Burgess, Stephen

Use of allele scores as instrumental variables for Mendelian randomization

Burgess, S., & Thompson, S. G. (2013) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 452

Body mass index and body composition in relation to 14 cardiovascular conditions in UK Biobank: a Mendelian randomization study

Larsson, S. C., Bäck, M., Rees, J. M. B., Mason, A. M., & Burgess, S. (2020) · European Heart Journal

Genetic Associations and EpidemiologyCardiovascular Disease and Adiposity

Cited by 436

Bias in causal estimates from Mendelian randomization studies with weak instruments

Burgess, S., & Thompson, S. G. (2011) · Statistics in Medicine

Advanced Causal Inference TechniquesGenetic Associations and Epidemiology

Cited by 421

Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis

Lotta, L. A., Scott, R. A., Sharp, S. J., Burgess, S., Luan, J., Tillin, T., Schmidt, A. F., Imamura, F., Stewart, I. D., Perry, J. R. B., et al. (2016) · PLOS Medicine

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 417

Association Between Low-Density Lipoprotein Cholesterol–Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis

Lotta, L. A., Sharp, S. J., Burgess, S., Perry, J. R. B., Stewart, I. D., Willems, S. M., Luan, J., Ardanaz, E., Arriola, L., Balkau, B., et al. (2016) · JAMA

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 394

Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis

Larsson, S. C., Traylor, M., Malik, R., Dichgans, M., Burgess, S., & Markus, H. S. (2017) · BMJ

Dementia and Cognitive Impairment ResearchGenetic Associations and Epidemiology

Cited by 382

Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis

Kar, S. P., Quiros, P. M., Gu, M., Jiang, T., Mitchell, J., Langdon, R., Iyer, V., Barcena, C., Vijayabaskar, M. S., Fabre, M. A., et al. (2022) · Nature Genetics

Acute Myeloid Leukemia ResearchGenetic Associations and Epidemiology

Cited by 377

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

CHARGE-Heart Failure Consortium, Surendran, P., EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Study, L. C., Wellcome Trust Case Control Consortium, Understanding Society Scientific Group, EPIC-CVD Consortium, et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 312

Use of Mendelian randomisation to assess potential benefit of clinical intervention.

Burgess, S., Butterworth, A., Malarstig, A., & Thompson, S. G. (2012) · BMJ

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 292

Semiparametric methods for estimation of a nonlinear exposure‐outcome relationship using instrumental variables with application to Mendelian randomization

Staley, J. R., & Burgess, S. (2017) · Genetic Epidemiology

Advanced Causal Inference TechniquesGenetic Associations and Epidemiology

Cited by 290

Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors

Lotta, L. A., Wittemans, L. B. L., Zuber, V., Stewart, I. D., Sharp, S. J., Luan, J., Day, F. R., Li, C., Bowker, N., Cai, L., et al. (2018) · JAMA

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 229

Gene–environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach

Warrier, V., Kwong, A. S. F., Luo, M., Dalvie, S., Croft, J., Sallis, H. M., Baldwin, J., Munafò, M. R., Nievergelt, C. M., Grant, A. J., et al. (2021) · The Lancet Psychiatry

Child Abuse and TraumaGenetic Associations and Epidemiology

Cited by 224

Dissecting Causal Pathways Using Mendelian Randomization with Summarized Genetic Data: Application to Age at Menarche and Risk of Breast Cancer.

Burgess, S., Thompson, D. J., Rees, J. M. B., Day, F. R., Perry, J. R., & Ong, K. K. (2017) · Genetics

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 197

Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses

Sun, Y.-Q., Burgess, S., Staley, J. R., Wood, A. M., Bell, S., Kaptoge, S. K., Guo, Q., Bolton, T. R., Mason, A. M., Butterworth, A. S., et al. (2019) · BMJ

Genetic Associations and EpidemiologyObesity, Physical Activity, Diet

Cited by 193

Associations of Immunological Proteins/Traits with Schizophrenia, Major Depression and Bipolar Disorder: A Bi-Directional Two-Sample Mendelian Randomization Study

Perry, B. I., Upthegrove, R., Kappelmann, N., Jones, P. B., Burgess, S., & Khandaker, G. M. (2021) · Brain, Behavior, and Immunity

Tryptophan and brain disordersGenetic Associations and Epidemiology

Cited by 187

BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization

Corbin, L. J., Richmond, R. C., Wade, K. H., Burgess, S., Bowden, J., Smith, G. D., & Timpson, N. J. (2016) · Diabetes

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 184

Triglyceride-rich lipoprotein remnants, low-density lipoproteins, and risk of coronary heart disease: a UK Biobank study

Björnson, E., Adiels, M., Taskinen, M.-R., Burgess, S., Rawshani, A., Borén, J., & Packard, C. J. (2023) · European Heart Journal

Lipoproteins and Cardiovascular HealthLipid metabolism and disorders

Cited by 183

Contextualizing selection bias in Mendelian randomization: how bad is it likely to be?

Gkatzionis, A., & Burgess, S. (2019) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 182

Lipid lowering and Alzheimer disease risk: A mendelian randomization study

Williams, D. M., Finan, C., Schmidt, A. F., Burgess, S., & Hingorani, A. D. (2020) · Annals of Neurology

Lipoproteins and Cardiovascular HealthAlzheimer's disease research and treatments

Cited by 157

The many weak instruments problem and Mendelian randomization

Davies, N. M., von Hinke Kessler Scholder, S., Farbmacher, H., Burgess, S., Windmeijer, F., & Smith, G. D. (2015) · Statistics in Medicine

Advanced Causal Inference TechniquesGenetic Associations and Epidemiology

Cited by 140

Association between a functional interleukin 6 receptor genetic variant and risk of depression and psychosis in a population-based birth cohort

Khandaker, G. M., Zammit, S., Burgess, S., Lewis, G., & Jones, P. B. (2018) · Brain, Behavior, and Immunity

Tryptophan and brain disordersGenetic Associations and Epidemiology

Cited by 118

Are Mendelian randomization investigations immune from bias due to reverse causation?

Burgess, S., Swanson, S. A., & Labrecque, J. A. (2021) · European Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 106

Improving bias and coverage in instrumental variable analysis with weak instruments for continuous and binary outcomes

Burgess, S., & Thompson, S. G. (2012) · Statistics in Medicine

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 87

Body mass index and breast cancer survival: a Mendelian randomization analysis

Guo, Q., Burgess, S., Turman, C., Bolla, M. K., Wang, Q., Lush, M., Abraham, J., Aittomäki, K., Andrulis, I. L., Apicella, C., et al. (2017) · International Journal of Epidemiology

Cancer Risks and FactorsGenetic Associations and Epidemiology

Cited by 64