barranco, M., Engström, G., Weiderpass, E., Tjønneland, A., Halkjær, J., Panico, S., Danesh, J., Butterworth, A. and Onland-Moret, NC., 2023 (Accepted for publication). Age at menopause and the risk of stroke: Observational and Mendelian Randomization analysis in 204,244 postmenopausal women Journal of the American Heart Association,
  • Larsson, SC., Butterworth, AS. and Burgess, S., 2023 (Accepted for publication). Mendelian randomization for cardiovascular diseases: principles and applications European Heart Journal,
  • Klarin, D., Devineni, P., Sendamarai, AK., Angueira, AR., Graham, SE., Shen, YH., Levin, MG., Pirruccello, JP., Surakka, I., Karnam, PR., Roychowdhury, T., Li, Y., Wang, M., Aragam, KG., Paruchuri, K., Zuber, V., Shakt, GE., Tsao, NL., Judy, RL., Vy, HMT., Verma, SS., Rader, DJ., Do, R., Bavaria, JE., Nadkarni, GN., Ritchie, MD., Burgess, S., Guo, D-C., Ellinor, PT., LeMaire, SA., Milewicz, DM., Willer, CJ., Natarajan, P., Tsao, PS., Pyarajan, S. and Damrauer, SA., 2023 (Accepted for publication). Genome-wide association Study of thoracic aortic aneurysm and dissection in the Million Veteran Program Nature Genetics,
    Doi: http://doi.org/10.1038/s41588-023-01420-z
  • Chen, J., Yuan, S., Fu, T., Ruan, X., Qiao, J., Wang, X., Li, X., Gill, D., Burgess, S., Giovannucci, EL. and Larsson, SC., 2023 (Accepted for publication). Gastrointestinal Consequences of Type 2 Diabetes Mellitus and Impaired Glycemic Homeostasis: A Mendelian Randomization Study Diabetes Care,
  • 2023

  • Burgess, S., Davey Smith, G., Davies, N., Dudbridge, F., Gill, D., Glymour, M., Hartwig, F., Kutalik, Z., Holmes, M., Minelli, C., Morrison, J., Pan, W., Relton, C. and Theodoratou, E., 2023. Guidelines for performing Mendelian randomization investigations: update for summer 2023
    Doi: http://doi.org/10.12688/wellcomeopenres.15555.3
  • Roychowdhury, T., Klarin, D., Levin, MG., Spin, JM., Rhee, YH., Deng, A., Headley, CA., Tsao, NL., Gellatly, C., Zuber, V., Shen, F., Hornsby, WE., Laursen, IH., Verma, SS., Locke, AE., Einarsson, G., Thorleifsson, G., Graham, SE., Dikilitas, O., Pattee, JW., Judy, RL., Pauls-Verges, F., Nielsen, JB., Wolford, BN., Brumpton, BM., Dilmé, J., Peypoch, O., Juscafresa, LC., Edwards, TL., Li, D., Banasik, K., Brunak, S., Jacobsen, RL., Garcia-Barrio, MT., Zhang, J., Rasmussen, LM., Lee, R., Handa, A., Wanhainen, A., Mani, K., Lindholt, JS., Obel, LM., Strauss, E., Oszkinis, G., Nelson, CP., Saxby, KL., van Herwaarden, JA., van der Laan, SW., van Setten, J., Camacho, M., Davis, FM., Wasikowski, R., Tsoi, LC., Gudjonsson, JE., Eliason, JL., Coleman, DM., Henke, PK., Ganesh, SK., Chen, YE., Guan, W., Pankow, JS., Pankratz, N., Pedersen, OB., Erikstrup, C., Tang, W., Hveem, K., Gudbjartsson, D., Gretarsdottir, S., Thorsteinsdottir, U., Holm, H., Stefansson, K., Ferreira, MA., Baras, A., Kullo, IJ., Ritchie, MD., Christensen, AH., Iversen, KK., Eldrup, N., Sillesen, H., Ostrowski, SR., Bundgaard, H., Ullum, H., Burgess, S., Gill, D., Gallagher, K., Sabater-Lleal, M., DiscovEHR, , Regeneron Genetics Center, , UK Aneurysm Growth Study, , DBDS Genomic Consortium, , VA Million Veteran Program, , Surakka, I., Jones, GT., Bown, MJ., Tsao, PS., Willer, CJ. and Damrauer, SM., 2023. Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target. Nat Genet, v. 55
    Doi: http://doi.org/10.1038/s41588-023-01510-y
  • Tian, H. and Burgess, S., 2023. Estimation of time-varying causal effects with multivariable Mendelian randomization: some cautionary notes. Int J Epidemiol, v. 52
    Doi: 10.1093/ije/dyac240
  • Akbari, P., Vuckovic, D., Stefanucci, L., Jiang, T., Kundu, K., Kreuzhuber, R., Bao, EL., Collins, JH., Downes, K., Grassi, L., Guerrero, JA., Kaptoge, S., Knight, JC., Meacham, S., Sambrook, J., Seyres, D., Stegle, O., Verboon, JM., Walter, K., Watkins, NA., Danesh, J., Roberts, DJ., Di Angelantonio, E., Sankaran, VG., Frontini, M., Burgess, S., Kuijpers, T., Peters, JE., Butterworth, AS., Ouwehand, WH., Soranzo, N. and Astle, WJ., 2023. A genome-wide association study of blood cell morphology identifies cellular proteins implicated in disease aetiology. Nature Communications, v. 14
    Doi: 10.1038/s41467-023-40679-y
  • Hao, Y., Xiao, J., Liang, Y., Wu, X., Zhang, H., Xiao, C., Zhang, L., Burgess, S., Wang, N., Zhao, X., Kraft, P., Li, J. and Jiang, X., 2023. Reassessing the causal role of obesity in breast cancer susceptibility: a comprehensive multivariable Mendelian randomization investigating the distribution and timing of exposure. Int J Epidemiol, v. 52
    Doi: http://doi.org/10.1093/ije/dyac143
  • Feng, Q., Grant, AJ., Yang, Q., Burgess, S., Bešević, J., Conroy, M., Omiyale, W., Sun, Y., Allen, N. and Lacey, B., 2023. Genetically Predicted Vegetable Intake and Cardiovascular Diseases and Risk Factors: An Investigation with Mendelian Randomization. Nutrients, v. 15
    Doi: http://doi.org/10.3390/nu15173682
  • Woolf, B., Rajasundaram, S., Cronjé, HT., Yarmolinsky, J., Burgess, S. and Gill, D., 2023. A drug target for erectile dysfunction to help improve fertility, sexual activity, and wellbeing: mendelian randomisation study. BMJ, v. 383
    Doi: http://doi.org/10.1136/bmj-2023-076197
  • Yuan, S., Chen, J., Ruan, X., Sun, Y., Zhang, K., Wang, X., Li, X., Gill, D., Burgess, S., Giovannucci, E. and Larsson, SC., 2023. Smoking, alcohol consumption, and 24 gastrointestinal diseases: Mendelian randomization analysis. Elife, v. 12
    Doi: 10.7554/eLife.84051
  • Thorkildsen, MS., Gustad, LT., Mohus, RM., Burgess, S., Nilsen, TIL., Damås, JK. and Rogne, T., 2023. Association of Genetically Predicted Insomnia With Risk of Sepsis: A Mendelian Randomization Study. JAMA Psychiatry, v. 80
    Doi: http://doi.org/10.1001/jamapsychiatry.2023.2717
  • Schuermans, A., Truong, B., Ardissino, M., Slob, EAW., Gray, KJ., Yan, Q., Burgess, S., Natarajan, P. and Honigberg, MC., 2023. Mendelian randomization of the cardiovascular disease-related proteome identifies novel drug targets for gestational hypertension and preeclampsia European Heart Journal, v. 44
    Doi: http://doi.org/10.1093/eurheartj/ehad655.2731
  • Haycock, PC., Borges, MC., Burrows, K., Lemaitre, RN., Harrison, S., Burgess, S., Chang, X., Westra, J., Khankari, NK., Tsilidis, KK., Gaunt, T., Hemani, G., Zheng, J., Truong, T., O'Mara, TA., Spurdle, AB., Law, MH., Slager, SL., Birmann, BM., Saberi Hosnijeh, F., Mariosa, D., Amos, CI., Hung, RJ., Zheng, W., Gunter, MJ., Davey Smith, G., Relton, C. and Martin, RM., 2023. Design and quality control of large-scale two-sample Mendelian randomization studies INTERNATIONAL JOURNAL OF EPIDEMIOLOGY,
    Doi: http://doi.org/10.1093/ije/dyad018
  • Zhao, JV., Fan, B. and Burgess, S., 2023. Using genetics to examine the overall and sex-specific associations of branch-chain amino acids and the valine metabolite, 3-hydroxyisobutyrate, with ischemic heart disease and diabetes: A two-sample Mendelian randomization study. Atherosclerosis, v. 381
    Doi: http://doi.org/10.1016/j.atherosclerosis.2023.117246
  • Georgiou, AN., Zagkos, L., Markozannes, G., Chalitsios, CV., Asimakopoulos, AG., Xu, W., Wang, L., Mesa-Eguiagaray, I., Zhou, X., Loizidou, EM., Kretsavos, N., Theodoratou, E., Gill, D., Burgess, S., Evangelou, E., Tsilidis, KK. and Tzoulaki, I., 2023. Appraising the Causal Role of Risk Factors in Coronary Artery Disease and Stroke: A Systematic Review of Mendelian Randomization Studies. J Am Heart Assoc, v. 12
    Doi: http://doi.org/10.1161/JAHA.122.029040
  • Patel, A., Gill, D., Newcombe, P. and Burgess, S., 2023. Conditional inference in cis-Mendelian randomization using weak genetic factors. Biometrics, v. 79
    Doi: 10.1111/biom.13888
  • Chen, C-Y., Burgess, S. and Thompson, SG., 2023. Mendelian randomization: methods for causal inference using genetic variants 2nd edition BIOMETRICS, v. 79
    Doi: http://doi.org/10.1111/biom.13874
  • Chen, L., Burgess, S., Luo, S. and Lv, G., 2023. First release of Mendelian randomisation book in Chinese eGastroenterology, v. 1
    Doi: 10.1136/egastro-2023-100043
  • Gkatzionis, A., Burgess, S. and Newcombe, PJ., 2023. Statistical methods for <i>cis</i>‐Mendelian randomization with two‐sample summary‐level data Genetic Epidemiology, v. 47
    Doi: 10.1002/gepi.22506
  • Zheng, J., Xu, M., Yang, Q., Hu, C., Walker, V., Lu, J., Wang, J., Liu, R., Xu, Y., Wang, T., Zhao, Z., Yuan, J., Burgess, S., Au Yeung, SL., Luo, S., Anderson, EL., Holmes, MV., Davey Smith, G., Ning, G., Wang, W., Gaunt, TR. and Bi, Y., 2023. Efficacy of metformin targets on cardiometabolic health in the general population and non-diabetic individuals: a Mendelian randomization study EBioMedicine,
    Doi: http://doi.org/10.1016/j.ebiom.2023.104803
  • Chen, JY., Ardissino, M., Reddy, RK., Mason, A., Burgess, S. and Ng, FS., 2023. EFFECT OF SEX HORMONE BINDING GLOBULIN AND TESTOSTERONE LEVELS ON HEART FAILURE AND CMR-DERIVED LEFT VENTRICULAR PARAMETERS - A MENDELIAN RANDOMIZATION STUDY JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, v. 81
  • Tschiderer, L., van der Schouw, YT., Burgess, S., Bloemenkamp, KW., Seekircher, L., Willeit, P., Onland-Moret, NC. and Peters, SA., 2023. Hypertensive disorders of pregnancy and cardiovascular disease risk: A Mendelian Randomisation study. Eur Heart J, v. 44
    Doi: 10.1093/eurheartj/ehad655.2726
  • Björnson, E., Adiels, M., Taskinen, M-R., Burgess, S., Rawshani, A., Borén, J. and Packard, CJ., 2023. Triglyceride-rich lipoprotein remnants, low-density lipoproteins, and risk of coronary heart disease: a UK Biobank study. Eur Heart J, v. 44
    Doi: 10.1093/eurheartj/ehad337
  • Chen, JY., Ardissino, M., Reddy, RK., Mason, AM., Raisi‐Estabragh, Z., Di Angelantonio, E., Burgess, S. and Ng, FS., 2023. Genetically predicted androgenic profiles and adverse cardiac markers: a sex‐specific Mendelian randomization study ESC Heart Failure, v. 10
    Doi: 10.1002/ehf2.14527
  • Hao, Y., Xiao, J., Liang, Y., Wu, X., Zhang, H., Xiao, C., Zhang, L., Burgess, S., Wang, N., Zhao, X., Kraft, P., Li, J. and Jiang, X., 2023. Response to: Reassessing the causal role of early life adiposity in breast cancer. Int J Epidemiol, v. 52
    Doi: 10.1093/ije/dyad028
  • Zhao, SS., Mason, A., Gjekmarkaj, E., Yanaoka, H. and Burgess, S., 2023. Associations between vitamin D and autoimmune diseases: Mendelian randomization analysis. Semin Arthritis Rheum, v. 62
    Doi: 10.1016/j.semarthrit.2023.152238
  • Bassett, E., Broadbent, J., Gill, D., Burgess, S. and Mason, AM., 2023. Inconsistency in UK Biobank Event Definitions From Different Data Sources and Its Impact on Bias and Generalizability: A Case Study of Venous Thromboembolism. Am J Epidemiol,
    Doi: http://doi.org/10.1093/aje/kwad232
  • Nielsen, M., Çolak, Y., Benn, M., Mason, A., Burgess, S. and Nordestgaard, B., 2023. Elevated plasma adiponectin in risk of heart failure, atrial fibrillation, aortic valve stenosis, and myocardial infarction: Observational and mendelian randomization studies Atherosclerosis, v. 379
    Doi: http://doi.org/10.1016/j.atherosclerosis.2023.06.943
  • Zuber, V., Lewin, A., Levin, MG., Haglund, A., Ben-Aicha, S., Emanueli, C., Damrauer, S., Burgess, S., Gill, D. and Bottolo, L., 2023. Multi-response Mendelian randomization: Identification of shared and distinct exposures for multimorbidity and multiple related disease outcomes. Am J Hum Genet, v. 110
    Doi: http://doi.org/10.1016/j.ajhg.2023.06.005
  • Yuan, S., Li, Y., Wang, L., Xu, F., Chen, J., Levin, MG., Xiong, Y., Voight, BF., Damrauer, SM., Gill, D., Burgess, S., Åkesson, A., Michaëlsson, K., Li, X., Shen, X. and Larsson, SC., 2023. Deciphering the genetic architecture of atrial fibrillation offers insights into disease prediction, pathophysiology and downstream sequelae. medRxiv,
    Doi: http://doi.org/10.1101/2023.07.20.23292938
  • Burgess, S., Wood, AM. and Butterworth, AS., 2023. Authors' reply LANCET DIABETES & ENDOCRINOLOGY, v. 11
  • Ryan, D., Karhunen, V., Su, B., Traylor, M., Richardson, TG., Burgess, S., Tzoulaki, I. and Gill, D., 2023. Genetic evidence for protective effects of angiotensin converting enzyme against Alzheimer's disease but not other neurodegenerative diseases British Journal of Pharmacology, v. 180
    Doi: http://doi.org/10.1212/NXG.0000000000200014
  • Haycock, PC., Borges, MC., Burrows, K., Lemaitre, RN., Burgess, S., Khankari, NK., Tsilidis, KK., Gaunt, TR., Hemani, G., Zheng, J., Truong, T., Birmann, BM., OMara, T., Spurdle, AB., Iles, MM., Law, MH., Slager, SL., Saberi Hosnijeh, F., Mariosa, D., Cotterchio, M., Cerhan, JR., Peters, U., Enroth, S., Gharahkhani, P., Le Marchand, L., Williams, AC., Block, RC., ACCC, , CCFR-CORECT-GECCO, , EPITHYR, , InterLymph, , MMAC, , ECAC, , ILCCO, , PRACTICAL Consortium, , PanScan, , PanC4, , Amos, CI., Hung, RJ., Zheng, W., Gunter, MJ., Smith, GD., Relton, C., Martin, RM. and Fatty Acids in Cancer Mendelian Randomization Collaboration, , 2023. The association between genetically elevated polyunsaturated fatty acids and risk of cancer. EBioMedicine, v. 91
    Doi: http://doi.org/10.1016/j.ebiom.2023.104510
  • Papadopoulou, A., Åsvold, BO., Burgess, S., Kuś, A., Medici, M., Sterenborg, R., Teumer, A., Deloukas, P. and Marouli, E., 2023. Height, Autoimmune Thyroid Disease, and Thyroid Cancer: A Mendelian Randomization Study. Thyroid, v. 33
    Doi: 10.1089/thy.2023.0272
  • van de Vegte, YJ., Eppinga, RN., van der Ende, MY., Hagemeijer, YP., Mahendran, Y., Salfati, E., Smith, AV., Tan, VY., Arking, DE., Ntalla, I., Appel, EV., Schurmann, C., Brody, JA., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, JH., Isaacs, A., Wang, L., Luan, J., Hwang, S-J., Mononen, N., Auro, K., Jackson, AU., Bielak, LF., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, W., Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W., Kleber, ME., Guo, X., Lin, HJ., Pavani, F., Galesloot, TE., Noordam, R., Milaneschi, Y., Schraut, KE., den Hoed, M., Degenhardt, F., Trompet, S., van den Berg, ME., Pistis, G., Tham, Y-C., Weiss, S., Sim, XS., Li, HL., van der Most, PJ., Nolte, IM., Lyytikäinen, L-P., Said, MA., Witte, DR., Iribarren, C., Launer, L., Ring, SM., de Vries, PS., Sever, P., Linneberg, A., Bottinger, EP., Padmanabhan, S., Psaty, BM., Sotoodehnia, N., Kolcic, I., DCCT/EDIC Research Group, , Arnar, DO., Gudbjartsson, DF., Holm, H., Balkau, B., Silva, CT., Newton-Cheh, CH., Nikus, K., Salo, P., Mohlke, KL., Peyser, PA., Schunkert, H., Lorentzon, M., Lahti, J., Rao, DC., Cornelis, MC., Faul, JD., Smith, JA., Stolarz-Skrzypek, K., Bandinelli, S., Concas, MP., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, MF., Strauch, K., Delgado, GE., Taylor, KD., Yao, J., Foco, L., Melander, O., de Graaf, J., de Mutsert, R., de Geus, EJC., Johansson, Å., Joshi, PK., Lind, L., Franke, A., Macfarlane, PW., Tarasov, KV., Tan, N., Felix, SB., Tai, E-S., Quek, DQ., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, AP., Raitakari, OT., Hansen, T., Assimes, T., Gudnason, V., Timpson, NJ., Morrison, AC., Munroe, PB., Strachan, DP., Grarup, N., Loos, RJF., Heckbert, SR., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, NJ., van Duijn, CM., Feitosa, MF., O'Donnell, CJ., Kähönen, M., Perola, M., Boehnke, M., Kardia, SLR., Erdmann, J., Palmer, CNA., Ohlsson, C., Porteous, DJ., Eriksson, JG., Bouchard, C., Moebus, S., Kraft, P., Weir, DR., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, JC., Kooner, JS., März, W., Rotter, JI., Hicks, AA., Smith, JG., Kiemeney, LALM., Mook-Kanamori, DO., Penninx, BWJH., Gyllensten, U., Wilson, JF., Burgess, S., Sundström, J., Lieb, W., Jukema, JW., Eijgelsheim, M., Lakatta, ELM., Cheng, C-Y., Dörr, M., Wong, T-Y., Sabanayagam, C., Oldehinkel, AJ., Riese, H., Lehtimäki, T., Verweij, N. and van der Harst, P., 2023. Genetic insights into resting heart rate and its role in cardiovascular disease. Nat Commun, v. 14
    Doi: http://doi.org/10.1038/s41467-023-39521-2
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk. Cancer Epidemiol Biomarkers Prev, v. 32
    Doi: http://doi.org/10.1158/1055-9965.EPI-23-0757
  • Burgess, S., Wood, AM. and Butterworth, AS., 2023. Mendelian randomisation and vitamin D: the importance of model assumptions - Authors' reply. Lancet Diabetes Endocrinol, v. 11
    Doi: http://doi.org/10.1016/S2213-8587(22)00344-8
  • Woolf, B., Cronjé, HT., Zagkos, L., Burgess, S., Gill, D. and Larsson, SC., 2023. Appraising the causal relationship between plasma caffeine levels and neuropsychiatric disorders through Mendelian randomization. BMC Med, v. 21
    Doi: http://doi.org/10.1186/s12916-023-03008-0
  • Patel, A., Ye, T., Xue, H., Lin, Z., Xu, S., Woolf, B., Mason, AM. and Burgess, S., 2023. MendelianRandomization v0.9.0: updates to an R package for performing Mendelian randomization analyses using summarized data. Wellcome Open Res, v. 8
    Doi: http://doi.org/10.12688/wellcomeopenres.19995.1
  • 2022 (Published online)

  • Allara, E., Lee, W-H., Burgess, S. and Larsson, SC., 2022 (Published online). Genetically predicted cortisol levels and risk of venous thromboembolism PLOS ONE, v. 17
    Doi: 10.1371/journal.pone.0272807
  • Yuan, S., Chen, J., Ruan, X., Vithayathil, M., Kar, S., Li, X., Mason, AM., Burgess, S. and Larsson, SC., 2022 (Published online). Rheumatoid arthritis and risk of site-specific cancers: Mendelian randomization study in European and East Asian populations Arthritis Research &amp; Therapy, v. 24
    Doi: 10.1186/s13075-022-02970-z
  • Stacey, D., Chen, L., Stanczyk, PJ., Howson, JMM., Mason, AM., Burgess, S., MacDonald, S., Langdown, J., McKinney, H., Downes, K., Farahi, N., Peters, JE., Basu, S., Pankow, JS., Tang, W., Pankratz, N., Sabater-Lleal, M., de Vries, PS., Smith, NL., Dehghan, A., Heath, AS., Morrison, AC., Reiner, AP., Johnson, A., Richmond, A., Peters, A., van Hylckama Vlieg, A., McKnight, B., Psaty, BM., Hayward, C., Ward-Caviness, C., O’Donnell, C., Chasman, D., Strachan, DP., Tregouet, DA., Mook-Kanamori, D., Gill, D., Thibord, F., Asselbergs, FW., Leebeek, FWG., Rosendaal, FR., Davies, G., Homuth, G., Temprano, G., Campbell, H., Taylor, HA., Bressler, J., Huffman, JE., Rotter, JI., Yao, J., Wilson, JF., Bis, JC., Hahn, JM., Desch, KC., Wiggins, KL., Raffield, LM., Bielak, LF., Yanek, LR., Kleber, ME., Mueller, M., Kavousi, M., Mangino, M., Conomos, MP., Liu, M., Brown, MR., Jhun, M-A., Chen, M-H., de Maat, MPM., Peyser, PA., Elliot, P., Wei, P., Wild, PS., Morange, PE., van der Harst, P., Yang, Q., Le, N-Q., Marioni, R., Li, R., Damrauer, SM., Cox, SR., Trompet, S., Felix, SB., Völker, U., Koenig, W., Jukema, JW., Guo, X., Gelinas, AD., Schneider, DJ., Janjic, N., Samani, NJ., Ye, S., Summers, C., Chilvers, ER., Danesh, J. and Paul, DS., 2022 (Published online). Elucidating mechanisms of genetic cross-disease associations at the PROCR vascular disease locus Nature Communications, v. 13
    Doi: 10.1038/s41467-022-28729-3
  • Zhao, JV., Burgess, S., Fan, B. and Schooling, CM., 2022 (Published online). l-carnitine, a friend or foe for cardiovascular disease? A Mendelian randomization study BMC Medicine, v. 20
    Doi: 10.1186/s12916-022-02477-z
  • 2022 (Accepted for publication)

  • Larsson, SC., Mason, AM., Vithayathil, M., Carter, P., Kar, S., Zheng, J-S. and Burgess, S., 2022 (Accepted for publication). Circulating vitamin C and digestive system cancers: Mendelian randomization study Clinical Nutrition,
  • Burgess, S., 2022 (Accepted for publication). Systematic review of Mendelian randomization studies on risk of cancer BMC Medicine,
    Doi: 10.1186/s12916-022-02246-y
  • Burgess, S., Mason, A., Grant, A., Slob, E., Gkatzionis, A., Zuber, V., Patel, A., Tian, H., Liu, C., Haynes, W., Knudsen, LB., Hovingh, GK., Whittaker, J. and Gill, D., 2022 (Accepted for publication). Using genetic association data to guide drug discovery and development: review of methods and applications American Journal of Human Genetics,
  • Mayerhofer, E., Malik, R., Parodi, L., Burgess, S., Harloff, A., Dichgans, M., Rosand, J., Anderson, CD. and Georgakis, MK., 2022 (Accepted for publication). Genetically predicted on-statin LDL response is associated with higher intracerebral hemorrhage risk Brain,
    Doi: http://doi.org/10.1093/brain/awac186
  • Chen, L., Peters, JE., Prins, B., Persyn, E., Taylor, M., Surendran, P., Karthikeyan, S., Yonova-Doing, E., Di Angelantonio, E., Roberts, DJ., Watkins, NA., Ouwehand, WH., Danesh, J., Lewis, CM., Bronson, PG., Markus, HS., Burgess, S., Butterworth, AS. and Howson, JMM., 2022 (Accepted for publication). Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke Nature Communications,
    Doi: http://doi.org/10.1038/s41467-022-33675-1
  • Burgess, S., Batool, F. and Patel, A., 2022 (Accepted for publication). Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization Genetic Epidemiology,
  • Burgess, S., 2022 (Accepted for publication). Systemic iron status and maternal pregnancy complications: A Mendelian randomization study International Journal of Epidemiology,
  • Burgess, S., Batool, F. and Patel, A., 2022 (Accepted for publication). Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization Genetic Epidemiology,
  • Seyedsalehi, A., Warrier, V., Bethlehem, RAI., Perry, BI., Burgess, S. and Murray, GK., 2022 (Accepted for publication). Educational attainment, structural brain reserve and Alzheimer's disease: a Mendelian randomization analysis. Brain,
    Doi: http://doi.org/10.1093/brain/awac392
  • Burgess, S., Chirinos, J., Damrauer, S. and Gill, D., 2022 (Accepted for publication). Genetically-predicted pulse pressure and risk of abdominal aortic aneurysm: a Mendelian randomization analysis Circulation: Genomic and Precision Medicine,
  • Burgess, S., 2022 (Accepted for publication). Avoiding collider bias in Mendelian randomization when performing stratified analyses European Journal of Epidemiology,
  • Mason, A. and Burgess, S., 2022 (Accepted for publication). Software Application Profile: SUMnlmr, an R package that facilitates flexible and reproducible non-linear Mendelian randomisation analyses International Journal of Epidemiology,
  • Paul, D., Stacey, D., Chen, L., Howson, J., Mason, A., Burgess, S., Farahi, N., Summers, C. and Danesh, J., 2022 (Accepted for publication). Elucidating mechanisms of genetic cross-disease associations at the PROCR vascular disease locus Nature Communications, v. 13
    Doi: 10.1038/s41467-022-28729-3
  • Burgess, S., 2022 (Accepted for publication). Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT Communications Biology,
    Doi: http://doi.org/10.1038/s42003-022-03529-z
  • Allara, E., Burgess, S., Lee, W-H. and Larsson, SC., 2022 (Accepted for publication). Genetically predicted cortisol levels and risk of venous thromboembolism PLoS One,
  • Hernáez, Á., Wootton, R., Page, C., Skåra, K., Fraser, A., Rogne, T., Magnus, P., Njølstad, P., Andreassen, O., Burgess, S., Lawlor, D. and Magnus, MC., 2022 (Accepted for publication). Smoking and subfertility: multivariable regression and Mendelian randomization analyses in the Norwegian Mother, Father and Child Cohort Study Fertility and Sterility, v. 118
    Doi: 10.1016/j.fertnstert.2022.04.001
  • Burgess, S., 2022 (Accepted for publication). Applying Mendelian randomization to appraise causality in relationships between nutrition and cancer Cancer Causes and Control,
  • Garfield, V., Salzmann, A., Burgess, S. and Chaturvedi, N., 2022 (Accepted for publication). A Guide for Selection of Genetic Instruments in Mendelian randomisation (MR) studies of Type-2 diabetes and HbA1c: towards an integrated approach Diabetes,
  • Ryan, DK., Karhunen, V., Su, B., Traylor, M., Richardson, TG., Burgess, S., Tzoulaki, I. and Gill, D., 2022 (Accepted for publication). Genetic evidence for protective effects of angiotensin converting enzyme against Alzheimer's disease but not other neurodegenerative diseases in European populations Neurology Genetics,
  • Burgess, S., Carter, P. and Mason, A., 2022 (Accepted for publication). Genetic liability to rheumatoid arthritis in relation to coronary artery disease and stroke risk Arthritis and Rheumatology,
  • Carter, P., Yuan, S., Kar, S., Vithayathil, M., Mason, AM., Burgess, S. and Larsson, SC., 2022 (Accepted for publication). Coffee consumption and cancer risk: a Mendelian randomisation study Clinical Nutrition,
  • Yuan, S., Mason, AM., Burgess, S. and Larsson, SC., 2022 (Accepted for publication). Differentiating Associations of Glycemic Traits with Atherosclerotic and Thrombotic Outcomes: Mendelian Randomization Investigation Diabetes,
    Doi: http://doi.org/10.2337/db21-0905
  • Georgakis, MK., Malik, R., Richardson, TG., Howson, JMM., Anderson, CD., Burgess, S., Hovingh, GK., Dichgans, M. and Gill, D., 2022 (Accepted for publication). Associations of genetically predicted IL-6 signaling with cardiovascular disease risk across population subgroups BMC Medicine,
  • Jiang, T., Butterworth, AS., Gill, D. and Burgess, S., 2022 (Accepted for publication). An empirical investigation into the impact of winner’s curse on estimates from Mendelian randomization International Journal of Epidemiology,
  • Burgess, S. and Larsson, SC., 2022 (Accepted for publication). Appraising the causal role of smoking in multiple diseases: A systematic review and meta-analysis of Mendelian randomization studies EBioMedicine,
  • Yuan, S., Mason, AM., Titova, OE., Vithayathil, M., Kar, S., Chen, J., Li, X., Burgess, S. and Larsson, SC., 2022 (Accepted for publication). Morning Chronotype and Digestive Tract Cancers: Mendelian Randomization Study International Journal of Cancer,
  • Yuan, S., Chen, J., Ruan, X., Vithayathil, M., Kar, S., Li, X., Mason, A., Burgess, S. and Larsson, SC., 2022 (Accepted for publication). Rheumatoid arthritis and risk of site-specific cancers: Mendelian randomization study in European and East Asian populations Arthritis Research and Therapy,
  • Topiwala, A., Taschler, B., Ebmeier, KP., Smith, S., Zhou, H., Levey, DF., Codd, V., Samani, NJ., Gelernter, J., Nichols, TE. and Burgess, S., 2022 (Accepted for publication). Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol’s effects Molecular Psychiatry,
  • Burgess, S., 2022 (Accepted for publication). “C-reactive protein levels and risk of dementia”: Subgroup analyses in Mendelian randomization are likely to be misleading Alzheimer's and Dementia,
  • Ardissino, M., Slob, E., Carter, P., Rogne, T., Girling, J., Burgess, S. and Ng, FS., 2022 (Accepted for publication). Sex-specific reproductive factors augment cardiovascular disease risk in females: a Mendelian randomization study Journal of the American Heart Association,
  • Burgess, S. and Gill, D., 2022 (Accepted for publication). Genetic evidence for protective effects of angiotensin converting enzyme against Alzheimer's disease but not other neurodegenerative diseases in European populations Neurology Genetics, v. 8
    Doi: http://doi.org/10.1212/NXG.0000000000200014
  • Pinto Pereira, SM., Garfield, V., Norris, T., Burgess, S., Williams, DM., Dodds, R., Sawyer, AA., Robinson, SM. and Cooper, R., 2022 (Accepted for publication). Vitamin D and grip strength: a non-linear Mendelian Randomisation study in UK Biobank Journal of Gerontology Series A: Biological Sciences and Medical Sciences,
  • Zhao, JV., Burgess, S., Fan, B. and Schooling, CM., 2022 (Accepted for publication). L-carnitine, a friend or foe for cardiovascular disease? A Mendelian randomization study BMC Medicine,
  • Gkatzionis, A., Burgess, S. and Newcombe, PJ., 2022 (Accepted for publication). Statistical Methods for cis-Mendelian Randomization with Two-sample Summary-level Data Genetic Epidemiology,
  • DePaolo, J., Levin, MG., Tcheandjieu, C., Priest, J., Gill, D., Burgess, S., Damrauer, SM. and Chirinos, JA., 2022 (Accepted for publication). Relationship between ascending thoracic aortic diameter and blood pressure, a Mendelian randomization study Arteriosclerosis, Thrombosis and Vascular Biology,
  • Topiwala, A., Wang, C., Ebmeier, K., Burgess, S., Bell, S., Levey, DF., Zhou, H., McCracken, C., Roca-Fernández, A., Petersen, SE., Raman, B., Husain, M., Gelernter, J., Miller, KL., Smith, SM. and Nichols, TE., 2022 (Accepted for publication). Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and Mendelian randomization analyses PLoS Medicine,
  • Cohen, JB., Mitchell, GF., Gill, D., Burgess, S., Rahman, M., Hanff, T., Ramachandran, VS., Mutalik, K., Townsend, RR. and Chirinos, JA., 2022 (Accepted for publication). Arterial Stiffness and Diabetes Risk in Framingham Heart Study and UK Biobank Circulation,
  • 2022

  • Pinto Pereira, SM., Garfield, V., Norris, T., Burgess, S., Williams, DM., Dodds, R., Sayer, AA., Robinson, SM. and Cooper, R., 2022. Linear and Non-linear associations between vitamin D and grip strength: a Mendelian Randomisation study in UK Biobank. J Gerontol A Biol Sci Med Sci,
    Doi: 10.1093/gerona/glac255
  • Yuan, S., Mason, AM., Bruzelius, M., Akesson, A., Burgess, S. and Larsson, SC., 2022. Selenium concentration and cardiovascular disease risk: Mendelian randomization study EUROPEAN HEART JOURNAL, v. 43
  • Gill, D. and Burgess, S., 2022. The evolution of mendelian randomization for investigating drug effects. PLoS Medicine, v. 19
    Doi: http://doi.org/10.1371/journal.pmed.1003898
  • Soremekun, O., Karhunen, V., He, Y., Rajasundaram, S., Liu, B., Gkatzionis, A., Soremekun, C., Udosen, B., Musa, H., Silva, S., Kintu, C., Mayanja, R., Nakabuye, M., Machipisa, T., Mason, A., Vujkovic, M., Zuber, V., Soliman, M., Mugisha, J., Nash, O., Kaleebu, P., Nyirenda, M., Chikowore, T., Nitsch, D., Burgess, S., Gill, D. and Fatumo, S., 2022. Lipid traits and type 2 diabetes risk in African ancestry individuals: A Mendelian Randomization study. EBioMedicine, v. 78
    Doi: http://doi.org/10.1016/j.ebiom.2022.103953
  • Skaaby, T., Kilpeläinen, TO., Mahendran, Y., Huang, LO., Sallis, H., Thuesen, BH., Kårhus, LL., Leth-Møller, KB., Grarup, N., Hansen, T., Pedersen, O., Burgess, S., Munafò, MR. and Linneberg, A., 2022. Association of milk intake with hay fever, asthma, and lung function: a Mendelian randomization analysis. Eur J Epidemiol, v. 37
    Doi: http://doi.org/10.1007/s10654-021-00826-5
  • Ardissino, M., Slob, E., Rogne, T., Burgess, S. and Ng, FS., 2022. Impact of reproductive factors on major cardiovascular disease risk in women: a Mendelian randomization study EUROPEAN HEART JOURNAL, v. 43
  • Williams, JA., Burgess, S., Suckling, J., Lalousis, PA., Batool, F., Griffiths, SL., Palmer, E., Karwath, A., Barsky, A., Gkoutos, GV., Wood, S., Barnes, NM., David, AS., Donohoe, G., Neill, JC., Deakin, B., Khandaker, GM., Upthegrove, R. and PIMS Collaboration, , 2022. Inflammation and Brain Structure in Schizophrenia and Other Neuropsychiatric Disorders: A Mendelian Randomization Study. JAMA Psychiatry,
    Doi: http://doi.org/10.1001/jamapsychiatry.2022.0407
  • Zheng, J., Zhang, Y., Rasheed, H., Walker, V., Sugawara, Y., Li, J., Leng, Y., Elsworth, B., Wootton, RE., Fang, S., Yang, Q., Burgess, S., Haycock, PC., Borges, MC., Cho, Y., Carnegie, R., Howell, A., Robinson, J., Thomas, LF., Brumpton, BM., Hveem, K., Hallan, S., Franceschini, N., Morris, AP., Köttgen, A., Pattaro, C., Wuttke, M., Yamamoto, M., Kashihara, N., Akiyama, M., Kanai, M., Matsuda, K., Kamatani, Y., Okada, Y., Walters, R., Millwood, IY., Chen, Z., Davey Smith, G., Barbour, S., Yu, C., Åsvold, BO., Zhang, H. and Gaunt, TR., 2022. Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease. Int J Epidemiol, v. 50
    Doi: http://doi.org/10.1093/ije/dyab203
  • Markozannes, G., Kanellopoulou, A., Dimopoulou, O., Kosmidis, D., Zhang, X., Wang, L., Theodoratou, E., Gill, D., Burgess, S. and Tsilidis, KK., 2022. Systematic review of Mendelian randomization studies on risk of cancer BMC Medicine, v. 20
    Doi: 10.1186/s12916-022-02246-y
  • Zheng, J., Xu, M., Walker, V., Yuan, J., Korologou-Linden, R., Robinson, J., Huang, P., Burgess, S., Au Yeung, SL., Luo, S., Holmes, MV., Davey Smith, G., Ning, G., Wang, W., Gaunt, TR. and Bi, Y., 2022. Evaluating the efficacy and mechanism of metformin targets on reducing Alzheimer's disease risk in the general population: a Mendelian randomisation study. Diabetologia, v. 65
    Doi: http://doi.org/10.1007/s00125-022-05743-0
  • Yuan, S., Zheng, J-S., Mason, AM., Burgess, S. and Larsson, SC., 2022. Genetically predicted circulating vitamin C in relation to cardiovascular disease. Eur J Prev Cardiol, v. 28
    Doi: http://doi.org/10.1093/eurjpc/zwab081
  • Milaneschi, Y., Kappelmann, N., Ye, Z., Lamers, F., Moser, S., Jones, PB., Burgess, S., Penninx, BWJH. and Khandaker, GM., 2022. Correction: Association of inflammation with depression and anxiety: evidence for symptom-specificity and potential causality from UK Biobank and NESDA cohorts. Mol Psychiatry, v. 27
    Doi: http://doi.org/10.1038/s41380-021-01388-4
  • Gaziano, L., Sun, L., Arnold, M., Bell, S., Cho, K., Kaptoge, SK., Song, RJ., Burgess, S., Posner, DC., Mosconi, K., Robinson-Cohen, C., Mason, AM., Bolton, TR., Tao, R., Allara, E., Schubert, P., Chen, L., Staley, JR., Staplin, N., Altay, S., Amiano, P., Arndt, V., Ärnlöv, J., Barr, ELM., Björkelund, C., Boer, JMA., Brenner, H., Casiglia, E., Chiodini, P., Cooper, JA., Coresh, J., Cushman, M., Dankner, R., Davidson, KW., de Jongh, RT., Donfrancesco, C., Engström, G., Freisling, H., de la Cámara, AG., Gudnason, V., Hankey, GJ., Hansson, P-O., Heath, AK., Hoorn, EJ., Imano, H., Jassal, SK., Kaaks, R., Katzke, V., Kauhanen, J., Kiechl, S., Koenig, W., Kronmal, RA., Kyrø, C., Lawlor, DA., Ljungberg, B., MacDonald, C., Masala, G., Meisinger, C., Melander, O., Moreno Iribas, C., Ninomiya, T., Nitsch, D., Nordestgaard, BG., Onland-Moret, C., Palmieri, L., Petrova, D., Garcia, JRQ., Rosengren, A., Sacerdote, C., Sakurai, M., Santiuste, C., Schulze, MB., Sieri, S., Sundström, J., Tikhonoff, V., Tjønneland, A., Tong, T., Tumino, R., Tzoulaki, I., van der Schouw, YT., Monique Verschuren, WM., Völzke, H., Wallace, RB., Wannamethee, SG., Weiderpass, E., Willeit, P., Woodward, M., Yamagishi, K., Zamora-Ros, R., Akwo, EA., Pyarajan, S., Gagnon, DR., Tsao, PS., Muralidhar, S., Edwards, TL., Damrauer, SM., Joseph, J., Pennells, L., Wilson, PWF., Harrison, S., Gaziano, TA., Inouye, M., Baigent, C., Casas, JP., Langenberg, C., Wareham, N., Riboli, E., Gaziano, JM., Danesh, J., Hung, AM., Butterworth, AS., Wood, AM., Di Angelantonio, E. and Emerging Risk Factors Collaboration/EPIC-CVD/Million Veteran Program, , 2022. Mild-to-Moderate Kidney Dysfunction and Cardiovascular Disease: Observational and Mendelian Randomization Analyses. Circulation, v. 146
    Doi: http://doi.org/10.1161/CIRCULATIONAHA.122.060700
  • Coscia, C., Gill, D., Benítez, R., Pérez, T., Malats, N. and Burgess, S., 2022. Avoiding bias in Mendelian randomization when stratifying on a collider European Journal of Epidemiology,
    Doi: http://doi.org/10.1101/2021.08.17.21262178
  • Liyanage, JSS., Estepp, JH., Srivastava, K., Rashkin, SR., Sheehan, VA., Hankins, JS., Takemoto, CM., Li, Y., Cui, Y., Mori, M., Burgess, S., DeBaun, MR. and Kang, G., 2022. A Versatile and Efficient Novel Approach for Mendelian Randomization Analysis with Application to Assess the Causal Effect of Fetal Hemoglobin on Anemia in Sickle Cell Anemia Mathematics, v. 10
    Doi: http://doi.org/10.3390/math10203743
  • Moksnes, MR., Graham, SE., Wu, K-H., Hansen, AF., Gagliano Taliun, SA., Zhou, W., Thorstensen, K., Fritsche, LG., Gill, D., Mason, A., Cucca, F., Schlessinger, D., Abecasis, GR., Burgess, S., Åsvold, BO., Nielsen, JB., Hveem, K., Willer, CJ. and Brumpton, BM., 2022. Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT Communications Biology, v. 5
    Doi: http://doi.org/10.1038/s42003-022-03529-z
  • Burgess, S. and Butterworth, AS., 2022. Dose-response relationships for vitamin D and all-cause mortality - Authors' reply. Lancet Diabetes Endocrinol, v. 10
    Doi: http://doi.org/10.1016/S2213-8587(22)00015-8
  • Soremekun, O., Slob, EAW., Burgess, S., Romuald Boua, P., Fatumo, S. and Gill, D., 2022. Genetically Predicted Lipid Traits, Diabetes Liability, and Carotid Intima-Media Thickness in African Ancestry Individuals: A Mendelian Randomization Study. Circ Genom Precis Med, v. 15
    Doi: 10.1161/CIRCGEN.122.003910
  • Yuan, S., Wang, L., Sun, J., Yu, L., Zhou, X., Yang, J., Zhu, Y., Gill, D., Burgess, S., Denny, JC., Larsson, SC., Theodoratou, E. and Li, X., 2022. Genetically predicted sex hormone levels and health outcomes: phenome-wide Mendelian randomization investigation. Int J Epidemiol, v. 51
    Doi: http://doi.org/10.1093/ije/dyac036
  • Simons, PIHG., Cornelissen, MEB., Valkenburg, O., Onland-Moret, NC., van der Schouw, YT., Stehouwer, CDA., Burgess, S. and Brouwers, MCGJ., 2022. Causal relationship between polycystic ovary syndrome and coronary artery disease: A Mendelian randomisation study. Clin Endocrinol (Oxf), v. 96
    Doi: http://doi.org/10.1111/cen.14593
  • Zuber, V., Grinberg, NF., Gill, D., Manipur, I., Slob, EAW., Patel, A., Wallace, C. and Burgess, S., 2022. Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches. American Journal of Human Genetics, v. 109
    Doi: 10.1016/j.ajhg.2022.04.001
  • Seyedsalehi, A., Warrier, V., Bethlehem, R., Perry, B., Burgess, S. and Murray, G., 2022. Educational attainment, structural brain reserve, and Alzheimer’s disease: a Mendelian randomization analysis
    Doi: http://doi.org/10.1101/2022.03.19.22272444
  • Dam, V., Onland-Moret, NC., Burgess, S., Chirlaque, M-D., Peters, SAE., Schuit, E., Tikk, K., Weiderpass, E., Oliver-Williams, C., Wood, AM., Tjønneland, A., Dahm, CC., Overvad, K., Boutron-Ruault, M-C., Schulze, MB., Trichopoulou, A., Ferrari, P., Masala, G., Krogh, V., Tumino, R., Matullo, G., Panico, S., Boer, JMA., Verschuren, WMM., Waaseth, M., Sánchez Pérez, MJ., Amiano, P., Imaz, L., Moreno-Iribas, C., Melander, O., Harlid, S., Nordendahl, M., Wennberg, P., Key, TJ., Riboli, E., Santiuste, C., Kaaks, R., Katzke, V., Langenberg, C., Wareham, NJ., Schunkert, H., Erdmann, J., Willenborg, C., Hengstenberg, C., Kleber, ME., Delgado, G., März, W., Kanoni, S., Dedoussis, G., Deloukas, P., Nikpay, M., McPherson, R., Scholz, M., Teren, A., Butterworth, AS. and van der Schouw, YT., 2022. Genetically determined reproductive aging and coronary heart disease: a bidirectional two-sample Mendelian Randomization. J Clin Endocrinol Metab, v. 107
    Doi: 10.1210/clinem/dgac171
  • Denault, WRP., Bohlin, J., Page, CM., Burgess, S. and Jugessur, A., 2022. Cross-fitted instrument: A blueprint for one-sample Mendelian randomization. PLoS Comput Biol, v. 18
    Doi: http://doi.org/10.1371/journal.pcbi.1010268
  • Rajasundaram, S., Burgess, S. and Gill, D., 2022. Treatment of severe covid-19 with interleukin 6 receptor inhibition BMJ Medicine, v. 1
    Doi: http://doi.org/10.1136/bmjmed-2022-000144
  • Kar, SP., Quiros, PM., Gu, M., Jiang, T., Mitchell, J., Langdon, R., Iyer, V., Barcena, C., Vijayabaskar, MS., Fabre, MA., Carter, P., Petrovski, S., Burgess, S. and Vassiliou, GS., 2022. Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis. Nat Genet, v. 54
    Doi: http://doi.org/10.1038/s41588-022-01121-z
  • Burgess, S. and Gill, D., 2022. Corrigendum to: Genetic evidence for vitamin D and cardiovascular disease: choice of variants is critical. Eur Heart J,
    Doi: http://doi.org/10.1093/eurheartj/ehac070
  • Grant, A., Gill, D., Kirk, P. and Burgess, S., 2022. Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity PLoS Genetics,
    Doi: http://doi.org/10.1371/journal.pgen.1009975
  • Topiwala, A., Wang, C., Ebmeier, K., Burgess, S., Bell, S., Levey, D., Zhou, H., Mccracken, C., Roca-Fernandez, A., Petersen, S., Raman, B., Husain, M., Gelernter, J., Miller, K., Smith, S. and Nichols, T., 2022. Impact of moderate alcohol consumption on brain iron and cognition: observational and genetic analyses PLoS Medicine,
    Doi: http://doi.org/10.1101/2022.02.07.22270583
  • Topiwala, A., Wang, C., Ebmeier, KP., Burgess, S., Bell, S., Levey, DF., Zhou, H., McCracken, C., Roca-Fernández, A., Petersen, SE., Raman, B., Husain, M., Gelernter, J., Miller, KL., Smith, SM. and Nichols, TE., 2022. Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses
    Doi: http://doi.org/10.1371/journal.pmed.1004039
  • van de Luitgaarden, IAT., van Oort, S., Bouman, EJ., Schoonmade, LJ., Schrieks, IC., Grobbee, DE., van der Schouw, YT., Larsson, SC., Burgess, S., van Ballegooijen, AJ., Onland-Moret, NC. and Beulens, JWJ., 2022. Alcohol consumption in relation to cardiovascular diseases and mortality: a systematic review of Mendelian randomization studies. Eur J Epidemiol, v. 37
    Doi: http://doi.org/10.1007/s10654-021-00799-5
  • Ardissino, M., Reddy, RK., Slob, EAW., Patel, KHK., Ryan, DK., Gill, D. and Ng, FS., 2022. Sleep Disordered Breathing, Obesity and Atrial Fibrillation: A Mendelian Randomisation Study. Genes (Basel), v. 13
    Doi: http://doi.org/10.3390/genes13010104
  • Grant, A., Kirk, P. and Burgess, S., 2022. Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity PLoS Genetics,
  • 2021 (Accepted for publication)

  • Burgess, S., 2021 (Accepted for publication). The causal effects of serum lipids and apolipoproteins on kidney function: multivariable and bidirectional Mendelian randomization analyses International Journal of Epidemiology,
  • Burgess, S., 2021 (Accepted for publication). Reciprocal interaction between depression and pain – results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis Pain,
  • Burgess, S., 2021 (Accepted for publication). Additive effects of genetic IL-6 signaling downregulation and LDL-cholesterol lowering on cardiovascular disease: a 2x2 factorial Mendelian randomization analysis Journal of the American Heart Association,
  • Burgess, S., 2021 (Accepted for publication). The relationship between blood pressure and incident cardiovascular disease: linear and non-linear Mendelian randomization analyses Hypertension,
  • Burgess, S., 2021 (Accepted for publication). Thyroid function and mood disorders: a Mendelian Randomization study Thyroid,
  • Hernáez, Á., Rogne, T., Skåra, KH., Håberg, SE., Page, CM., Fraser, A., Burgess, S., Lawlor, DA. and Magnus, MC., 2021 (Accepted for publication). Body mass index and subfertility: multivariable regression and Mendelian randomization analyses in the Norwegian Mother, Father and Child Cohort Study. Human Reproduction,
    Doi: http://doi.org/10.1093/humrep/deab224
  • Burgess, S. and Mason, A., 2021 (Accepted for publication). Genetically proxied inhibition of coagulation factors and risk of cardiovascular disease: a Mendelian randomization study Journal of the American Heart Association,
  • Khandaker, G., Jones, PB., Ye, Z. and Burgess, S., 2021 (Accepted for publication). Association of Inflammation with Depression and Anxiety: Evidence for Symptom-Specificity and Potential Causality from UK Biobank and NESDA Cohorts Molecular Psychiatry,
  • Burgess, S., 2021 (Accepted for publication). Genetic evidence for repurposing of glucagon-like peptide-1 receptor agonists to prevent heart failure Journal of the American Heart Association,
  • Ruth, KS., Day, FR., Hussain, J., Martínez-Marchal, A., Stankovic, S., Langenberg, C., Luan, J., Wareham, N., Burgess, S., Easton, D., Ong, KK., Hoffman, ER., Murray, A., Roig, I. and Perry, J., 2021 (Accepted for publication). Genetic insights into biological mechanisms governing human ovarian ageing Nature,
  • Burgess, S., 2021 (Accepted for publication). Estimating dose-response relationships for vitamin D with coronary heart disease, stroke, and all-cause mortality: observational and Mendelian randomization analyses The Lancet Diabetes and Endocrinology,
    Doi: http://doi.org/10.1016/S2213-8587(21)00263-1
  • Burgess, S., 2021 (Accepted for publication). Urate, blood pressure and cardiovascular disease: evidence from Mendelian randomization and meta-analysis of clinical trials Hypertension,
  • Burgess, S. and Zuber, V., 2021 (Accepted for publication). Risk factors mediating the effect of body-mass index and waist-to-hip 2 ratio on cardiovascular outcomes: Mendelian randomization analysis International Journal of Obesity,
  • Khandaker, G., Jones, P., Burgess, S. and Ye, Z., 2021 (Accepted for publication). Role of Inflammation in Depression and Anxiety: Tests for Disorder Specificity, Linearity and Potential Causality of Association in the UK Biobank EClinicalMedicine,
  • Burgess, S., 2021 (Accepted for publication). Thyroid function and the risk of Alzheimer’s disease: A Mendelian Randomisation study Thyroid,
  • Burgess, S., 2021 (Accepted for publication). Bayesian variable selection with a pleiotropic loss function in Mendelian randomization Statistics in Medicine,
  • Burgess, S., 2021 (Accepted for publication). Association of Smoking, Alcohol Consumption, Blood Pressure, Body Mass Index, and Glycemic Risk Factors With Age-Related Macular Degeneration: A Mendelian Randomization Study JAMA Ophthalmology,
    Doi: http://doi.org/10.1001/jamaophthalmol.2021.4601
  • Burgess, S. and Mason, A., 2021 (Accepted for publication). Genetic liability to insomnia in relation to cardiovascular diseases: a Mendelian randomisation study European Journal of Epidemiology,
  • Levin, MG., Zuber, V., Walker, VM., Klarin, D., Lynch, J., Malik, R., Aday, AW., Bottolo, L., Pradhan, AD., Dichgans, M., Chang, K-M., Rader, DJ., Tsao, PS., Voight, BF., Gill, D., Burgess, S., Damrauer, SM. and VA Million Veteran Program, , 2021 (Accepted for publication). Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease. Circulation,
    Doi: http://doi.org/10.1161/CIRCULATIONAHA.121.053797
  • Burgess, S., 2021 (Accepted for publication). Selenium and cancer risk: wide-angled Mendelian randomization analysis International Journal of Cancer,
  • Burgess, S., 2021 (Accepted for publication). Assessing the role of cortisol in cancer: a wide-ranged Mendelian randomisation study British Journal of Cancer,
  • Gill, D. and Burgess, S., 2021 (Accepted for publication). Distinguishing causation from genetic correlation in a Mendelian randomisation framework European Respiratory Journal, v. 58
    Doi: http://doi.org/10.1183/13993003.01346-2021
  • Burgess, S., 2021 (Accepted for publication). Coffee consumption and cardiovascular disease: a Mendelian randomization study Nutrients,
  • Burgess, S., 2021 (Accepted for publication). Genetic evidence for vitamin D and cardiovascular disease: choice of variants is critical European Heart Journal,
  • Zheng, J., Zhang, Y., Rasheed, H., Walker, V., Sugawara, Y., Li, J., Leng, Y., Elsworth, B., Wootton, RE., Fang, S., Yang, Q., Burgess, S., Haycock, PC., Borges, MC., Cho, Y., Carnegie, R., Howell, A., Robinson, J., Thomas, LF., Brumpton, BM., Hveem, K., Hallan, S., Franceschini, N., Morris, AP., Köttgen, A., Pattaro, C., Wuttke, M., Yamamoto, M., Kashihara, N., Akiyama, M., Kanai, M., Matsuda, K., Kamatani, Y., Okada, Y., Walters, R., Millwood, IY., Chen, Z., Davey Smith, G., Barbour, S., Yu, C., Åsvold, BO., Zhang, H. and Gaunt, TR., 2021 (Accepted for publication). Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease. International Journal of Epidemiology, v. 50
    Doi: 10.1093/ije/dyab203
  • Gaziano, L., Giambartolomei, C., Pereira, A., Langenberg, C., Pietzner, M., Allara, E., Surendran, P., Burgess, S., Zhao, JH., Peters, JE., Prins, BP., Di Angelantonio, E., Danesh, J., Butterworth, AS. and Casas, JP., 2021 (Accepted for publication). Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19 Nature Medicine,
  • Perry, B., Upthegrove, R., Kappelmann, N., Jones, P., Burgess, S. and Khandaker, G., 2021 (Accepted for publication). Associations of Immunological Proteins/Traits with Schizophrenia, Major Depression and Bipolar Disorder: A Bi-Directional Two-Sample Mendelian Randomization Study Brain, Behavior, and Immunity,
  • Burgess, S., 2021 (Accepted for publication). Serum Estradiol and 20 Site-Specific Cancers in Women: Mendelian Randomization Study Journal of Clinical Endocrinology and Metabolism,
  • Slob, EAW. and Rietveld, CA., 2021 (Accepted for publication). Genetic predispositions moderate the effectiveness of tobacco excise taxes. PLoS One, v. 16
    Doi: http://doi.org/10.1371/journal.pone.0259210
  • Burgess, S., 2021 (Accepted for publication). Genetically Predicted Circulating B Vitamins in Relation to Digestive System Cancers British Journal of Cancer,
  • Burgess, S. and Grant, A., 2021 (Accepted for publication). Pleiotropy robust methods for multivariable Mendelian randomization Statistics in Medicine,
  • Burgess, S., 2021 (Accepted for publication). Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke Journal of the American Heart Association,
  • Perry, B., Bowker, N., Burgess, S., Wareham, N., Upthegrove, R., Jones, P., Langenberg, C. and Khandaker, G., 2021 (Accepted for publication). Evidence for Shared Genetic Aetiology between Schizophrenia, Cardiometabolic and Inflammation Related Traits: Genetic Correlation and Colocalization Analyses Schizophrenia Bulletin Open,
    Doi: 10.1093/schizbullopen/sgac001
  • Grant, A., 2021 (Accepted for publication). Integration of innovative statistical methods using genetic data provide pharmacological insight and facilitate drug development British Journal of Clinical Pharmacology,
  • Burgess, S., 2021 (Accepted for publication). Genome-Wide Association Study Identifies LINC01184/SLC12A2 As Novel Risk Locus for Skin and Soft Tissue Infections Journal of Investigative Dermatology,
  • Burgess, S., 2021 (Accepted for publication). Metabolic traits and stroke risk in individuals of African ancestry: Mendelian randomization analysis Stroke,
  • Burgess, S., 2021 (Accepted for publication). Obesity and kidney function: a two-sample Mendelian randomization study Clinical Chemistry,
  • Yang, Z., Edwards, D., Burgess, S., Brayne, C. and Mant, J., 2021 (Accepted for publication). Association of major blood lipids with post-stroke dementia: a community-based cohort study. European Journal of Neurology,
    Doi: http://doi.org/10.1111/ene.15219
  • Burgess, S., 2021 (Accepted for publication). Homocysteine, B vitamins and Cardiovascular Disease: A Mendelian Randomization Study BMC Medicine,
  • Liu, B., Mason, AM., Sun, L., Di Angelantonio, E., Gill, D. and Burgess, S., 2021 (Accepted for publication). Genetically Predicted Type 2 Diabetes Mellitus Liability, Glycated Hemoglobin and Cardiovascular Diseases: A Wide-Angled Mendelian Randomization Study Genes, v. 12
    Doi: http://doi.org/10.3390/genes12101644
  • Burgess, S., 2021 (Accepted for publication). Genetically predicted neutrophil-to-lymphocyte ratio and coronary artery disease: evidence from Mendelian randomization. Circulation: Genomic and Precision Medicine,
    Doi: 10.1161/CIRCGEN.121.003553
  • Burgess, S., 2021 (Accepted for publication). Are Mendelian randomization investigations immune from bias due to reverse causation? European Journal of Epidemiology,
  • 2021

  • Verhoef, E., Grove, J., Shapland, CY., Demontis, D., Burgess, S., Rai, D., Borglum, A. and St Pourcain, B., 2021. Polygenic pleiotropy within ASD and ADHD genetic architectures: Shared risk alleles with discordant polygenic effects European Neuropsychopharmacology, v. 51
    Doi: http://doi.org/10.1016/j.euroneuro.2021.07.118
  • Burgess, S., Davey Smith, G., Davies, NM., Dudbridge, F., Gill, D., Glymour, MM., Hartwig, FP., Holmes, MV., Minelli, C., Relton, CL. and Theodoratou, E., 2021. Guidelines for performing Mendelian randomization investigations. Wellcome open research, v. 4
    Doi: http://doi.org/10.12688/wellcomeopenres.15555.1
  • Ellervik, C., Mora, S., Kuś, A., Åsvold, B., Marouli, E., Deloukas, P., Sterenborg, RBTM., Teumer, A., Burgess, S., Sabater-Lleal, M., Huffman, J., Johnson, AD., Trégouet, D-A., Smith, NL., Medici, M., DeVries, PS., Chasman, DI. and Kjaergaard, AD., 2021. Effects of Thyroid Function on Hemostasis, Coagulation, and Fibrinolysis: A Mendelian Randomization Study. Thyroid, v. 31
    Doi: 10.1089/thy.2021.0055
  • Gill, D., Georgakis, M., Walker, V., Schmidt, F., Gkatzionis, A., Freitag, D., Finan, C., Hingorani, A., Howson, JMM., Burgess, S., Swerdlow, D., Davey Smith, G., Holmes, M., Dichgans, M., Scott, R., Zheng, J., Psaty, B. and Davies, N., 2021. Mendelian randomization for studying the effects of perturbing drug targets Wellcome Open Research,
    Doi: http://doi.org/10.12688/wellcomeopenres.16544.2
  • Zuber, V., Gill, D., Ala-Korpela, M., Langenberg, C., Butterworth, A., Bottolo, L. and Burgess, S., 2021. High-throughput multivariable Mendelian randomization analysis prioritizes apolipoprotein B as key lipid risk factor for coronary artery disease International Journal of Epidemiology, v. 50
    Doi: http://doi.org/10.1093/ije/dyaa216
  • Chen, L., Peters, J., Prins, B., Persyn, E., Traylor, M., Surendran, P., Karthikeyan, S., Yonova-Doing, E., Di Angelantonio, E., Roberts, D., Watkins, N., Ouwehand, W., Danesh, J., Lewis, C., Bronson, P., Markus, H., Burgess, S., Butterworth, A. and Howson, J., 2021. Genetically predicted levels of the human plasma proteome and risk of stroke: a Mendelian Randomization study
    Doi: http://doi.org/10.1101/2021.10.22.21265375
  • Higgins, H., Mason, A., Larsson, S., Gill, D., Langenberg, C. and Burgess, S., 2021. Estimating the Population Benefits of Blood Pressure Lowering: A Wide-Angled Mendelian Randomization Study in UK Biobank Journal of the American Heart Association,
    Doi: http://doi.org/10.1101/2021.02.02.21250515
  • Ritchie, SC., Lambert, SA., Arnold, M., Teo, SM., Lim, S., Scepanovic, P., Marten, J., Zahid, S., Chaffin, M., Liu, Y., Abraham, G., Ouwehand, WH., Roberts, DJ., Watkins, NA., Drew, BG., Calkin, AC., Di Angelantonio, E., Soranzo, N., Burgess, S., Chapman, M., Kathiresan, S., Khera, AV., Danesh, J., Butterworth, AS. and Inouye, M., 2021. Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases. Nat Metab, v. 3
    Doi: http://doi.org/10.1038/s42255-021-00478-5
  • Burgess, S., O'Donnell, CJ. and Gill, D., 2021. Expressing Results From a Mendelian Randomization Analysis: Separating Results From Inferences. JAMA Cardiol, v. 6
    Doi: http://doi.org/10.1001/jamacardio.2020.4317
  • Milaneschi, Y., Kappelmann, N., Ye, Z., Lamers, F., Moser, S., Jones, P., Burgess, S., Penninx, B. and Khandaker, G., 2021. Association of Inflammation with Depression and Anxiety: Evidence for Symptom-Specificity and Potential Causality from UK Biobank and NESDA Cohorts Molecular Psychiatry,
    Doi: http://doi.org/10.1101/2021.01.08.20248710
  • Moksnes, M., Hansen, AF., Graham, S., Gagliano Taliun, S., Wu, K-H., Zhou, W., Thorstensen, K., Fritsche, L., Gill, D., Mason, A., Cucca, F., Schlessinger, D., Abecasis, G., Burgess, S., Åsvold, BO., Nielsen, J., Hveem, K., Willer, C. and Brumpton, B., 2021. Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT
    Doi: http://doi.org/10.1101/2021.09.20.21262960
  • Verhoef, E., Grove, J., Shapland, CY., Demontis, D., Burgess, S., Rai, D., Børglum, AD. and St Pourcain, B., 2021. Discordant associations of educational attainment with ASD and ADHD implicate a polygenic form of pleiotropy. Nat Commun, v. 12
    Doi: http://doi.org/10.1038/s41467-021-26755-1
  • Gill, D., Georgakis, MK., Walker, VM., Schmidt, AF., Gkatzionis, A., Freitag, DF., Finan, C., Hingorani, AD., Howson, JMM., Burgess, S., Swerdlow, DI., Smith, GD., Holmes, MV., Dichgans, M., Zheng, J., Psaty, BM. and Davies, NM., 2021. Mendelian randomization for studying the effects of perturbing drug targets Wellcome Open Research, v. 6
    Doi: http://doi.org/10.12688/WELLCOMEOPENRES.16544.1
  • Higgins, H., Mason, AM., Larsson, SC., Gill, D., Langenberg, C. and Burgess, S., 2021. Estimating the Population Benefits of Blood Pressure Lowering: A Wide-Angled Mendelian Randomization Study in UK Biobank. J Am Heart Assoc,
    Doi: http://doi.org/10.1161/JAHA.121.021098
  • Khandaker, GM., Zuber, V., Rees, JMB., Carvalho, L., Mason, AM., Foley, CN., Gkatzionis, A., Jones, PB. and Burgess, S., 2021. Correction: Shared mechanisms between coronary heart disease and depression: findings from a large UK general population-based cohort. Mol Psychiatry, v. 26
    Doi: http://doi.org/10.1038/s41380-020-0857-7
  • Zhang, X., Theodoratou, E., Li, X., Farrington, SM., Law, PJ., Broderick, P., Walker, M., Klimentidis, YC., Rees, JMB., Houlston, RS., Tomlinson, IPM., Burgess, S., Campbell, H., Dunlop, MG. and Timofeeva, M., 2021. Genetically predicted physical activity levels are associated with lower colorectal cancer risk: a Mendelian randomisation study. Br J Cancer, v. 124
    Doi: http://doi.org/10.1038/s41416-020-01236-2
  • Hernáez, Á., Rogne, T., Skåra, K., Håberg, S., Page, C., Fraser, A., Burgess, S., Lawlor, D. and Magnus, MC., 2021. Body mass index and subfertility: multivariable regression and Mendelian randomization analyses in the Norwegian Mother, Father and Child Cohort Study Human Reproduction,
    Doi: http://doi.org/10.1101/2021.06.21.21259264
  • Haycock, P., Borges, MC., Burrows, K., Lemaitre, R., Harrison, S., Burgess, S., Chang, X., Westra, J., Khankari, N., Tsilidis, K., Gaunt, T., Hemani, G., Zheng, J., Truong, T., OMara, T., Spurdle, A., Law, M., Slager, S., Birmann, B., Hosnijeh, FS., Mariosa, D., Amos, C., Hung, R., Zheng, W., Gunter, M., Smith, GD., Relton, C., Martin, R., ACCC, , CCFR-CORECT-GECCO, , EPITHYR, , InterLymph, , ECAC, , ILCCO, , KIDRISK, , PRACTICAL, , PanScan, and PanC4, , 2021. Design and quality control of large-scale two-sample Mendelian randomisation studies
    Doi: http://doi.org/10.1101/2021.07.30.21260578
  • Larsson, SC., Lee, W-H., Burgess, S. and Allara, E., 2021. Plasma Cortisol and Risk of Atrial Fibrillation: A Mendelian Randomization Study. J Clin Endocrinol Metab, v. 106
    Doi: 10.1210/clinem/dgab219
  • Gill, D., Georgakis, MK., Walker, VM., Schmidt, AF., Gkatzionis, A., Freitag, DF., Finan, C., Hingorani, AD., Howson, JMM., Burgess, S., Swerdlow, DI., Davey Smith, G., Holmes, MV., Dichgans, M., Scott, RA., Zheng, J., Psaty, BM. and Davies, NM., 2021. Mendelian randomization for studying the effects of perturbing drug targets. Wellcome Open Res, v. 6
    Doi: http://doi.org/10.12688/wellcomeopenres.16544.2
  • Larsson, SC. and Burgess, S., 2021. Causal role of high body mass index in multiple chronic diseases: a systematic review and meta-analysis of Mendelian randomization studies BMC Medicine, v. 19
    Doi: http://doi.org/10.1186/s12916-021-02188-x
  • Lotta, LA., Pietzner, M., Stewart, ID., Wittemans, LBL., Li, C., Bonelli, R., Raffler, J., Biggs, EK., Oliver-Williams, C., Auyeung, VPW., Luan, J., Wheeler, E., Paige, E., Surendran, P., Michelotti, GA., Scott, RA., Burgess, S., Zuber, V., Sanderson, E., Koulman, A., Imamura, F., Forouhi, NG., Khaw, K-T., MacTel Consortium, , Griffin, JL., Wood, AM., Kastenmüller, G., Danesh, J., Butterworth, AS., Gribble, FM., Reimann, F., Bahlo, M., Fauman, E., Wareham, NJ. and Langenberg, C., 2021. A cross-platform approach identifies genetic regulators of human metabolism and health. Nature Genetics, v. 53
    Doi: http://doi.org/10.1038/s41588-020-00751-5
  • Vithayathil, M., Carter, P., Kar, S., Mason, AM., Burgess, S. and Larsson, SC., 2021. Body size and composition and risk of site-specific cancers in the UK Biobank and large international consortia: A mendelian randomisation study. PLoS Med, v. 18
    Doi: http://doi.org/10.1371/journal.pmed.1003706
  • de Vlaming, R., Slob, EAW., Jansen, PR., Dagher, A., Koellinger, PD., Groenen, PJF. and Rietveld, CA., 2021. Multivariate analysis reveals shared genetic architecture of brain morphology and human behavior Communications Biology, v. 4
    Doi: http://doi.org/10.1038/s42003-021-02712-y
  • Kjaergaard, AD., Marouli, E., Papadopoulou, A., Deloukas, P., Kuś, A., Sterenborg, R., Teumer, A., Burgess, S., Åsvold, BO., Chasman, DI., Medici, M. and Ellervik, C., 2021. Thyroid function, sex hormones and sexual function: a Mendelian randomization study. Eur J Epidemiol, v. 36
    Doi: http://doi.org/10.1007/s10654-021-00721-z
  • Seyedsalehi, A., Bethlehem, R., Warrier, V., Perry, B., Burgess, S. and Murray, G., 2021. Educational attainment, brain structural phenotypes, and Alzheimer's Dementia: Insights from Mendelian Randomization European Neuropsychopharmacology, v. 51
    Doi: http://doi.org/10.1016/j.euroneuro.2021.08.197
  • Fatumo, S., Chikowore, T., Kalyesubula, R., Nsubuga, RN., Asiki, G., Nashiru, O., Seeley, J., Crampin, AC., Nitsch, D., Smeeth, L., Kaleebu, P., Burgess, S., Nyirenda, M., Franceschini, N., Morris, AP., Tomlinson, L. and Newton, R., 2021. Discovery and fine-mapping of kidney function loci in first genome-wide association study in Africans. Hum Mol Genet, v. 30
    Doi: http://doi.org/10.1093/hmg/ddab088
  • Bowker, N., Hansford, R., Burgess, S., Foley, CN., Auyeung, VPW., Erzurumluoglu, AM., Stewart, ID., Wheeler, E., Pietzner, M., Gribble, F., Reimann, F., Bhatnagar, P., Coghlan, MP., Wareham, NJ. and Langenberg, C., 2021. Genetically Predicted Glucose-Dependent Insulinotropic Polypeptide (GIP) Levels and Cardiovascular Disease Risk Are Driven by Distinct Causal Variants in the GIPR Region. Diabetes, v. 70
    Doi: http://doi.org/10.2337/db21-0103
  • Vissers, LET., Sluijs, I., Burgess, S., Forouhi, NG., Freisling, H., Imamura, F., Nilsson, TK., Renström, F., Weiderpass, E., Aleksandrova, K., Dahm, CC., Perez-Cornago, A., Schulze, MB., Tong, TYN., Aune, D., Bonet, C., Boer, JMA., Boeing, H., Chirlaque, MD., Conchi, MI., Imaz, L., Jäger, S., Krogh, V., Kyrø, C., Masala, G., Melander, O., Overvad, K., Panico, S., Sánches, MJ., Sonestedt, E., Tjønneland, A., Tzoulaki, I., Verschuren, WMM., Riboli, E., Wareham, NJ., Danesh, J., Butterworth, AS. and van der Schouw, YT., 2021. Milk intake and incident stroke and coronary heart disease in populations of European descent: A Mendelian Randomization study. The British Journal of Nutrition: an international journal of nutritional science,
    Doi: http://doi.org/10.1017/S0007114521004244
  • 2020 (Accepted for publication)

  • Burgess, S., 2020 (Accepted for publication). Genetically proxied interleukin-6 receptor inhibition: opposing associations with COVID-19 and pneumonia European Respiratory Journal,
  • Surendran, P., Feofanova, EV., Lahrouchi, N., Karthikeyan, S., Chen, L., Prins, BP., Stewart, ID., Braithwaite, VS., Foley, CN., Lotta, LA., Luan, J., Paul, DS., Staley, JR., Willems, SM., Young, R., Zhao, JH., Burgess, S., Kamat, M., Peters, J., Yonova, E., Chowdhury, R., Di Angelantonio, E., Wareham, NJ., Langenberg, C., Butterworth, A., Danesh, J., Saleheen, D. and Howson, JMM., 2020 (Accepted for publication). Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals Nature Genetics,
  • Burgess, S., 2020 (Accepted for publication). Polygenic modelling of treatment effect heterogeneity Genetic Epidemiology,
  • Burgess, S. and Mason, A., 2020 (Accepted for publication). Genetically proxied milk consumption and risk of colorectal, bladder, breast and prostate cancer: a two-sample Mendelian randomization study BMC Medicine,
  • Larsson, SC., Carter, P., Vithayathil, M., Kar, S., Mason, AM. and Burgess, S., 2020 (Accepted for publication). Insulin-like growth factor-1 and site-specific cancers: A Mendelian randomization study. Cancer Medicine, v. 9
  • Grant, AJ. and Burgess, S., 2020 (Accepted for publication). An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting Biostatistics,
    Doi: http://doi.org/10.1093/biostatistics/kxaa045
  • Burgess, S. and Mason, A., 2020 (Accepted for publication). Is Type 2 Diabetes Mellitus Causally Associated with Cancer Risk? Evidence from a Two- Sample Mendelian Randomisation Study Diabetes,
  • Burgess, S. and Mason, A., 2020 (Accepted for publication). Sleep duration and risk of overall and 22 site-specific cancers: a Mendelian randomization study International Journal of Cancer,
  • Burgess, S., Mason, A. and liu, B., 2020 (Accepted for publication). Dose-response relationship between genetically-proxied average blood glucose levels and incident coronary heart disease in individuals without diabetes mellitus Diabetologia,
  • Burgess, S., Davey Smith, G., Davies, N., Dudbridge, F., Gill, D., Glymour, M., Hartwig, F., Holmes, M., Minelli, C., Relton, C. and Theodoratou, E., 2020 (Accepted for publication). Guidelines for performing Mendelian randomization investigations Wellcome Open Research, v. 4
    Doi: http://doi.org/10.12688/wellcomeopenres.15555.2
  • Stacey, D., Chen, L., Howson, J., Mason, AM., Burgess, S., MacDonald, S., Langdown, J., McKinney, H., Downes, K., Farahi, N., Peters, JE., Basu, S., Pankow, JS., Pankratz, N., Tang, W., Sabater-Lleal, M., de Vries, PS., Smith, NL., Gelinas, AD., Schneider, DJ., Janjic, N., Summers, C., Chilvers, ER., Danesh, J. and Paul, DS., 2020 (Accepted for publication). Elucidating mechanisms of genetic cross-disease associations: an integrative approach implicates protein C as a causal pathway in arterial and venous diseases Medrixv,
    Doi: http://doi.org/10.1101/2020.03.16.20036822
  • Lotta, LA., Pietzner, M., Stewart, ID., Wittemans, LBL., Li, C., Bonelli, R., Raffler, J., Biggs, EK., Oliver-Williams, C., Auyeung, VPW., Luan, J., Wheeler, E., Paige, E., Surendran, P., Michelotti, GA., Scott, RA., Burgess, S., Zuber, V., Sanderson, E., Koulman, A., Imamura, F., Forouhi, NG., Khaw, K-T., Griffin, JL., Wood, AM., Kastenmüller, G., Danesh, J., Butterworth, A., Gribble, FM., Reimann, F., Bahlo, M., Fauman, E., Wareham, NJ. and Langenberg, C., 2020 (Accepted for publication). Cross-platform genetic discovery of small molecule products of metabolism and application to clinical outcomes Nature Genetics,
  • Broadbent, JR., Foley, CN., Grant, AJ., Mason, AM., Staley, JR. and Burgess, S., 2020 (Accepted for publication). MendelianRandomization v0.5.0: updates to an R package for performing Mendelian randomization analyses using summarized data Wellcome Open Research, v. 5
    Doi: http://doi.org/10.12688/wellcomeopenres.16374.2
  • Burgess, S., 2020 (Accepted for publication). The impact of genetically predicted red blood cell traits on venous thromboembolism, multivariable Mendelian randomization study using UK Biobank Journal of the American Heart Association,
  • Horsfall, LJ., Burgess, S., Hall, I. and Nazareth, I., 2020 (Accepted for publication). Genetically raised serum bilirubin levels and lung cancer: a cohort study and Mendelian randomisation using UK Biobank Thorax, v. 75
    Doi: 10.1136/thoraxjnl-2020-214756
  • Sun, L., Pennells, L., Kaptoge, S., Nelson, C., Ritchie, S., Abraham, G., Arnold, M., Bell, S., Bolton, T., Burgess, S., Dudbridge, F., Guo, Q., Sofianopoulou, E., Stevens, D., Thompson, JR., Butterworth, A., Danesh, J., Samani, N., Inouye, M. and Di Angelantonio, E., 2020 (Accepted for publication). Polygenic risk scores in cardiovascular risk prediction: prospective cohort study and modelling analyses PLoS Medicine,
  • Burgess, S. and Mason, A., 2020 (Accepted for publication). Genetic predisposition to smoking in relation to 14 cardiovascular diseases European Heart Journal,
  • Burgess, S., 2020 (Accepted for publication). Genetically predicted midlife blood pressure and coronary artery disease risk: Mendelian randomization analysis Journal of the American Heart Association,
  • Foley, C., Kirk, P., Burgess, S. and Mason, A., 2020 (Accepted for publication). MR-Clust: Clustering of genetic variants in Mendelian randomization with similar causal estimates Bioinformatics, v. 37
  • Warrier, V., Kwong, A., Luo, M., Dalvie, S., Croft, J., Sallis, H., Baldwin, J., Munafo, M., Nievergelt, C., Grant, A., Burgess, S., Moore, T., Barzilay, R., McIntosh, A., Marinus, VI. and Cecil, C., 2020 (Accepted for publication). Gene-environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach The Lancet Psychiatry,
  • Burgess, S. and Mason, A., 2020 (Accepted for publication). Causal associations of thyroid function and dysfunction with overall, breast and thyroid cancer: a two-sample Mendelian randomization study International Journal of Cancer,
  • Zheng, J., Haberland, V., Baird, D., Walker, V., Haycock, P., Hurle, M., Gutteridge, A., Erola, P., Liu, Y., Luo, S., Robinson, J., Richardson, TG., Staley, JR., Elsworth, B., Burgess, S., Sun, BB., Danesh, J., Runz, H., Maranville, JC., Martin, HM., Yarmolinsky, J., Laurin, C., Holmes, MV., Liu, J., Estrada, K., Santos, R., McCarthy, L., Waterworth, D., Nelson, MR., Smith, GD., Butterworth, A., Hemani, G., Scott, RA. and Gaunt, TR., 2020 (Accepted for publication). Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases Nature Genetics,
  • Burgess, S., 2020 (Accepted for publication). High-throughput multivariable Mendelian randomization analysis prioritizes apolipoprotein B as key lipid risk factor for coronary artery disease International Journal of Epidemiology,
  • Foley, CN., Staley, JR., Breen, PG., Sun, BB., Kirk, P., Burgess, S. and Howson, JMM., 2020 (Accepted for publication). A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits Nature Communications,
  • Larsson, SC., Carter, P., Kar, S., Vithayathil, M., Mason, AM., Michaëlsson, K. and Burgess, S., 2020 (Accepted for publication). Smoking, alcohol consumption and cancer: A Mendelian randomisation study PLOS Medicine,
  • Carter, P., Vithayathil, M., Kar, S., Potluri, R., Larsson, SC., Mason, A. and Burgess, S., 2020 (Accepted for publication). Predicting the effect of statins on cancer risk using genetic variants from a Mendelian randomization study in UK Biobank eLife, v. 9
  • Gill, D., Arvanitis, M., Carter, P., Hernández Cordero, AI., Jo, B., Karhunen, V., Larsson, SC., Li, X., Lockhart, SM., Mason, A., Pashos, E., Saha, A., Tan, VY., Zuber, V., Bossé, Y., Fahle, S., Hao, K., Jiang, T., Joubert, P., Lunt, AC., Ouwehand, WH., Roberts, DJ., Timens, W., Van Den Berge, M., Watkins, NA., Battle, A., Butterworth, AS., Danesh, J., Di Angelantonio, E., Engelhardt, BE., Peters, JE., Sin, DD. and Burgess, S., 2020 (Accepted for publication). ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: A Mendelian randomization study: ACE inhibition and ACE2 expression Royal Society Open Science, v. 7
    Doi: http://doi.org/10.1098/rsos.200958
  • Burgess, S., 2020 (Accepted for publication). Cardiometabolic traits, sepsis and severe COVID-19: a Mendelian randomization investigation Circulation,
    Doi: http://doi.org/10.1161/CIRCULATIONAHA.120.050753
  • Burgess, S., 2020 (Accepted for publication). Assessing the protective role of allergic disease in gastrointestinal tract cancers using Mendelian randomization analysis Allergy,
  • Burgess, S., 2020 (Accepted for publication). Use of a genetic variant related to circulating factor Xa levels to proxy the effect of factor Xa inhibition on cardiovascular outcomes Circulation: Genomic and Precision Medicine,
  • Burgess, S., 2020 (Accepted for publication). Cardiovascular risk factors and lifestyle behaviours in relation to longevity: a Mendelian randomization study Journal of Internal Medicine,
  • Perry, B., Burgess, S., Jones, HJ., Zammit, S., Upthegrove, R., Mason, A., Day, FR., Langenberg, C., Wareham, NJ., Jones, P. and Khandaker, G., 2020 (Accepted for publication). The Potential Shared Role of Inflammation in Insulin Resistance and Schizophrenia: A Bi-Directional Two-Sample Mendelian Randomization Study PLoS Medicine,
  • Burgess, S., Carter, P. and Mason, A., 2020 (Accepted for publication). Genetically predicted plasma phospholipid arachidonic acid concentrations and 10 site-specific cancers in UK Biobank and genetic consortia participants: A Mendelian randomization study Clinical Nutrition,
  • Yang, Z., Edwards, D., Burgess, S., Brayne, C. and Mant, J., 2020 (Accepted for publication). Association of prior atherosclerotic cardiovascular disease with dementia after stroke: a retrospective cohort study Journal of Alzheimer's Disease,
  • 2020

  • Surendran, P., Karthikeyan, S., Chen, L., Prins, BP., Stewart, ID., Foley, CN., Lotta, LA., Luan, J., Paul, DS., Staley, J., Willems, SM., Young, R., Zhao, J-H., Burgess, S., Kamat, M., Peters, J., Yonova-Doing, E., Chowdhury, R., Di Angelantonio, E., Wareham, NJ., Langenberg, C., Butterworth, AS., Danesh, J., Saleheen, D. and Howson, JMM., 2020. 87 rare variants associated with blood pressure regulation in meta-analysis of ~1.3 million individuals Nature Genetics, v. 52
    Doi: http://doi.org/10.1038/s41588-020-00713-x
  • Larsson, SC., Carter, P., Kar, S., Vithayathil, M., Mason, AM., Michaëlsson, K. and Burgess, S., 2020. Smoking, alcohol consumption, and cancer: A mendelian randomisation study in UK Biobank and international genetic consortia participants. PLoS Med, v. 17
    Doi: http://doi.org/10.1371/journal.pmed.1003178
  • Williams, DM., Finan, C., Schmidt, AF., Burgess, S. and Hingorani, AD., 2020. Lipid lowering and Alzheimer disease risk: A mendelian randomization study. Ann Neurol, v. 87
    Doi: http://doi.org/10.1002/ana.25642
  • Burgess, S., Ponsford, MJ. and Gill, D., 2020. Are we underestimating seroprevalence of SARS-CoV-2? BMJ, v. 370
    Doi: http://doi.org/10.1136/bmj.m3364
  • Larsson, SC., Burgess, S. and Michaëlsson, K., 2020. IGF-1 and cardiometabolic diseases: a Mendelian randomisation study Diabetologia,
    Doi: http://doi.org/10.1007/s00125-020-05190-9
  • Burgess, S. and Gill, D., 2020. Rising numbers of positive covid-19 tests in the UK. BMJ, v. 370
    Doi: http://doi.org/10.1136/bmj.m3605
  • Slob, EAW. and Burgess, S., 2020. A comparison of robust Mendelian randomization methods using summary data. Genet Epidemiol, v. 44
    Doi: http://doi.org/10.1002/gepi.22295
  • Burgess, S., Smith, D., Kenyon, JC. and Gill, D., 2020. Lightening the viral load to lessen covid-19 severity. BMJ, v. 371
    Doi: http://doi.org/10.1136/bmj.m4763
  • Larsson, SC. and Burgess, S., 2020. Fat mass and fat-free mass in relation to cardiometabolic diseases: a two-sample Mendelian randomization study. J Intern Med, v. 288
    Doi: http://doi.org/10.1111/joim.13078
  • Burgess, S. and Mason, A., 2020. Effects of tumour necrosis factor on cardiovascular disease and cancer: A two-sample Mendelian randomization study EBioMedicine, v. 59
    Doi: http://doi.org/10.1016/j.ebiom.2020.102956
  • Qin, Y., Méric, G., Long, T., Watrous, J., Burgess, S., Havulinna, A., Ritchie, S., Brożyńska, M., Jousilahti, P., Perola, M., Lahti, L., Niiranen, T., Cheng, S., Salomaa, V., Jain, M. and Inouye, M., 2020. Genome-wide association and Mendelian randomization analysis prioritizes bioactive metabolites with putative causal effects on common diseases
    Doi: http://doi.org/10.1101/2020.08.01.20166413
  • Rogne, T., Solligård, E., Burgess, S., Brumpton, BM., Paulsen, J., Prescott, HC., Mohus, RM., Gustad, LT., Mehl, A., Åsvold, BO., DeWan, AT. and Damås, JK., 2020. Body mass index and risk of dying from a bloodstream infection: A Mendelian randomization study. PLoS Med, v. 17
    Doi: http://doi.org/10.1371/journal.pmed.1003413
  • Broadbent, J., Foley, C., Grant, A., Mason, A., Staley, J. and Burgess, S., 2020. MendelianRandomization v0.5.0: updates to an R package for performing Mendelian randomization analyses using summarized data Wellcome Open Research, v. 5
    Doi: 10.12688/wellcomeopenres.16374.2
  • Burgess, S., Foley, C., Allara, E., Staley, J. and Howson, JMM., 2020. A robust and efficient method for Mendelian randomization with hundreds of genetic variants: unravelling mechanisms linking HDL-cholesterol and coronary heart disease Nature Communications,
    Doi: http://doi.org/10.1101/566851
  • Yuan, S., Carter, P., Vithayathil, M., Kar, S., Giovannucci, E., Mason, AM., Burgess, S. and Larsson, SC., 2020. Iron Status and Cancer Risk in UK Biobank: A Two-Sample Mendelian Randomization Study. Nutrients, v. 12
    Doi: http://doi.org/10.3390/nu12020526
  • Burgess, S., Jiang, T., Butterworth, A. and Mason, A., 2020. Lipoprotein(a) in Alzheimer’s, Atherosclerotic, Cerebrovascular, Thrombotic, and Valvular Disease: Mendelian Randomization Investigation Circulation, v. 141
    Doi: http://doi.org/10.1161/CIRCULATIONAHA.120.045826
  • Zuber, V., Colijn, JM., Klaver, C. and Burgess, S., 2020. Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization. Nat Commun, v. 11
    Doi: http://doi.org/10.1038/s41467-019-13870-3
  • Burgess, S. and Mason, A., 2020. Alcohol consumption and cardiovascular disease: A Mendelian randomization study Circulation: Cardiovascular Genetics, v. 13
    Doi: http://doi.org/10.1161/CIRCGEN.119.002814
  • Larsson, SC., Michaëlsson, K. and Burgess, S., 2020. IGF-1 and cardiometabolic diseases: a Mendelian randomisation study. Diabetologia, v. 63
    Doi: http://doi.org/10.1007/s00125-020-05190-9
  • Burgess, S., 2020. Circulating Interleukins in Relation to Coronary Artery Disease, Atrial Fibrillation and Ischemic Stroke: A Two Sample Mendelian Randomization Study International Journal of Cardiology, v. 313
    Doi: 10.1016/j.ijcard.2020.03.053
  • Gaziano, L., Giambartolomei, C., Pereira, A., Gaulton, A., Posner, D., Swanson, S., Ho, Y-L., Iyengar, S., Kosik, N., Vujkovic, M., Gagnon, D., Bento, P., Beltrao, P., Barrio-Hernandez, I., Rönnblom, L., Hagberg, N., Lundtoft, C., Langenberg, C., Pietzner, M., Valentine, D., Allara, E., Surendran, P., Burgess, S., Zhao, JH., Peters, J., Prins, B., Danesh, J., Devineni, P., Shi, Y., Lynch, K., DuVall, S., Garcon, H., Thomann, L., Zhou, J., Gorman, B., Huffman, J., O’Donnell, C., Tsao, P., Beckham, J., Pyarajan, S., Muralidhar, S., Huang, G., Ramoni, R., Hung, A., Chang, K-M., Sun, Y., Joseph, J., Leach, A., Edwards, T., Cho, K., Gaziano, M., Butterworth, A. and Casas, J., 2020. Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19
    Doi: http://doi.org/10.1101/2020.11.19.20234120
  • 2019 (Accepted for publication)

  • Burgess, S., 2019 (Accepted for publication). Shared mechanisms between coronary heart disease and depression: findings from a large UK general population-based cohort Molecular Psychiatry,
  • Burgess, S., 2019 (Accepted for publication). Urinary albumin, sodium, and potassium and cardiovascular outcomes in the UK Biobank: observational and Mendelian randomization analyses Hypertension,
    Doi: http://doi.org/10.1161/HYPERTENSIONAHA.119.14028
  • Allara, E., Morani, G., Carter, P., Gkatzionis, A., Zuber, V., Foley, C., Rees, JMB., Mason, A., Bell, S., Gill, D., Butterworth, A., Angelantonio, ED., Peters, J. and Burgess, S., 2019 (Accepted for publication). Genetic determinants of lipids and cardiovascular disease outcomes: a wide-angled Mendelian randomization investigation Circulation: Genomics and Precision Medicine,
  • Yuan, S., Bäck, M., Bruzelius, M., Mason, AM., Burgess, S. and Larsson, S., 2019 (Accepted for publication). Plasma Phospholipid Fatty Acids, FADS1 and Risk of 15 Cardiovascular Diseases: A Mendelian Randomisation Study Nutrients, v. 11
    Doi: http://doi.org/10.3390/nu11123001
  • Burgess, S., 2019 (Accepted for publication). Circulating phylloquinone, inactive Matrix Gla protein and coronary heart disease risk: a two-sample Mendelian Randomization study Clinical Nutrition,
  • Burgess, S., 2019 (Accepted for publication). A robust and efficient method for Mendelian randomization with hundreds of genetic variants Nature Communications,
  • Brown, R., Traylor, M., Burgess, S., Sawcer, S. and Markus, S., 2019 (Accepted for publication). Do cerebral small vessel disease and multiple sclerosis share common mechanisms of white matter injury? A genetic study. Stroke,
  • Burgess, S., 2019 (Accepted for publication). The association of genetically-predicted testosterone with thromboembolism, heart failure and myocardial infarction: a Mendelian randomization study using UK Biobank British Medical Journal,
  • Burgess, S., 2019 (Accepted for publication). Body mass index and body composition in relation to 14 cardiovascular conditions in UK Biobank: A Mendelian randomization study European Heart Journal,
  • Kar, S., Andrulis, I., Brenner, H., Burgess, S., Chang-Claude, J., Considine, D., Doerk, T., Evans, G., Gago-Dominguez, M., Giles, G., Hartman, M., Huo, D., Kaaks, R., Li, J., Lophatananon, A., Margolin, S., Milne, R., Muir, K., Olsson, H., Punie, K., Radice, P., Simard, J., Tamimi, R., Van Nieuwenhuysen, E., Wendt, C., Wei, Z. and Pharoah, P., 2019 (Accepted for publication). The association between weight at birth and breast cancer risk revisited using Mendelian randomisation European Journal of Epidemiology, v. 34
    Doi: 10.1101/464115
  • Carter, AR., Gill, D., Davies, NM., Taylor, AE., Tillmann, T., Vaucher, J., Wootton, RE., Munafò, MR., Hemani, G., Malik, R., Seshadri, S., Woo, D., Burgess, S., Davey Smith, G., Holmes, MV., Tzoulaki, I., Howe, LD. and Dehghan, A., 2019 (Accepted for publication). Understanding the consequences of education inequality on cardiovascular disease: mendelian randomisation study. BMJ, v. 365
    Doi: http://doi.org/10.1136/bmj.l1855
  • Ruth, KS., Day, FR., Tyrell, J., Thompson, DJ., Wood, AR., Mahajan, A., Beaumont, RN., Wittemans, L., Martin, S., Busch, AS., Erzurumluoglu, AM., Hollis, B., O'Mara, TA., The Endometrial Cancer Association Consortium, , McCarthy, MI., Langenberg, C., Easton, D., Wareham, NJ., Burgess, S., Murray, A., Ong, KK., Frayling, TM. and Perry, JRB., 2019 (Accepted for publication). Using human genetics to understand the disease impacts of testosterone in men and women Nature Medicine,
  • Vissers, LET., Sluijs, I., van der Schouw, VT., Forouhi, N., Imamura, F., Burgess, S., Barricarte, A., Boeing, H., Bonet, C., Chirlaque, M., Fagherazzi, G., Franks, PW., Freisling, H., Gunter, MJ., Quirós, JR., Ibsen, DB., Kaaks, R., Key, T., Khaw, K., Kühn, T., Mokoroa, O., Nilsson, PM., Overvad, K., Pala, V., Palli, D., Panico, S., Sacerdote, C., Spijkermann, MW., Tjonneland, A., Tumino, R., Rodríguez-Barranco, M., Rolandsson, O., Riboli, E., Sharp, SJ., Langenberg, C. and Wareham, N., 2019 (Accepted for publication). Dairy product intake and risk of type 2 diabetes in EPIC-InterAct: A Mendelian randomization study Diabetes Care, v. 42
    Doi: 10.2337/dc18-2034
  • Kamat, MA., Blackshaw, JA., Young, R., Surendran, P., Burgess, S., Danesh, J., Butterworth, AS. and Staley, JR., 2019 (Accepted for publication). PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations Bioinformatics,
  • Burgess, S., 2019 (Accepted for publication). Thyroid Function and Dysfunction in Relation to 16 Cardiovascular Diseases: A Mendelian Randomization Study Circulation. Cardiovascular genetics,
  • Burgess, S., 2019 (Accepted for publication). Smoking and ischemic stroke and intracerebral hemorrhage: A Mendelian randomization study Annals of Neurology,
    Doi: http://doi.org/10.1002/ana.25534
  • Ference, BA., Ray, KK., Catapano, AL., Ference, TB., Burgess, S., Neff, DR., Oliver-Williams, C., Wood, AM., Butterworth, AS., Di Angelantonio, E., Danesh, J., Kastelein, JJP. and Nicholls, SJ., 2019 (Accepted for publication). A Mendelian Randomization Study of ACL and Cardiovascular Disease New England Journal of Medicine,
  • Burgess, S., Foley, C. and Rees, J., 2019 (Accepted for publication). Factorial Mendelian randomization: using genetic variants to assess interactions International Journal of Epidemiology,
  • Wittemans, L., Lotta, LA., Oliver-Williams, C., Stewart, ID., Surendran, P., Karthikeyan, S., Day, FR., Koulman, A., Imamura, F., Zeng, L., Erdmann, J., Schunkert, H., Khaw, K., Griffin, JL., Forouhi, N., Scott, RA., Wood, AM., Burgess, S., Howson, JMM., Danesh, J., Wareham, NJ., Butterworth, A. and Langenberg, C., 2019 (Accepted for publication). Assessing the causal association of glycine with risk of cardio-metabolic diseases Nature Communications,
  • Burgess, S., 2019 (Accepted for publication). Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates PLoS One,
  • Sun, Y-Q., Burgess, S., Staley, JR., Wood, AM., Bell, S., Kaptoge, SK., Guo, Q., Bolton, T., Mason, AM., Butterworth, AS., Di Angelantonio, E., Vie, GÅ., Bjørngaard, JH., Kinge, JM., Chen, Y. and Mai, X-M., 2019 (Accepted for publication). Body mass index and all-cause mortality in the HUNT and UK Biobank studies: Linear and non-linear Mendelian randomization analyses BMJ,
  • Burgess, S. and Davey Smith, G., 2019 (Accepted for publication). How humans can contribute to Mendelian randomization analyses. International Journal of Epidemiology, v. 48
    Doi: http://doi.org/10.1093/ije/dyz152
  • 2019

  • Foley, C., Staley, J., Breen, P., Sun, B., Kirk, P., Burgess, S. and Howson, J., 2019. A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits
    Doi: http://doi.org/10.1101/592238
  • Dam, V., van der Schouw, YT., Onland-Moret, NC., Groenwold, RHH., Peters, SAE., Burgess, S., Wood, AM., Chirlaque, M-D., Moons, KGM., Oliver-Williams, C., Schuit, E., Tikk, K., Weiderpass, E., Holm, M., Tjønneland, A., Kühn, T., Fortner, RT., Trichopoulou, A., Karakatsani, A., La Vecchia, C., Ferrari, P., Gunter, M., Masala, G., Sieri, S., Tumino, R., Panico, S., Boer, JMA., Verschuren, WMM., Salamanca-Fernández, E., Arriola, L., Moreno-Iribas, C., Engström, G., Melander, O., Nordendahl, M., Wennberg, P., Key, TJ., Colorado-Yohar, S., Matullo, G., Overvad, K., Clavel-Chapelon, F., Boeing, H., Quiros, JR., di Angelantonio, E., Langenberg, C., Sweeting, MJ., Riboli, E., Wareham, NJ., Danesh, J. and Butterworth, A., 2019. Association of menopausal characteristics and risk of coronary heart disease: a pan-European case-cohort analysis. Int J Epidemiol, v. 48
    Doi: http://doi.org/10.1093/ije/dyz016
  • Larsson, SC., Traylor, M., Burgess, S., Boncoraglio, GB., Jern, C., Michaëlsson, K., Markus, HS. and MEGASTROKE project of the International Stroke Genetics Consortium, , 2019. Serum magnesium and calcium levels in relation to ischemic stroke: Mendelian randomization study. Neurology, v. 92
    Doi: http://doi.org/10.1212/WNL.0000000000007001
  • Sun, L., Pennells, L., Kaptoge, S., Nelson, C., Abraham, G., Arnold, M., Bell, S., Bolton, T., Burgess, S., Dudbridge, F., Guo, Q., Ritchie, S., Sofianopoulou, E., Stevens, D., Thompson, J., Butterworth, A., Wood, A., Danesh, J., Samani, N., Inouye, M. and Angelantonio, ED., 2019. Use of polygenic risk scores and other molecular markers to enhance cardiovascular risk prediction: prospective cohort study and modelling analysis
    Doi: http://doi.org/10.1101/744565
  • Larsson, SC., Michaëlsson, K. and Burgess, S., 2019. Mendelian randomization in the bone field. Bone, v. 126
    Doi: http://doi.org/10.1016/j.bone.2018.10.011
  • Larsson, SC., Drca, N., Mason, AM. and Burgess, S., 2019. Resting Heart Rate and Cardiovascular Disease. Circ Genom Precis Med, v. 12
    Doi: http://doi.org/10.1161/CIRCGEN.119.002459
  • Khandaker, G., Zuber, V., Rees, JMB., Carvalho, L., Mason, A., Foley, C., Gkatzionis, A., Jones, P. and Burgess, S., 2019. Shared mechanisms between coronary heart disease and depression: findings from a large UK general population-based cohort
    Doi: http://doi.org/10.1101/533828
  • Kar, SP., Brenner, H., Giles, GG., Huo, D., Milne, RL., Rennert, G., Simard, J., Zheng, W., Burgess, S. and Pharoah, PDP., 2019. Body mass index and the association between low-density lipoprotein cholesterol as predicted by HMGCR genetic variants and breast cancer risk. Int J Epidemiol, v. 48
    Doi: http://doi.org/10.1093/ije/dyz047
  • Gregson, J., Kaptoge, SK., Bolton, T., Pennells, L., Willeit, P., Burgess, S., Bell, S., Sweeting, M., Rimm, EB., Kabrhel, C., Zöller, B., Wassertheil-Smoller, S., Lowe, GDO., Wood, AM., Butterworth, A., Thompson, SG., Danesh, J., Di Angelantonio, E. and Meade, T., 2019. Cardiovascular Risk Factors Associated With Venous Thromboembolism JAMA Cardiology, v. 1
    Doi: http://doi.org/10.1001/jamacardio.2018.4537
  • Gregson, J., Kaptoge, S., Bolton, T., Pennells, L., Willeit, P., Burgess, S., Bell, S., Sweeting, M., Rimm, EB., Kabrhel, C., Zöller, B., Assmann, G., Gudnason, V., Folsom, AR., Arndt, V., Fletcher, A., Norman, PE., Nordestgaard, BG., Kitamura, A., Mahmoodi, BK., Whincup, PH., Knuiman, M., Salomaa, V., Meisinger, C., Koenig, W., Kavousi, M., Völzke, H., Cooper, JA., Ninomiya, T., Casiglia, E., Rodriguez, B., Ben-Shlomo, Y., Després, J-P., Simons, L., Barrett-Connor, E., Björkelund, C., Notdurfter, M., Kromhout, D., Price, J., Sutherland, SE., Sundström, J., Kauhanen, J., Gallacher, J., Beulens, JWJ., Dankner, R., Cooper, C., Giampaoli, S., Deen, JF., Gómez de la Cámara, A., Kuller, LH., Rosengren, A., Svensson, PJ., Nagel, D., Crespo, CJ., Brenner, H., Albertorio-Diaz, JR., Atkins, R., Brunner, EJ., Shipley, M., Njølstad, I., Lawlor, DA., van der Schouw, YT., Selmer, RM., Trevisan, M., Verschuren, WMM., Greenland, P., Wassertheil-Smoller, S., Lowe, GDO., Wood, AM., Butterworth, AS., Thompson, SG., Danesh, J., Di Angelantonio, E., Meade, T. and Emerging Risk Factors Collaboration, , 2019. Cardiovascular Risk Factors Associated With Venous Thromboembolism. JAMA Cardiol,
    Doi: http://doi.org/10.1001/jamacardio.2018.4537
  • Tikkanen, E., Gustafsson, S., Knowles, JW., Perez, M., Burgess, S. and Ingelsson, E., 2019. Body composition and atrial fibrillation: a Mendelian randomization study. Eur Heart J, v. 40
    Doi: http://doi.org/10.1093/eurheartj/ehz003
  • Larsson, SC., Burgess, S. and Michaëlsson, K., 2019. Smoking and stroke: A mendelian randomization study. Ann Neurol, v. 86
    Doi: http://doi.org/10.1002/ana.25534
  • 2018 (Accepted for publication)

  • Burgess, S., 2018 (Accepted for publication). LPA variants, risk of coronary disease, and estimated clinical benefit of lipoprotein(a) lowering therapies: a Mendelian randomization analysis JAMA Cardiology,
  • Burgess, S., 2018 (Accepted for publication). Association of alcohol consumption with allergic disease and asthma: a multicenter Mendelian Randomization analysis Addiction,
  • Burgess, S., Zuber, V., Gkatzionis, A. and Foley, CN., 2018 (Accepted for publication). Modal-based estimation via heterogeneity-penalized weighting: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid International Journal of Epidemiology,
  • Burgess, S., 2018 (Accepted for publication). MR-Base: a platform for systematic causal inference across the phenome using billions of genetic associations eLife, v. 7
    Doi: http://doi.org/10.7554/eLife.34408.001
  • Zwakenberg, SR., Remmelzwaal, S., Beulens, JWJ., Booth, SL., Burgess, S., Dashti, HS., Imamura, F., Feskens, EJM., van der Schouw, YT. and Sluijs, I., 2018 (Accepted for publication). Circulating phylloquinone concentrations and risk of type 2 diabetes: a Mendelian Randomization study Diabetes,
  • Burgess, S., 2018 (Accepted for publication). Birthweight, Type 2 Diabetes and Cardiovascular Disease: Addressing the Barker Hypothesis with Mendelian Randomization Circulation: Genomic and Precision Medicine,
  • Burgess, S., 2018 (Accepted for publication). Disentangling polygenic associations between attention-deficit/hyperactivity disorder, educational attainment, literacy and language Translational Psychiatry, v. 9
    Doi: http://doi.org/10.1038/s41398-018-0324-2
  • Burgess, S., 2018 (Accepted for publication). Genetic predictors of testosterone and their associations with cardiovascular disease and risk factors: a Mendelian randomization investigation International Journal of Cardiology,
  • Lotta, LA., Wittemans, L., Zuber, V., Stewart, ID., Sharp, SJ., Luan, J., Day, F., Li, C., Bowker, N., Cai, L., De Lucia Rolfe, E., Khaw, K., Perry, JRB., O'Rahilly, S., Scott, RA., Savage, D., Burgess, S., Wareham, NJ. and Langenberg, C., 2018 (Accepted for publication). Association of genetic variants related to gluteofemoral versus abdominal fat distribution with type 2 diabetes, coronary disease, and cardiovascular risk factors JAMA - Journal of the American Medical Association,
  • Burgess, S., 2018 (Accepted for publication). Mendelian randomization: investigating causal relationship between urate and Parkinson's disease Annals of Neurology,
    Doi: http://doi.org/10.1002/ana.25294
  • Kunutsor, S., Laukkanen, J. and Burgess, S., 2018 (Accepted for publication). Genetically elevated gamma-glutamyltransferase and Alzheimer’s disease Experimental Gerontology,
    Doi: http://doi.org/10.1016/j.exger.2018.03.001
  • Burgess, S., Ference, B., Staley, JR., Freitag, DF., Mason, A., Nielsen, S., Willeit, P., Young, R., Surendran, P., Karthikeyan, S., Bolton, T., Peters, JE., Kamstrup, P., Tybjaerg-Hansen, A., Benn, M., Langsted, A., Schnohr, P., Vedel-Krogh, S., Kobylecki, C., Ford, I., Packard, C., Trompet, S., Jukema, JW., Sattar, N., Di Angelantonio, E., Saleheen, D., Howson, J., Nordestgaard, B., Butterworth, A. and Danesh, J., 2018 (Accepted for publication). Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies A Mendelian Randomization Analysis JAMA Cardiology,
  • Danesh, J., Sun, B., Peters, J. and Butterworth, A., 2018 (Accepted for publication). Genomic atlas of the human plasma proteome. Nature,
  • Burgess, S. and Labrecque, J., 2018 (Accepted for publication). Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates European Journal of Epidemiology,
  • Lotta, LA., Stewart, ID., Sharp, SJ., Day, FR., Burgess, S., Luan, J., Bowker, N., Cai, L., Li, C., Wittemans, LBL., Kerrison, ND., Khaw, K., McCarthy, MI., O'Rahilly, S., Scott, RA., Savage, DB., Perry, JRB., Langenberg, C. and Wareham, NJ., 2018 (Accepted for publication). Genetically-enhanced LPL mediated lipolysis, LDL cholesterol lowering alleles and risk of coronary disease and type 2 diabetes JAMA Cardiology,
  • Pennells, L., Kaptoge, S., Wood, A., Sweeting, M., Zhao, X., White, I., Burgess, S., Willeit, P., Bolton, T., Moons, KGM., Thompson, SG., Danesh, J. and Di Angelantonio, E., 2018 (Accepted for publication). Equalisation of four cardiovascular risk algorithms after systematic re-calibration: individual-participant meta-analysis of 86 prospective studies European Heart Journal,
  • Burgess, S., 2018 (Accepted for publication). Serum magnesium levels and risk of coronary artery disease: Mendelian randomization study BMC Medicine,
  • Burgess, S., 2018 (Accepted for publication). Serum 25-hydroxyvitamin D levels and risk of lung cancer and histologic types: a Mendelian randomization analysis of the HUNT study European Respiratory Journal,
  • Burgess, S. and Gkatzionis, A., 2018 (Accepted for publication). Contextualizing selection bias in Mendelian randomization: how bad is it likely to be? International Journal of Epidemiology,
    Doi: http://doi.org/10.1093/ije/dyy202
  • 2018

  • Sun, Y-Q., Brumpton, BM., Bonilla, C., Lewis, SJ., Burgess, S. and Mai, X-M., 2018. Serum 25-hydroxyvitamin D levels and risk of lung cancer and histologic types: A Mendenlian randomization analysis of the Hunt study Revue d'Épidémiologie et de Santé Publique, v. 66
    Doi: http://doi.org/10.1016/j.respe.2018.05.186
  • Wood, AM., Kaptoge, S., Butterworth, A., Paul, D., Burgess, S., Sweeting, M., Bell, S., Astle, W., Willeit, P., Bolton, T., Stevens, D., Danesh, J., Di Angelantonio, E. and Thompson, S., 2018. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies The Lancet, v. 391
    Doi: http://doi.org/10.1016/S0140-6736(18)30134-X
  • Burgess, S., Foley, CN. and Zuber, V., 2018. Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data. Annual Review of Genomics and Human Genetics, v. 19
    Doi: http://doi.org/10.1146/annurev-genom-083117-021731
  • Kar, S., Brenner, H., Giles, G., Huo, D., Milne, R., Rennert, G., Simard, J., Zheng, W., Burgess, S. and Pharoah, P., 2018. The association between low-density lipoprotein cholesterol predicted by HMGCR genetic variants and breast cancer risk may be mediated by body mass index International Journal of Epidemiology, v. 48
    Doi: 10.1093/ije/dyz047
  • Hemani, G., Zheng, J., Elsworth, B., Wade, KH., Haberland, V., Baird, D., Laurin, C., Burgess, S., Bowden, J., Langdon, R., Tan, VY., Yarmolinsky, J., Shihab, HA., Timpson, NJ., Evans, DM., Relton, C., Martin, RM., Davey Smith, G., Gaunt, TR. and Haycock, PC., 2018. The MR-Base platform supports systematic causal inference across the human phenome. eLife, v. 7
    Doi: http://doi.org/10.7554/eLife.34408
  • Burgess, S., 2018. What indeed can be tested with an instrumental variable? European Journal of Epidemiology, v. 33
    Doi: http://doi.org/10.1007/s10654-018-0423-7
  • Bédard, A., Lewis, SJ., Burgess, S., Henderson, AJ. and Shaheen, SO., 2018. Maternal iron status during pregnancy and respiratory and atopic outcomes in the offspring: a Mendelian randomisation study. BMJ Open Respir Res, v. 5
    Doi: http://doi.org/10.1136/bmjresp-2018-000275
  • Larsson, SC., Burgess, S. and Michaëlsson, K., 2018. Genetic association between adiposity and gout: a Mendelian randomization study. Rheumatology (Oxford),
    Doi: http://doi.org/10.1093/rheumatology/key229
  • Berzuini, C., Guo, H., Burgess, S. and Bernardinelli, L., 2018. A Bayesian approach to Mendelian randomization with multiple pleiotropic variants. Biostatistics,
    Doi: http://doi.org/10.1093/biostatistics/kxy027
  • 2017 (Accepted for publication)

  • Khandaker, GM., Zammit, S., Burgess, S., Lewis, G. and Jones, P., 2017 (Accepted for publication). Association between a Functional Interleukin 6 Receptor Genetic Variant and Risk of Depression and Psychosis in a Population-based Birth Cohort Brain, Behavior, and Immunity,
  • Walker, VM., Davies, NM., Windmeijer, F., Burgess, S. and Martin, RM., 2017 (Accepted for publication). Power calculator for instrumental variable analysis in pharmacoepidemiology International Journal of Epidemiology,
    Doi: http://doi.org/10.1093/ije/dyx090
  • Burgess, S., Foley, CN. and Zuber, V., 2017 (Accepted for publication). Inferring causal relationships between risk factors and outcomes from GWAS data Annual Review of Genomics and Human Genetics, v. 19
    Doi: http://doi.org/10.1146/annurev-genom-083117-021731
  • Guo, Q. and et al, , 2017 (Accepted for publication). Body Mass Index and Breast Cancer Survival: A Mendelian Randomisation Analysis International Journal of Epidemiology, v. 46
    Doi: http://doi.org/10.1093/ije/dyx131
  • Rees, JMB., Wood, A. and Burgess, S., 2017 (Accepted for publication). Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy Statistics in Medicine,
    Doi: http://doi.org/10.1002/sim.7492
  • Yavorska, OO. and Burgess, S., 2017 (Accepted for publication). MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data International Journal of Epidemiology,
    Doi: http://doi.org/10.1093/ije/dyx034
  • 2017

  • Burgess, S. and Davey Smith, G., 2017. Mendelian Randomization Implicates High-Density Lipoprotein Cholesterol-Associated Mechanisms in Etiology of Age-Related Macular Degeneration Ophthalmology, v. 124
    Doi: 10.1016/j.ophtha.2017.03.042
  • Song, C., Burgess, S., Eicher, JD., CHARGE Consortium Hemostatic Factor Working Group, , ICBP Consortium, , CHARGE Consortium Subclinical Working Group, , O’Donnell, CJ. and Johnson, AD., 2017. Causal Effect of Plasminogen Activator Inhibitor Type 1 on Coronary Heart Disease Journal of the American Heart Association, v. 6
    Doi: http://doi.org/10.1161/JAHA.116.004918
  • Kunutsor, SK., Kieneker, LM., Burgess, S., Bakker, SJL. and Dullaart, RPF., 2017. Circulating Total Bilirubin and Future Risk of Hypertension in the General Population: The Prevention of Renal and Vascular End-Stage Disease (PREVEND) Prospective Study and a Mendelian Randomization Approach Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease, v. 6
    Doi: http://doi.org/10.1161/JAHA.117.006503
  • Sun, B., Maranville, J., Peters, J., Stacey, D., Staley, J., Blackshaw, J., Burgess, S., Jiang, T., Paige, E., Surendran, P., Oliver-Williams, C., Kamat, M., Prins, B., Wilcox, S., Zimmerman, E., Chi, A., Bansal, N., Spain, S., Wood, A., Morrell, N., Bradley, J., Janjic, N., Roberts, D., Ouwehand, W., Todd, J., Soranzo, N., Suhre, K., Paul, D., Fox, C., Plenge, R., Danesh, J., Runz, H. and Butterworth, A., 2017. Consequences of natural perturbations in the human plasma proteome
    Doi: 10.1101/134551
  • Liu, Z., Burgess, S., Wang, Z., Deng, W., Chu, X., Cai, J., Zhu, Y., Shi, J., Xie, X., Wang, Y., Jin, L. and Wang, X., 2017. Corrigendum: Associations of triglyceride levels with longevity and frailty: A Mendelian randomization analysis. Scientific Reports, v. 7
    Doi: http://doi.org/10.1038/srep43981
  • Burgess, S. and Thompson, SG., 2017. Interpreting findings from Mendelian randomization using the MR-Egger method European Journal of Epidemiology, v. 32
    Doi: http://doi.org/10.1007/s10654-017-0255-x
  • Burgess, S., Small, DS. and Thompson, SG., 2017. A review of instrumental variable estimators for Mendelian randomization. Stat Methods Med Res, v. 26
    Doi: http://doi.org/10.1177/0962280215597579
  • Burgess, S., Bowden, J., Fall, T., Ingelsson, E. and Thompson, SG., 2017. Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants. Epidemiology, v. 28
    Doi: http://doi.org/10.1097/EDE.0000000000000559
  • Bowden, J., Burgess, S. and Smith, GD., 2017. Difficulties in Testing the Instrument Strength Independent of Direct Effect Assumption in Mendelian Randomization JAMA Cardiology, v. 2
    Doi: http://doi.org/10.1001/jamacardio.2017.1572
  • Burgess, S., 2017. Estimating and contextualizing the attenuation of odds ratios due to non collapsibility Communications in Statistics - Theory and Methods, v. 46
    Doi: http://doi.org/10.1080/03610926.2015.1006778
  • Harrison, SC., Holmes, MV., Burgess, S., Asselbergs, FW., Jones, GT., Baas, AF., van 't Hof, FN., de Bakker, PIW., Blankensteijn, JD., Powell, JT., Saratzis, A., de Borst, GJ., Swerdlow, DI., van der Graaf, Y., van Rij, AM., Carey, DJ., Elmore, JR., Tromp, G., Kuivaniemi, H., Sayers, RD., Samani, NJ., Bown, MJ. and Humphries, SE., 2017. Genetic Association of Lipids and Lipid Drug Targets With Abdominal Aortic Aneurysm: A Meta-analysis. JAMA Cardiol, v. 3
    Doi: 10.1001/jamacardio.2017.4293
  • Burgess, S. and Thompson, SG., 2017. Erratum to: Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol, v. 32
    Doi: http://doi.org/10.1007/s10654-017-0276-5
  • Obeidat, M., Li, X., Burgess, S., Zhou, G., Fishbane, N., Hansel, NN., Bossé, Y., Joubert, P., Hao, K., Nickle, DC., van den Berge, M., Timens, W., Cho, MH., Hobbs, BD., de Jong, K., Boezen, M., Hung, RJ., Rafaels, N., Mathias, R., Ruczinski, I., Beaty, TH., Barnes, KC., Paré, PD., Sin, DD. and International COPD Genetics Consortium, Lung eQTL Consortium, Lung Health Study, , 2017. Surfactant protein D is a causal risk factor for COPD: results of Mendelian randomisation. Eur Respir J, v. 50
    Doi: http://doi.org/10.1183/13993003.00657-2017
  • Larsson, SC., Traylor, M., Malik, R., Dichgans, M., Burgess, S., Markus, HS. and CoSTREAM Consortium, on behalf of the International Genomics of Alzheimer’s Project, , 2017. Modifiable pathways in Alzheimer's disease: Mendelian randomisation analysis. BMJ, v. 359
  • Burgess, S., Haycock, P., Markus, HS. and Willeit, P., 2017. Mendelian randomization study of the association between telomere length and risk of cancer and non-neoplastic diseases JAMA - Journal of the American Medical Association,
    Doi: http://doi.org/10.1001/jamaoncol.2016.5945
  • Larsson, SC., Burgess, S. and Michaëlsson, K., 2017. Association of Genetic Variants Related to Serum Calcium Levels With Coronary Artery Disease and Myocardial Infarction JAMA, v. 318
    Doi: http://doi.org/10.1001/jama.2017.8981
  • Gage, SH., Jones, HJ., Burgess, S., Bowden, J., Davey Smith, G., Zammit, S. and Munafò, MR., 2017. Assessing causality in associations between cannabis use and schizophrenia risk: a two-sample Mendelian randomization study. Psychol Med, v. 47
    Doi: http://doi.org/10.1017/S0033291716003172
  • Burgess, S., Thompson, DJ., Rees, JMB., Day, FR., Perry, JR. and Ong, K., 2017. Dissecting Causal Pathways Using Mendelian Randomization with Summarized Genetic Data: Application to Age at Menarche and Risk of Breast Cancer Genetics, v. 207
    Doi: http://doi.org/10.1534/genetics.117.300191
  • Gregson, JM., Freitag, DF., Surendran, P., Stitziel, NO., Chowdhury, R., Burgess, S., Kaptoge, S., Gao, P., Staley, JR., Willeit, P., Nielsen, SF., Caslake, M., Trompet, S., Polfus, LM., Kuulasmaa, K., Kontto, J., Perola, M., Blankenberg, S., Veronesi, G., Gianfagna, F., Männistö, S., Kimura, A., Lin, H., Reilly, DF., Gorski, M., Mijatovic, V., CKDGen consortium, , Munroe, PB., Ehret, GB., International Consortium for Blood Pressure, , Thompson, A., Uria-Nickelsen, M., Malarstig, A., Dehghan, A., CHARGE inflammation working group, , Vogt, TF., Sasaoka, T., Takeuchi, F., Kato, N., Yamada, Y., Kee, F., Müller-Nurasyid, M., Ferrières, J., Arveiler, D., Amouyel, P., Salomaa, V., Boerwinkle, E., Thompson, SG., Ford, I., Wouter Jukema, J., Sattar, N., Packard, CJ., Shafi Majumder, AA., Alam, DS., Deloukas, P., Schunkert, H., Samani, NJ., Kathiresan, S., MICAD Exome consortium, , Nordestgaard, BG., Saleheen, D., Howson, JM., Di Angelantonio, E., Butterworth, AS., Danesh, J. and EPIC-CVD consortium and the CHD Exome+ consortium, , 2017. Genetic invalidation of Lp-PLA$_{2}$ as a therapeutic target: Large-scale study of five functional Lp-PLA$_{2}$-lowering alleles European Journal of Preventive Cardiology, v. 24
    Doi: http://doi.org/10.1177/2047487316682186
  • Gage, SH., Jones, HJ., Taylor, AE., Burgess, S., Zammit, S. and Munafò, MR., 2017. Investigating causality in associations between smoking initiation and schizophrenia using Mendelian randomization Scientific Reports, v. 7
    Doi: http://doi.org/10.1038/srep40653
  • Larsson, SC., Traylor, M., Burgess, S. and Markus, HS., 2017. Genetically-Predicted Adult Height and Alzheimer's Disease Journal of Alzheimer's Disease, v. 60
    Doi: http://doi.org/10.3233/JAD-170528
  • Liu, Z., Burgess, S., Wang, Z., Deng, W., Chu, X., Cai, J., Zhu, Y., Shi, J., Xie, X., Wang, Y., Jin, L. and Wang, X., 2017. Associations of triglyceride levels with longevity and frailty: A Mendelian randomization analysis. Sci Rep, v. 7
    Doi: http://doi.org/10.1038/srep41579
  • Burgess, S., Zuber, V., Valdes-Marquez, E., Sun, BB. and Hopewell, JC., 2017. Mendelian randomization with fine-mapped genetic data: choosing from large numbers of correlated instrumental variables Genetic Epidemiology,
    Doi: http://doi.org/10.1002/gepi.22077
  • Staley, JR. and Burgess, S., 2017. Semiparametric methods for estimation of a nonlinear exposure-outcome relationship using instrumental variables with application to Mendelian randomization Genetic Epidemiology, v. 41
    Doi: http://doi.org/10.1002/gepi.22041
  • 2016

  • Surendran, P., Drenos, F., Young, R., Warren, H., Cook, JP., Manning, AK., Grarup, N., Sim, X., Barnes, DR., Witkowska, K., Staley, JR., Tragante, V., Tukiainen, T., Yaghootkar, H., Masca, N., Freitag, DF., Ferreira, T., Giannakopoulou, O., Tinker, A., Harakalova, M., Mihailov, E., Liu, C., Kraja, AT., Fallgaard Nielsen, S., Rasheed, A., Samuel, M., Zhao, W., Bonnycastle, LL., Jackson, AU., Narisu, N., Swift, AJ., Southam, L., Marten, J., Huyghe, JR., Stančáková, A., Fava, C., Ohlsson, T., Matchan, A., Stirrups, KE., Bork-Jensen, J., Gjesing, AP., Kontto, J., Perola, M., Shaw-Hawkins, S., Havulinna, AS., Zhang, H., Donnelly, LA., Groves, CJ., Rayner, NW., Neville, MJ., Robertson, NR., Yiorkas, AM., Herzig, K-H., Kajantie, E., Zhang, W., Willems, SM., Lannfelt, L., Malerba, G., Soranzo, N., Trabetti, E., Verweij, N., Evangelou, E., Moayyeri, A., Vergnaud, A-C., Nelson, CP., Poveda, A., Varga, TV., Caslake, M., de Craen, AJ., Trompet, S., Luan, J., Scott, RA., Harris, SE., Liewald, DC., Marioni, R., Menni, C., Farmaki, A-E., Hallmans, G., Renström, F., Huffman, JE., Hassinen, M., Burgess, S., Vasan, RS., Felix, JF., CHARGE-Heart Failure Consortium, , Uria-Nickelsen, M., Malarstig, A., Reily, DF., Hoek, M., Vogt, T., Lin, H., Lieb, W., EchoGen Consortium, , Traylor, M., Markus, HF., METASTROKE Consortium, , Highland, HM., Justice, AE., Marouli, E., GIANT Consortium, , Lindström, J., Uusitupa, M., Komulainen, P., Lakka, TA., Rauramaa, R., Polasek, O., Rudan, I., Rolandsson, O., Franks, PW., Dedoussis, G., Spector, TD., EPIC-InterAct Consortium, , Jousilahti, P., Männistö, S., Deary, IJ., Starr, JM., Langenberg, C., Wareham, NJ., Brown, MJ., Dominiczak, AF., Connell, JM., Jukema, JW., Sattar, N., Ford, I., Packard, CJ., Esko, T., Mägi, R., Metspalu, A., de Boer, RA., van der Meer, P., van der Harst, P., Lifelines Cohort Study, , Gambaro, G., Ingelsson, E., Lind, L., de Bakker, PI., Numans, ME., Brandslund, I., Christensen, C., Petersen, ER., Korpi-Hyövälti, E., Oksa, H., Chambers, JC., Kooner, JS., Blakemore, AI., Franks, S., Jarvelin, M-R., Husemoen, LL., Linneberg, A., Skaaby, T., Thuesen, B., Karpe, F., Tuomilehto, J., Doney, AS., Morris, AD., Palmer, CN., Holmen, OL., Hveem, K., Willer, CJ., Tuomi, T., Groop, L., Käräjämäki, A., Palotie, A., Ripatti, S., Salomaa, V., Alam, DS., Shafi Majumder, AA., Di Angelantonio, E., Chowdhury, R., McCarthy, MI., Poulter, N., Stanton, AV., Sever, P., Amouyel, P., Arveiler, D., Blankenberg, S., Ferrières, J., Kee, F., Kuulasmaa, K., Müller-Nurasyid, M., Veronesi, G., Virtamo, J., Deloukas, P., Wellcome Trust Case Control Consortium, , Elliott, P., Understanding Society Scientific Group, , Zeggini, E., Kathiresan, S., Melander, O., Kuusisto, J., Laakso, M., Padmanabhan, S., Porteous, D., Hayward, C., Scotland, G., Collins, FS., Mohlke, KL., Hansen, T., Pedersen, O., Boehnke, M., Stringham, HM., EPIC-CVD Consortium, , Frossard, P., Newton-Cheh, C., CHARGE+ Exome Chip Blood Pressure Consortium, , Tobin, MD., Nordestgaard, BG., T2D-GENES Consortium, , GoT2DGenes Consortium, , ExomeBP Consortium, , CHD Exome+ Consortium, , Caulfield, MJ., Mahajan, A., Morris, AP., Tomaszewski, M., Samani, NJ., Saleheen, D., Asselbergs, FW., Lindgren, CM., Danesh, J., Wain, LV., Butterworth, AS., Howson, JM. and Munroe, PB., 2016. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat Genet, v. 48
    Doi: http://doi.org/10.1038/ng.3654
  • Burgess, S., Davies, NM. and Thompson, SG., 2016. Bias due to participant overlap in two-sample Mendelian randomization. Genet Epidemiol, v. 40
    Doi: http://doi.org/10.1002/gepi.21998
  • Bowden, J., Burgess, S. and Davey Smith, G., 2016. Response to Hartwig and Davies International Journal of Epidemiology, v. 45
    Doi: http://doi.org/10.1093/ije/dyw252
  • Burgess, S., Thompson, SG. and CRP CHD Genetics Collaboration, , 2016. Methods for meta-analysis of individual participant data from Mendelian randomisation studies with binary outcomes. Stat Methods Med Res, v. 25
    Doi: http://doi.org/10.1177/0962280212451882
  • Lotta, LA., Sharp, SJ., Burgess, S., Perry, JRB., Stewart, ID., Willems, SM., Luan, J., Ardanaz, E., Arriola, L., Balkau, B., Boeing, H., Deloukas, P., Forouhi, NG., Franks, PW., Grioni, S., Kaaks, R., Key, TJ., Navarro, C., Nilsson, PM., Overvad, K., Palli, D., Panico, S., Quirós, J-R., Riboli, E., Rolandsson, O., Sacerdote, C., Salamanca-Fernandez, E., Slimani, N., Spijkerman, AMW., Tjonneland, A., Tumino, R., van der A, DL., van der Schouw, YT., McCarthy, MI., Barroso, I., O'Rahilly, S., Savage, DB., Sattar, N., Langenberg, C., Scott, RA. and Wareham, NJ., 2016. Association Between Low-Density Lipoprotein Cholesterol-Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis JAMA, v. 316
    Doi: http://doi.org/10.1001/jama.2016.14568
  • Burgess, S., Butterworth, AS. and Thompson, JR., 2016. Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors. J Clin Epidemiol, v. 69
    Doi: http://doi.org/10.1016/j.jclinepi.2015.08.001
  • Murray, J., Burgess, S., Zuccolo, L., Hickman, M., Gray, R. and Lewis, SJ., 2016. Moderate alcohol drinking in pregnancy increases risk for children's persistent conduct problems: causal effects in a Mendelian randomisation study. J Child Psychol Psychiatry, v. 57
    Doi: http://doi.org/10.1111/jcpp.12486
  • Eppinga, RN., Hagemeijer, Y., Burgess, S., Hinds, DA., Stefansson, K., Gudbjartsson, DF., van Veldhuisen, DJ., Munroe, PB., Verweij, N. and van der Harst, P., 2016. Identification of genomic loci associated with resting heart rate and shared genetic predictors with all-cause mortality Nature Genetics, v. 48
    Doi: http://doi.org/10.1038/ng.3708
  • Burgess, S., Dudbridge, F. and Thompson, SG., 2016. Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods. Stat Med, v. 35
    Doi: http://doi.org/10.1002/sim.6835
  • Burgess, S., 2016. Plasma urate and coronary heart disease: fingerprint match, but no smoking gun. Lancet Diabetes Endocrinol, v. 4
    Doi: http://doi.org/10.1016/S2213-8587(15)00425-8
  • Lotta, LA., Scott, RA., Sharp, SJ., Burgess, S., Luan, J., Tillin, T., Schmidt, AF., Imamura, F., Stewart, ID., Perry, JRB., Marney, L., Koulman, A., Karoly, ED., Forouhi, NG., Sjögren, RJO., Näslund, E., Zierath, JR., Krook, A., Savage, DB., Griffin, JL., Chaturvedi, N., Hingorani, AD., Khaw, K-T., Barroso, I., McCarthy, MI., O'Rahilly, S., Wareham, NJ. and Langenberg, C., 2016. Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis PLoS Medicine, v. 13
    Doi: http://doi.org/10.1371/journal.pmed.1002179
  • Burgess, S. and Small, DS., 2016. Predicting the Direction of Causal Effect Based on an Instrumental Variable Analysis: A Cautionary Tale Journal of Causal Inference, v. 4
    Doi: 10.1515/jci-2015-0024
  • Burgess, S. and Harshfield, EL., 2016. Mendelian randomization to assess causal effects of blood lipids on coronary heart disease: lessons from the past and applications to the future Current Opinion in Endocrinology, Diabetes and Obesity, v. 23
    Doi: http://doi.org/10.1097/MED.0000000000000230
  • Haycock, PC., Burgess, S., Wade, KH., Bowden, J., Relton, C. and Davey Smith, G., 2016. Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies. Am J Clin Nutr, v. 103
    Doi: http://doi.org/10.3945/ajcn.115.118216
  • Bowden, J., Davey Smith, G., Haycock, PC. and Burgess, S., 2016. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genet Epidemiol, v. 40
    Doi: http://doi.org/10.1002/gepi.21965
  • Taylor, AE., Burgess, S., Ware, JJ., Gage, SH., Richards, JB., Davey Smith, G. and Munafò, MR., 2016. Investigating causality in the association between 25(OH)D and schizophrenia. Sci Rep, v. 6
    Doi: http://doi.org/10.1038/srep26496
  • Staley, JR., Blackshaw, J., Kamat, MA., Ellis, S., Surendran, P., Sun, BB., Paul, DS., Freitag, D., Burgess, S., Danesh, J., Young, R. and Butterworth, AS., 2016. PhenoScanner: a database of human genotype-phenotype associations. Bioinformatics, v. 32
    Doi: http://doi.org/10.1093/bioinformatics/btw373
  • Natriuretic Peptides Studies Collaboration, , Willeit, P., Kaptoge, S., Welsh, P., Butterworth, A., Chowdhury, R., Spackman, S., Pennells, L., Gao, P., Burgess, S., Freitag, D., Sweeting, M., Wood, A., Cook, N., Judd, S., Trompet, S., Nambi, V., Olsen, M., Everett, B., Kee, F., Ärnlöv, J., Salomaa, V., Levy, D., Kauhanen, J., Laukkanen, J., Kavousi, M., Ninomiya, T., Casas, J-P., Daniels, L., Lind, L., Kistorp, C., Rosenberg, J., Mueller, T., Rubattu, S., Panagiotakos, D., Franco, O., de Lemos, J., Luchner, A., Kizer, J., Kiechl, S., Salonen, J., Goya Wannamethee, S., de Boer, R., Nordestgaard, B., Andersson, J., Jørgensen, T., Melander, O., Ballantyne, C., DeFilippi, C., Ridker, P., Cushman, M., Rosamond, W., Thompson, S., Gudnason, V., Sattar, N., Danesh, J. and Di Angelantonio, E., 2016. Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis. Lancet Diabetes Endocrinol, v. 4
    Doi: http://doi.org/10.1016/S2213-8587(16)30196-6
  • Corbin, LJ., Richmond, RC., Wade, KH., Burgess, S., Bowden, J., Smith, GD. and Timpson, NJ., 2016. BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization. Diabetes, v. 65
    Doi: http://doi.org/10.2337/db16-0418
  • Lee, YS., Cho, Y., Burgess, S., Davey Smith, G., Relton, CL., Shin, S-Y. and Shin, M-J., 2016. Serum gamma-glutamyl transferase and risk of type 2 diabetes in the general Korean population: a Mendelian randomization study. Hum Mol Genet, v. 25
    Doi: http://doi.org/10.1093/hmg/ddw226
  • 2015

  • Burgess, S., Daniel, RM., Butterworth, AS., Thompson, SG. and EPIC-InterAct Consortium, , 2015. Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways. Int J Epidemiol, v. 44
    Doi: http://doi.org/10.1093/ije/dyu176
  • Galesloot, TE., Janss, LL., Burgess, S., Kiemeney, LALM., den Heijer, M., de Graaf, J., Holewijn, S., Benyamin, B., Whitfield, JB., Swinkels, DW. and Vermeulen, SH., 2015. Iron and hepcidin as risk factors in atherosclerosis: what do the genes say? BMC Genet, v. 16
    Doi: http://doi.org/10.1186/s12863-015-0246-4
  • Galesloot, TE., Janss, LL., Burgess, S., Kiemeney, LALM., den Heijer, M., de Graaf, J., Holewijn, S., Benyamin, B., Whitfield, JB., Swinkels, DW. and Vermeulen, SH., 2015. Iron and hepcidin as risk factors in atherosclerosis: What do the genes say? BMC Genetics,
    Doi: http://doi.org/10.1186/s12863-015-0246-4
  • Ye, Z., Sharp, SJ., Burgess, S., Scott, RA., Imamura, F., InterAct Consortium, , Langenberg, C., Wareham, NJ. and Forouhi, NG., 2015. Association between circulating 25-hydroxyvitamin D and incident type 2 diabetes: a mendelian randomisation study. Lancet Diabetes Endocrinol, v. 3
    Doi: http://doi.org/10.1016/S2213-8587(14)70184-6
  • Forouhi, NG., Sharp, SJ., Ye, Z., Imamura, F. and Burgess, S., 2015. Association between 25-hydroxyvitamin D and type 2 diabetes--authors' reply. Lancet Diabetes Endocrinol, v. 3
    Doi: http://doi.org/10.1016/S2213-8587(14)70247-5
  • Zhang, B., Shu, X-O., Delahanty, RJ., Zeng, C., Michailidou, K., Bolla, MK., Wang, Q., Dennis, J., Wen, W., Long, J., Li, C., Dunning, AM., Chang-Claude, J., Shah, M., Perkins, BJ., Czene, K., Darabi, H., Eriksson, M., Bojesen, SE., Nordestgaard, BG., Nielsen, SF., Flyger, H., Lambrechts, D., Neven, P., Wildiers, H., Floris, G., Schmidt, MK., Rookus, MA., van den Hurk, K., de Kort, WLAM., Couch, FJ., Olson, JE., Hallberg, E., Vachon, C., Rudolph, A., Seibold, P., Flesch-Janys, D., Peto, J., Dos-Santos-Silva, I., Fletcher, O., Johnson, N., Nevanlinna, H., Muranen, TA., Aittomäki, K., Blomqvist, C., Li, J., Humphreys, K., Brand, J., Guénel, P., Truong, T., Cordina-Duverger, E., Menegaux, F., Burwinkel, B., Marme, F., Yang, R., Surowy, H., Benitez, J., Zamora, MP., Perez, JIA., Cox, A., Cross, SS., Reed, MWR., Andrulis, IL., Knight, JA., Glendon, G., Tchatchou, S., Sawyer, EJ., Tomlinson, I., Kerin, MJ., Miller, N., Chenevix-Trench, G., kConFab Investigators, Australian Ovarian Study Group, , Haiman, CA., Henderson, BE., Schumacher, F., Marchand, LL., Lindblom, A., Margolin, S., Hooning, MJ., Martens, JWM., Tilanus-Linthorst, MMA., Collée, JM., Hopper, JL., Southey, MC., Tsimiklis, H., Apicella, C., Slager, S., Toland, AE., Ambrosone, CB., Yannoukakos, D., Giles, GG., Milne, RL., McLean, C., Fasching, PA., Haeberle, L., Ekici, AB., Beckmann, MW., Brenner, H., Dieffenbach, AK., Arndt, V., Stegmaier, C., Swerdlow, AJ., Ashworth, A., Orr, N., Jones, M., Figueroa, J., Garcia-Closas, M., Brinton, L., Lissowska, J., Dumont, M., Winqvist, R., Pylkäs, K., Jukkola-Vuorinen, A., Grip, M., Brauch, H., Brüning, T., Ko, Y-D., Peterlongo, P., Manoukian, S., Bonanni, B., Radice, P., Bogdanova, N., Antonenkova, N., Dörk, T., Mannermaa, A., Kataja, V., Kosma, V-M., Hartikainen, JM., Devilee, P., Seynaeve, C., Van Asperen, CJ., Jakubowska, A., Lubiński, J., Jaworska-Bieniek, K., Durda, K., Hamann, U., Torres, D., Schmutzler, RK., Neuhausen, SL., Anton-Culver, H., Kristensen, VN., Grenaker Alnæs, GI., DRIVE Project, , Pierce, BL., Kraft, P., Peters, U., Lindstrom, S., Seminara, D., Burgess, S., Ahsan, H., Whittemore, AS., John, EM., Gammon, MD., Malone, KE., Tessier, DC., Vincent, D., Bacot, F., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, CS., González-Neira, A., Pita, G., Alonso, MR., Álvarez, N., Herrero, D., Pharoah, PDP., Simard, J., Hall, P., Hunter, DJ., Easton, DF. and Zheng, W., 2015. Height and Breast Cancer Risk: Evidence From Prospective Studies and Mendelian Randomization. J Natl Cancer Inst, v. 107
    Doi: http://doi.org/10.1093/jnci/djv219
  • Davies, NM., von Hinke Kessler Scholder, S., Farbmacher, H., Burgess, S., Windmeijer, F. and Smith, GD., 2015. The many weak instruments problem and Mendelian randomization. Stat Med, v. 34
    Doi: http://doi.org/10.1002/sim.6358
  • Burgess, S., Dudbridge, F. and Thompson, SG., 2015. Re: "Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects". Am J Epidemiol, v. 181
    Doi: http://doi.org/10.1093/aje/kwv017
  • Burgess, S., Scott, RA., Timpson, NJ., Davey Smith, G., Thompson, SG. and EPIC- InterAct Consortium, , 2015. Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors. Eur J Epidemiol, v. 30
    Doi: http://doi.org/10.1007/s10654-015-0011-z
  • Interleukin 1 Genetics Consortium, , 2015. Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis. Lancet Diabetes Endocrinol, v. 3
    Doi: http://doi.org/10.1016/S2213-8587(15)00034-0
  • Burgess, S., 2015. Commentary: Consistency and collapsibility: are they crucial for instrumental variable analysis with a survival outcome in mendelian randomization? Epidemiology, v. 26
    Doi: http://doi.org/10.1097/EDE.0000000000000282
  • White, IR., Rapsomaniki, E. and Emerging Risk Factors Collaboration, , 2015. Covariate-adjusted measures of discrimination for survival data Biometrical Journal, v. 57
    Doi: http://doi.org/10.1002/bimj.201400061
  • Burgess, S. and Thompson, SG., 2015. Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects. Am J Epidemiol, v. 181
    Doi: http://doi.org/10.1093/aje/kwu283
  • Nelson, CP., Hamby, SE., Saleheen, D., Hopewell, JC., Zeng, L., Assimes, TL., Kanoni, S., Willenborg, C., Burgess, S., Amouyel, P., Anand, S., Blankenberg, S., Boehm, BO., Clarke, RJ., Collins, R., Dedoussis, G., Farrall, M., Franks, PW., Groop, L., Hall, AS., Hamsten, A., Hengstenberg, C., Hovingh, GK., Ingelsson, E., Kathiresan, S., Kee, F., König, IR., Kooner, J., Lehtimäki, T., März, W., McPherson, R., Metspalu, A., Nieminen, MS., O'Donnell, CJ., Palmer, CNA., Peters, A., Perola, M., Reilly, MP., Ripatti, S., Roberts, R., Salomaa, V., Shah, SH., Schreiber, S., Siegbahn, A., Thorsteinsdottir, U., Veronesi, G., Wareham, N., Willer, CJ., Zalloua, PA., Erdmann, J., Deloukas, P., Watkins, H., Schunkert, H., Danesh, J., Thompson, JR., Samani, NJ. and CARDIoGRAM+C4D Consortium, , 2015. Genetically determined height and coronary artery disease. N Engl J Med, v. 372
    Doi: http://doi.org/10.1056/NEJMoa1404881
  • Bowden, J., Davey Smith, G. and Burgess, S., 2015. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol, v. 44
    Doi: http://doi.org/10.1093/ije/dyv080
  • Burgess, S., Timpson, NJ., Ebrahim, S. and Davey Smith, G., 2015. Mendelian randomization: where are we now and where are we going? Int J Epidemiol, v. 44
    Doi: http://doi.org/10.1093/ije/dyv108
  • Emerging Risk Factors Collaboration, , Di Angelantonio, E., Kaptoge, S., Wormser, D., Willeit, P., Butterworth, AS., Bansal, N., O'Keeffe, LM., Gao, P., Wood, AM., Burgess, S., Freitag, DF., Pennells, L., Peters, SA., Hart, CL., Håheim, LL., Gillum, RF., Nordestgaard, BG., Psaty, BM., Yeap, BB., Knuiman, MW., Nietert, PJ., Kauhanen, J., Salonen, JT., Kuller, LH., Simons, LA., van der Schouw, YT., Barrett-Connor, E., Selmer, R., Crespo, CJ., Rodriguez, B., Verschuren, WMM., Salomaa, V., Svärdsudd, K., van der Harst, P., Björkelund, C., Wilhelmsen, L., Wallace, RB., Brenner, H., Amouyel, P., Barr, ELM., Iso, H., Onat, A., Trevisan, M., D'Agostino, RB., Cooper, C., Kavousi, M., Welin, L., Roussel, R., Hu, FB., Sato, S., Davidson, KW., Howard, BV., Leening, MJG., Leening, M., Rosengren, A., Dörr, M., Deeg, DJH., Kiechl, S., Stehouwer, CDA., Nissinen, A., Giampaoli, S., Donfrancesco, C., Kromhout, D., Price, JF., Peters, A., Meade, TW., Casiglia, E., Lawlor, DA., Gallacher, J., Nagel, D., Franco, OH., Assmann, G., Dagenais, GR., Jukema, JW., Sundström, J., Woodward, M., Brunner, EJ., Khaw, K-T., Wareham, NJ., Whitsel, EA., Njølstad, I., Hedblad, B., Wassertheil-Smoller, S., Engström, G., Rosamond, WD., Selvin, E., Sattar, N., Thompson, SG. and Danesh, J., 2015. Association of Cardiometabolic Multimorbidity With Mortality. JAMA, v. 314
    Doi: http://doi.org/10.1001/jama.2015.7008
  • Zhang, C., Doherty, JA., Burgess, S., Hung, RJ., Lindström, S., Kraft, P., Gong, J., Amos, CI., Sellers, TA., Monteiro, ANA., Chenevix-Trench, G., Bickeböller, H., Risch, A., Brennan, P., Mckay, JD., Houlston, RS., Landi, MT., Timofeeva, MN., Wang, Y., Heinrich, J., Kote-Jarai, Z., Eeles, RA., Muir, K., Wiklund, F., Grönberg, H., Berndt, SI., Chanock, SJ., Schumacher, F., Haiman, CA., Henderson, BE., Amin Al Olama, A., Andrulis, IL., Hopper, JL., Chang-Claude, J., John, EM., Malone, KE., Gammon, MD., Ursin, G., Whittemore, AS., Hunter, DJ., Gruber, SB., Knight, JA., Hou, L., Le Marchand, L., Newcomb, PA., Hudson, TJ., Chan, AT., Li, L., Woods, MO., Ahsan, H., Pierce, BL. and GECCO and GAME-ON Network: CORECT, DRIVE, ELLIPSE, FOCI, and TRICL, , 2015. Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study. Hum Mol Genet, v. 24
    Doi: http://doi.org/10.1093/hmg/ddv252
  • 2014

  • Burgess, S., Davies, NM., Thompson, SG. and EPIC-InterAct Consortium, , 2014. Instrumental variable analysis with a nonlinear exposure-outcome relationship. Epidemiology, v. 25
    Doi: http://doi.org/10.1097/EDE.0000000000000161
  • Burgess, S., Freitag, DF., Khan, H., Gorman, DN. and Thompson, SG., 2014. Using multivariable Mendelian randomization to disentangle the causal effects of lipid fractions. PLoS One, v. 9
    Doi: http://doi.org/10.1371/journal.pone.0108891
  • Kunutsor, SK., Burgess, S., Munroe, PB. and Khan, H., 2014. Vitamin D and high blood pressure: causal association or epiphenomenon? Eur J Epidemiol, v. 29
    Doi: http://doi.org/10.1007/s10654-013-9874-z
  • Burgess, S., 2014. Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome. Int J Epidemiol, v. 43
    Doi: http://doi.org/10.1093/ije/dyu005
  • Emerging Risk Factors Collaboration, , Di Angelantonio, E., Gao, P., Khan, H., Butterworth, AS., Wormser, D., Kaptoge, S., Kondapally Seshasai, SR., Thompson, A., Sarwar, N., Willeit, P., Ridker, PM., Barr, ELM., Khaw, K-T., Psaty, BM., Brenner, H., Balkau, B., Dekker, JM., Lawlor, DA., Daimon, M., Willeit, J., Njølstad, I., Nissinen, A., Brunner, EJ., Kuller, LH., Price, JF., Sundström, J., Knuiman, MW., Feskens, EJM., Verschuren, WMM., Wald, N., Bakker, SJL., Whincup, PH., Ford, I., Goldbourt, U., Gómez-de-la-Cámara, A., Gallacher, J., Simons, LA., Rosengren, A., Sutherland, SE., Björkelund, C., Blazer, DG., Wassertheil-Smoller, S., Onat, A., Marín Ibañez, A., Casiglia, E., Jukema, JW., Simpson, LM., Giampaoli, S., Nordestgaard, BG., Selmer, R., Wennberg, P., Kauhanen, J., Salonen, JT., Dankner, R., Barrett-Connor, E., Kavousi, M., Gudnason, V., Evans, D., Wallace, RB., Cushman, M., D'Agostino, RB., Umans, JG., Kiyohara, Y., Nakagawa, H., Sato, S., Gillum, RF., Folsom, AR., van der Schouw, YT., Moons, KG., Griffin, SJ., Sattar, N., Wareham, NJ., Selvin, E., Thompson, SG. and Danesh, J., 2014. Glycated hemoglobin measurement and prediction of cardiovascular disease. JAMA, v. 311
    Doi: http://doi.org/10.1001/jama.2014.1873
  • Burgess, S., Granell, R., Palmer, TM., Sterne, JAC. and Didelez, V., 2014. Lack of identification in semiparametric instrumental variable models with binary outcomes. Am J Epidemiol, v. 180
    Doi: http://doi.org/10.1093/aje/kwu107
  • 2013

  • Burgess, S., White, IR., Resche-Rigon, M. and Wood, AM., 2013. Combining multiple imputation and meta-analysis with individual participant data. Stat Med, v. 32
    Doi: http://doi.org/10.1002/sim.5844
  • Burgess, S. and Malarstig, A., 2013. Using Mendelian randomization to assess and develop clinical interventions: limitations and benefits JOURNAL OF COMPARATIVE EFFECTIVENESS RESEARCH, v. 2
    Doi: http://doi.org/10.2217/CER.13.14
  • Burgess, S. and CRP CHD Genetics Collaboration, , 2013. Identifying the odds ratio estimated by a two-stage instrumental variable analysis with a logistic regression model. Stat Med, v. 32
    Doi: http://doi.org/10.1002/sim.5871
  • Burgess, S. and Thompson, SG., 2013. Use of allele scores as instrumental variables for Mendelian randomization. Int J Epidemiol, v. 42
    Doi: http://doi.org/10.1093/ije/dyt093
  • Pierce, BL. and Burgess, S., 2013. Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators American Journal of Epidemiology, v. 178
    Doi: 10.1093/aje/kwt084
  • Burgess, S., Butterworth, A. and Thompson, SG., 2013. Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol, v. 37
    Doi: http://doi.org/10.1002/gepi.21758
  • 2012

  • Burgess, S. and Thompson, SG., 2012. Improving bias and coverage in instrumental variable analysis with weak instruments for continuous and binary outcomes. Stat Med, v. 31
    Doi: http://doi.org/10.1002/sim.4498
  • Burgess, S., 2012. Re: "credible mendelian randomization studies: approaches for evaluating the instrumental variable assumptions". Am J Epidemiol, v. 176
    Doi: http://doi.org/10.1093/aje/kws249
  • Burgess, S., Butterworth, A., Malarstig, A. and Thompson, SG., 2012. Use of Mendelian randomisation to assess potential benefit of clinical intervention. BMJ, v. 345
    Doi: http://doi.org/10.1136/bmj.e7325
  • 2011

  • Burgess, S., Seaman, S., Lawlor, DA., Casas, JP. and Thompson, SG., 2011. Missing Data Methods in Mendelian Randomization Studies With Multiple Instruments AM J EPIDEMIOL, v. 174
    Doi: http://doi.org/10.1093/aje/kwr235
  • Wensley, F., Gao, P., Burgess, S., Kaptoge, S., Di Angelantonio, E., Shah, T., Engert, JC., Clarke, R., Davey-Smith, G., Nordestgaard, BG., Saleheen, D., Samani, NJ., Sandhu, M., Anand, S., Pepys, MB., Smeeth, L., Whittaker, J., Casas, JP., Thompson, SG., Hingorani, AD., Danesh, J., Eiriksdottir, G., Harris, TB., Launer, LJ., Gudnason, V., Folsom, AR., Andrews, G., Ballantyne, CM., Samani, NJ., Hall, AS., Braund, PS., Balmforth, AJ., Whincup, PH., Morris, R., Lawlor, DA., Lowe, GDO., Timpson, N., Ebrahim, S., Ben-Shlomo, Y., Davey-Smith, G., Timpson, N., Nordestgaard, BG., Tybjaerg-Hansen, A., Zacho, J., Brown, M., Sandhu, M., Ricketts, SL., Ashford, S., Lange, L., Reiner, A., Cushman, M., Tracy, R., Wu, C., Ge, J., Zou, Y., Sun, A., Hung, J., McQuillan, B., Thompson, P., Beilby, J., Warrington, N., Palmer, LJ., Wanner, C., Drechsler, C., Hoffmann, MM., Fowkes, FGR., Lowe, GDO., Tzoulaki, I., Kumari, M., Miller, M., Marmot, M., Onland-Moret, C., van der Schouw, YT., Boer, JM., Wijmenga, C., Ricketts, L., Ashford, S., Sandhu, M., Khaw, KT., Vasan, RS., Schnabel, RB., Yamamoto, JF., Benjamin, EJ., Schunkert, H., Erdmann, J., Konig, IR., Hengstenberg, C., Chiodini, B., Franzosi, MG., Pietri, S., Gori, F., Rudock, M., Liu, Y., Lohman, K., Harris, TB., Humphries, SE., Hamsten, A., Norman, PE., Hankey, GJ., Jamrozik, K., Palmer, LJ., Rimm, EB., Pai, JK., Psaty, BM., Heckbert, SR., Bis, JC., Yusuf, S., Anand, S., Engert, JC., Xie, C., Collins, R., Clarke, R., Bennett, D., Kooner, J., Chambers, J., Elliott, P., Marz, W., Kleber, ME., Bohm, BO., Winkelmann, BR., Melander, O., Berglund, G., Koenig, W., Thorand, B., Baumert, J., Peters, A., Rimm, EB., Manson, J., Pai, JK., Humphries, SE., Cooper, JA., Talmud, PJ., Ladenvall, P., Johansson, L., Jansson, JH., Hallmans, G., Reilly, MP., Qu, L., Li, M., Rader, DJ., Watkins, H., Clarke, R., Hopewell, J., Saleheen, D., Danesh, J., Frossard, P., Sattar, N., Robertson, M., Shepherd, J., Schaefer, E., Hofman, A., Witteman, JCM., Kardys, I., Dehghan, A., de Faire, U., Bennet, A., Gigante, B., Leander, K., Ben-Shlomo, Y., Davey-Smith, G., Timpson, N., Peters, B., Maitland-van der Zee, AH., de Boer, A., Klungel, O., Reiner, A., Manson, J., Greenland, P., Dai, J., Liu, S., Kumari, M., Brunner, E., Kivimaki, M., Marmot, M., Sattar, N., O'Reilly, D., Ford, I., Packard, CJ., C Reactive Prot Coronary Heart Dis, , AGES, , ARIC, , BHF-FHS, , BRHS, , BWHHS, , CAPS, , CCHS CGPS CIHDS, , CHAOS, , CHS, , CRPHANS, , CUDAS CUPID, , 4D, , EAS, , ELSA, , EPICNL, , EPICNOR, , FRAMOFF, , GERMIFS, , GISSI-P, , HEALTHABC, , HIFMECH, , HIMS, , HPFS, , HVHS, , INTERHEART, , ISIS, , LOLIPOP, , LURIC, , MALMO, , MONICAKORA, , NHS, , NPHSII, , NSC, , PENNCATH, , PROCARDIS, , PROMIS, , PROSPER, , ROTTERDAM, , SHEEP, , SPEED, , UCP, , WHIOS, , WHITEII, and WOSCOPS, , 2011. Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data BRIT MED J, v. 342
    Doi: http://doi.org/10.1136/bmj.d548
  • Burgess, S. and Thompson, SG., 2011. Bias in causal estimates from Mendelian randomization studies with weak instruments. Stat Med, v. 30
    Doi: http://doi.org/10.1002/sim.4197
  • Burgess, S., Thompson, SG. and CRP CHD Genetics Collaboration, , 2011. Avoiding bias from weak instruments in Mendelian randomization studies. Int J Epidemiol, v. 40
    Doi: http://doi.org/10.1093/ije/dyr036
  • 2010

  • Burgess, S., Thompson, SG., CRP CHD Genetics Collaboration, , Burgess, S., Thompson, SG., Andrews, G., Samani, NJ., Hall, A., Whincup, P., Morris, R., Lawlor, DA., Davey Smith, G., Timpson, N., Ebrahim, S., Ben-Shlomo, Y., Davey Smith, G., Timpson, N., Brown, M., Ricketts, S., Sandhu, M., Reiner, A., Psaty, B., Lange, L., Cushman, M., Hung, J., Thompson, P., Beilby, J., Warrington, N., Palmer, LJ., Nordestgaard, BG., Tybjaerg-Hansen, A., Zacho, J., Wu, C., Lowe, G., Tzoulaki, I., Kumari, M., Sandhu, M., Yamamoto, JF., Chiodini, B., Franzosi, M., Hankey, GJ., Jamrozik, K., Palmer, L., Rimm, E., Pai, J., Psaty, B., Heckbert, S., Bis, J., Anand, S., Engert, J., Collins, R., Clarke, R., Melander, O., Berglund, G., Ladenvall, P., Johansson, L., Jansson, J-H., Hallmans, G., Hingorani, A., Humphries, S., Rimm, E., Manson, J., Pai, J., Watkins, H., Clarke, R., Hopewell, J., Saleheen, D., Frossard, R., Danesh, J., Sattar, N., Robertson, M., Shepherd, J., Schaefer, E., Hofman, A., Witteman, JCM., Kardys, I., Ben-Shlomo, Y., Davey Smith, G., Timpson, N., de Faire, U., Bennet, A., Sattar, N., Ford, I., Packard, C., Kumari, M., Manson, J., Lawlor, DA., Davey Smith, G., Anand, S., Collins, R., Casas, JP., Danesh, J., Davey Smith, G., Franzosi, M., Hingorani, A., Lawlor, DA., Manson, J., Nordestgaard, BG., Samani, NJ., Sandhu, M., Smeeth, L., Wensley, F., Anand, S., Bowden, J., Burgess, S., Casas, JP., Di Angelantonio, E., Engert, J., Gao, P., Shah, T., Smeeth, L., Thompson, SG., Verzilli, C., Walker, M., Whittaker, J., Hingorani, A. and Danesh, J., 2010. Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables. Stat Med, v. 29
    Doi: http://doi.org/10.1002/sim.3843
  • Other publications

    2023

  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table S1 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710594
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table S4 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710585.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table S2 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710591
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table 1 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710597
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Figure 1 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710606.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table S1 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710594.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Data from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.c.6960608.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Figure S2 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710600.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table S3 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710588
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Figure S2 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710600
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table S3 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710588.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Figure S1 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710603.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table 1 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710597.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Data from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.c.6960608
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Figure 1 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710606
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Figure S1 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710603
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table S2 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710591.v1
  • Larsson, SC., Höijer, J., Sun, J., Li, X., Burgess, S. and Michaëlsson, K., 2023. Table S4 from Genome-Wide Association and Two-Sample Mendelian Randomization Analyses of Plasma Ghrelin and Gastrointestinal Cancer Risk
    Doi: http://doi.org/10.1158/1055-9965.24710585
  • 2022

  • Stacey, D., Chen, L., Stanczyk, PJ., Howson, JMM., Mason, AM., Burgess, S., MacDonald, S., Langdown, J., McKinney, H., Downes, K., Farahi, N., Peters, JE., Basu, S., Pankow, JS., Tang, W., Pankratz, N., Sabater-Lleal, M., de Vries, PS., Smith, NL., CHARGE Hemostasis Working Group, , Gelinas, AD., Schneider, DJ., Janjic, N., Samani, NJ., Ye, S., Summers, C., Chilvers, ER., Danesh, J. and Paul, DS., 2022. Publisher Correction: Elucidating mechanisms of genetic cross-disease associations at the PROCR vascular disease locus. Nat Commun, v. 13
    Doi: http://doi.org/10.1038/s41467-022-29641-6
  • Burgess, S., 2022. “C‐reactive protein levels and risk of dementia”: Subgroup analyses in Mendelian randomization are likely to be misleading Alzheimer's &amp; Dementia, v. 18
    Doi: 10.1002/alz.12743
  • Conference proceedings

    2023

  • Abraham, A., Cule, M., Thanaj, M., Basty, N., Hashemloo, MA., Sorokin, E., Burgess, S., Sattar, N., Thomas, EL. and Yaghootkar, H., 2023. Genetic evidence for distinct biological mechanisms that link adiposity to type 2 diabetes: Towards precision medicine DIABETIC MEDICINE, v. 40
  • 2022

  • Grant, AJ., Gill, D., Kirk, PDW. and Burgess, S., 2022. A noise-augmented directional clustering approach for identifying distinct mechanisms underlying genetic associations HUMAN HEREDITY, v. VOL.
  • 2021

  • DePaolo, J., Levin, M., Tcheandjieu, C., Priest, J., Dipender, G., Burgess, S., Damrauer, S. and Chirinos, JA., 2021. Abstract 14134: Relationship Between Blood Pressure and Thoracic Aortic Diameter Circulation, v. 144
    Doi: http://doi.org/10.1161/circ.144.suppl_1.14134
  • Mason, A. and Burgess, S., 2021. Non-linear Mendelian Randomisation on Partly Summarized Data: Evaluation of a Collaborative Method GENETIC EPIDEMIOLOGY, v. 45
  • Jiang, T., Gill, D., Butterworth, A. and Burgess, S., 2021. Assessing the Impact of Winner's Curse on Mendelian Randomisation GENETIC EPIDEMIOLOGY, v. 45
  • Fatima, T., Borne, Y., Dehlin, M., Burgess, S., Mason, A., Jacobsson, LTH. and Kapetanovic, MC., 2021. NO CAUSAL EFFECTS OF GENETICALLY DETERMINED SERUM URATE LEVELS ON THE RISK OF ALL-CAUSE AND SITE-SPECIFIC CANCER: A MENDELIAN RANDOMIZATION STUDY ANNALS OF THE RHEUMATIC DISEASES, v. 80
    Doi: http://doi.org/10.1136/annrheumdis-2021-eular.2416
  • Verhoef, E., Grove, J., Shapland, CY., Demontis, D., Burgess, S., Rai, D., Borglum, AD. and St Pourcain, B., 2021. Shared Risk Alleles with Discordant Polygenic Effects: Disentangling the Genetic Overlap between ASD and ADHD HUMAN HEREDITY, v. 85
  • Hall, I., Burgess, S., Nazareth, I. and Horsfall, LJ., 2021. GENETICALLY RAISED SERUM URATE AND LUNG CANCER: A COHORT STUDY AND MENDELIAN RANDOMISATION USING UK BIOBANK THORAX, v. 76
    Doi: http://doi.org/10.1136/thorax-2020-BTSabstracts.88
  • Kuan, V., Warwick, A., Hingorani, A., Tufail, A., Cipriani, V., Burgess, S. and Sofat, R., 2021. Effects of smoking, alcohol, blood pressure, body mass index and glycaemic risk factors on advanced age-related macular degeneration: a mendelian randomisation study INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, v. 62
  • 2020

  • Milne, S., Obeidat, M., Hernandez, AI., Sin, DD., Mason, AM. and Burgess, S., 2020. The Causal Effect of Body Mass Index on Mortality in COPD: Investigating the "Obesity Paradox" Using Non-Linear Mendelian Randomization AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, v. 201
  • Khandaker, G., Burgess, S. and Jones, P., 2020. The Interleukin 6/Interleukin 6 Receptor Pathway as a Potential Treatment Target for Depression BIOLOGICAL PSYCHIATRY, v. 87
  • 2019

  • Horsfall, L., Burgess, S., Hall, I. and Nazareth, I., 2019. Genetically raised serum bilirubin levels and respiratory cancer: a cohort study using UK Biobank BRITISH JOURNAL OF CANCER, v. 121
  • Horsfall, LJ., Burgess, S., Hall, I. and Nazareth, I., 2019. The relationship between genetically raised bilirubin and respiratory cancer: a UK Biobank study EUROPEAN JOURNAL OF HUMAN GENETICS, v. 27
  • Lotta, LA., Stewart, I., Sharp, S., Day, F., Burgess, S., Luan, J., Cai, L., Wittemans, L., Kerrison, N., Khaw, K., McCarthy, M., O'Rahilly, S., Scott, R., Savage, D., Perry, J., Langenberg, C. and Wareham, N., 2019. Variation in the LPL gene, low density lipoprotein-cholesterol lowering alleles and risk of coronary disease and type 2 diabetes EUROPEAN JOURNAL OF HUMAN GENETICS, v. 27
  • Verhoef, E., Demontis, D., Burgess, S., Shapland, CY., Neale, BM., Faraone, SV., Viechtbauer, W., Stergiakouli, E., Smith, GD., Fisher, SE., Borglum, AD., St Pourcain, B., Consortium, P-I. and SSGAC, , 2019. POLYGENIC RISK FOR ADHD IS ASSOCIATED WITH READING AND SPELLING RELATED TRAITS BEYOND PLEIOTROPIC EFFECTS DUE TO EDUCATIONAL ATTAINMENT EUROPEAN NEUROPSYCHOPHARMACOLOGY, v. 29
    Doi: http://doi.org/10.1016/j.euroneuro.2017.08.052
  • Verhoef, E., Grove, J., Shapland, CY., Demontis, D., Burgess, S., Smith, GD., Rai, D., Fisher, SE., Borglum, AD., St Pourcain, B. and Consortium, I-B-PASD., 2019. OPPOSITE GENETIC EFFECTS FOR POLYGENIC ASD RISK SHARED WITH AND INDEPENDENT OF ADHD: EVIDENCE FOR A CANCELLING-OUT HYPOTHESIS STUDYING GENETIC OVERLAP WITH LANGUAGE AND LITERACY EUROPEAN NEUROPSYCHOPHARMACOLOGY, v. 29
    Doi: http://doi.org/10.1016/j.euroneuro.2018.08.042
  • Horsfall, L., Burgess, S., Hall, I. and Nazareth, I., 2019. Genetic and environmental factors linked with oxidant-antioxidant balance and their relationship with respiratory health in UK Biobank EUROPEAN RESPIRATORY JOURNAL, v. 54
    Doi: http://doi.org/10.1183/13993003.congress-2019.PA5397
  • Paul, DS., Stacey, D., Chen, L., Howson, JM., Mason, AM., Burgess, S., Danesh, J., BioResource, NIHR., INVENT, , Study, ARIC. and Study, INTERVAL., 2019. Integrative Epidemiological and Functional Analyses Identify Protein C as a Novel, Causal Factor in Arterial and Venous Disease CIRCULATION, v. 140
  • St Pourcain, B., Grove, J., Shapland, CY., Demontis, D., Burgess, S., Rai, D., Borglum, A. and Verhoef, E., 2019. Shared polygenetic variation between ASD and ADHD exerts opposite association patterns with educational attainment BEHAVIOR GENETICS, v. 49
  • 2017

  • Staley, JR. and Burgess, S., 2017. Semiparametric Methods for Estimation of a non-Linear Exposure-Outcome Relationship Using Instrumental Variables in Mendelian Randomization GENETIC EPIDEMIOLOGY, v. 41
  • Obeidat, M., Zhou, G., Li, X., Burgess, S., Fishbane, N., Hansel, NN., Bosse, Y., Joubert, P., Hao, K., Nickle, D., Postma, DS., Timens, W., Rafaels, N., Mathias, R., Ruczinski, I., Beaty, T., Barnes, K., Pare, PD. and Sin, DD., 2017. Club Cell Secretory Protein 16 (cc16) Is Causally Related To Lung Function Decline In Individuals With Chronic Obstructive Pulmonary Disease Using Integrative Genomics AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, v. 195
  • Ramond, A., Freitag, D., Staley, J., Butterworth, A., Burgess, S. and Di Angelantonio, E., 2017. Understanding the Causal Effects of Iron Metabolism on Chronic Disease Outcomes Using Mendelian Randomization GENETIC EPIDEMIOLOGY, v. 41
  • Foley, CN. and Burgess, S., 2017. Demystifying Causal Effect Heterogeneity of Composite Risk-Factors in Multi-Instrument Mendelian Randomisation Studies Using a Novel Bayesian Feature Selection Algorithm GENETIC EPIDEMIOLOGY, v. 41
  • Gkatzionis, A., Burgess, S. and Newcombe, PJ., 2017. Bayesian Model Averaging to Derive Multi-SNP Mendelian Randomization Instruments from Meta-GWAS Summary Statistics GENETIC EPIDEMIOLOGY, v. 41
  • Internet publications

    2022

  • Mayerhofer, E., Malik, R., Parodi, L., Burgess, S., Harloff, A., Dichgans, M., Rosand, J., Anderson, CD. and Georgakis, MK., 2022. Genetically predicted on-statin LDL response is associated with higher intracerebral hemorrhage risk
    Doi: 10.1101/2022.03.22.22272697
  • Tian, H. and Burgess, S., 2022. Estimation of time-varying causal effects with multivariable Mendelian randomization: some cautionary notes
    Doi: http://doi.org/10.1101/2022.03.16.22272492
  • 2021

  • Hernáez, Á., Wootton, R., Page, C., Skåra, K., Fraser, A., Rogne, T., Magnus, P., Njølstad, P., Andreassen, O., Burgess, S., Lawlor, D. and Magnus, MC., 2021. Smoking and subfertility: multivariable regression and Mendelian randomization analyses in the Norwegian Mother, Father and Child Cohort Study
    Doi: http://doi.org/10.1101/2021.10.25.21265469
  • Mason, A. and Burgess, S., 2021. Software Application Profile: SUMnlmr, an R package that facilitates flexible and reproducible non-linear Mendelian randomisation analyses
    Doi: http://doi.org/10.1101/2021.12.10.21267623
  • 2020

  • Akbari, P., Vuckovic, D., Jiang, T., Kundu, K., Kreuzhuber, R., Bao, E., Mayer, L., Collins, J., Downes, K., Georges, M., Grassi, L., Guerrero, J., Kaptoge, S., Knight, J., Meacham, S., Sambrook, J., Seyres, D., Stegle, O., Verboon, J., Walter, K., Watkins, N., Danesh, J., Roberts, D., Di Angelantonio, E., Sankaran, V., Frontini, M., Burgess, S., Kuijpers, T., Peters, J., Butterworth, A., Ouwehand, W., Soranzo, N. and Astle, W., 2020. Genetic Analyses of Blood Cell Structure for Biological and Pharmacological Inference
    Doi: http://doi.org/10.1101/2020.01.30.927483
  • 2019

  • Allara, E., Morani, G., Carter, P., Gkatzionis, A., Zuber, V., Foley, C., Rees, JMB., Mason, A., Bell, S., Gill, D., Butterworth, A., Angelantonio, ED., Peters, J. and Burgess, S., 2019. Genetic determinants of lipids and cardiovascular disease outcomes: a wide-angled Mendelian randomization investigation
    Doi: http://doi.org/10.1101/668970
  • 2018

  • Kar, S., Andrulis, I., Brenner, H., Burgess, S., Chang-Claude, J., Considine, D., Dörk, T., Evans, G., Gago-Domínguez, M., Giles, G., Hartman, M., Huo, D., Kaaks, R., Li, J., Lophatananon, A., Margolin, S., Milne, R., Muir, K., Olsson, H., Punie, K., Radice, P., Simard, J., Tamimi, R., Nieuwenhuysen, EV., Wendt, C., Zheng, W. and Pharoah, P., 2018. The association between weight at birth and breast cancer risk revisited using Mendelian randomisation
    Doi: http://doi.org/10.1101/464115
  • Theses / dissertations

    2021 (No publication date)

  • Yang, Z., 2021 (No publication date). Association of blood lipids, atherosclerosis and statin use with dementia after stroke
  • 2013 (No publication date)

  • Burgess, S., 2013 (No publication date). Statistical issues in Mendelian randomization: use of genetic instrumental variables for assessing causal associations
  • Working papers

    2021

  • Zuber, V., Cameron, A., Myserlis, EP., Bottolo, L., Fernandez-Cadenas, I., Burgess, S., Anderson, CD., Dawson, J. and Gill, D., 2021. Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke. medRxiv,
    Doi: http://doi.org/10.1101/2021.02.25.21252441
  • 2020

  • Burgess, S., Davey Smith, G., Davies, N., Dudbridge, F., Gill, D., Glymour, M., Hartwig, F., Holmes, M., Minelli, C., Relton, C. and Theodoratou, E., 2020. Guidelines for performing Mendelian randomization investigations
    Doi: http://doi.org/10.12688/wellcomeopenres.15555.2
  • Ritchie, SC., Liu, Y., Lambert, SA., Drew, BG., Calkin, AC., Butterworth, AS., Danesh, J. and Inouye, M., 2020. Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic disease EUROPEAN JOURNAL OF HUMAN GENETICS, v. 28
  • Carter, P., Vithayathil, M., Kar, S., Potluri, R., Mason, AM., Larsson, SC. and Burgess, S., 2020. Predicting the effect of statins on cancer risk using genetic variants: a Mendelian randomization study in UK Biobank
    Doi: 10.1101/2020.02.28.20028902
  • Gill, D., Arvanitis, M., Carter, P., Hernández Cordero, AI., Jo, B., Karhunen, V., Larsson, SC., Li, X., Lockhart, SM., Mason, A., Pashos, E., Saha, A., Tan, VY., Zuber, V., Bossé, Y., Fahle, S., Hao, K., Jiang, T., Joubert, P., Lunt, AC., Ouwehand, WH., Roberts, DJ., Timens, W., van den Berge, M., Watkins, NA., Battle, A., Butterworth, AS., Danesh, J., Engelhardt, BE., Peters, JE., Sin, DD. and Burgess, S., 2020. ACE inhibition and cardiometabolic risk factors, lung <i>ACE2</i> and <i>TMPRSS2</i> gene expression, and plasma ACE2 levels: a Mendelian randomization study
    Doi: 10.1101/2020.04.10.20059121
  • Xu, ZM. and Burgess, S., 2020. Polygenic modelling of treatment effect heterogeneity
    Doi: 10.1101/2020.01.06.20016618
  • Zuber, V., Gill, D., Ala-Korpela, M., Langenberg, C., Butterworth, A., Bottolo, L. and Burgess, S., 2020. High-throughput multivariable Mendelian randomization analysis prioritizes apolipoprotein B as key lipid risk factor for coronary artery disease
    Doi: http://doi.org/10.1101/2020.02.10.20021691
  • 2019

  • Gill, D., Cameron, AC., Burgess, S., Li, X., Doherty, DJ., Karhunen, V., Abdul-Rahim, AH., Taylor-Rowan, M., Zuber, V., Tsao, PS., Klarin, D., Evangelou, E., Elliott, P., Damrauer, SM., Quinn, TJ., Dehghan, A., Theodoratou, E., Dawson, J. and Tzoulaki, I., 2019. Urate, blood pressure and cardiovascular disease: updated evidence from Mendelian randomization and meta-analysis of clinical trials
    Doi: 10.1101/2019.12.11.19014472
  • 2018

  • Burgess, S. and Labrecque, JA., 2018. Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates. Eur J Epidemiol, v. 33
    Doi: http://doi.org/10.1007/s10654-018-0424-6
  • 2016

  • Burgess, S., Bowden, J., Dudbridge, F. and Thompson, SG., 2016. Robust instrumental variable methods using multiple candidate instruments with application to Mendelian randomization
  • 2015

  • Burgess, S. and Bowden, J., 2015. Integrating summarized data from multiple genetic variants in Mendelian randomization: bias and coverage properties of inverse-variance weighted methods
  • Book chapters

    2019

  • Burgess, S., Foley, CN. and Zuber, V., 2019. Inferring causal relationships between risk factors and outcomes using genetic variation
    Doi: http://doi.org/10.1002/9781119487845.ch23
  • 2015

  • 2015. Future directions
    Doi: http://doi.org/10.1201/b18084-18
  • 2015. Examples of Mendelian randomization analysis
    Doi: http://doi.org/10.1201/b18084-10
  • 2015. Example: The CRP CHD Genetics Collaboration
    Doi: http://doi.org/10.1201/b18084-16
  • 2015. Assumptions for causal inference
    Doi: http://doi.org/10.1201/b18084-8
  • 2015. Weak instruments and finite-sample bias
    Doi: http://doi.org/10.1201/b18084-13
  • 2015. Multiple studies and evidence synthesis
    Doi: http://doi.org/10.1201/b18084-15
  • 2015. What is Mendelian randomization?
    Doi: http://doi.org/10.1201/b18084-7
  • 2015. Multiple instruments and power
    Doi: http://doi.org/10.1201/b18084-14
  • 2015. Methods for instrumental variable analysis
    Doi: http://doi.org/10.1201/b18084-9
  • 2015. Introduction and motivation
    Doi: http://doi.org/10.1201/b18084-6
  • 2015. Generalizability of estimates from Mendelian randomization
    Doi: http://doi.org/10.1201/b18084-11
  • Books

    2015

  • Burgess, S. and Thompson, SG., 2015. Mendelian randomization: Methods for using genetic variants in causal estimation
    Doi: http://doi.org/10.1201/b18084