Burgess, Stephen

Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression

Bowden, J., Davey Smith, G., & Burgess, S. (2015) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 9,816

Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator

Bowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 8,922

The MR-Base platform supports systematic causal inference across the human phenome

Hemani, G., Zheng, J., Elsworth, B., Wade, K. H., Haberland, V., Baird, D., Laurin, C., Burgess, S., Bowden, J., Langdon, R., et al. (2018) · eLife

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 7,959

Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data

Burgess, S., Butterworth, A., & Thompson, S. G. (2013) · Genetic Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 6,050

Interpreting findings from Mendelian randomization using the MR-Egger method.

Burgess, S., & Thompson, S. G. (2017) · European Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 4,571

Avoiding bias from weak instruments in Mendelian randomization studies

Burgess, S., Thompson, S. G., & CRP CHD Genetics Collaboration (2011) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 3,952

Genomic atlas of the human plasma proteome

Sun, B. B., Maranville, J. C., Peters, J. E., Stacey, D., Staley, J. R., Blackshaw, J., Burgess, S., Jiang, T., Paige, E., Surendran, P., et al. (2018) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 2,268

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants

Burgess, S., Bowden, J., Fall, T., Ingelsson, E., & Thompson, S. G. (2017) · Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 2,017

Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors

EPIC- InterAct Consortium, Burgess, S., Scott, R. A., Timpson, N. J., Davey Smith, G., & Thompson, S. G. (2015) · European Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,803

Bias due to participant overlap in two‐sample Mendelian randomization

Burgess, S., Davies, N. M., & Thompson, S. G. (2016) · Genetic Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,624

Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects.

Burgess, S., & Thompson, S. G. (2015) · American Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,605

PhenoScanner: a database of human genotype-phenotype associations.

Staley, J. R., Blackshaw, J., Kamat, M. A., Ellis, S., Surendran, P., Sun, B. B., Paul, D. S., Freitag, D., Burgess, S., Danesh, J., et al. (2016) · Bioinformatics

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 1,479

Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators.

Pierce, B. L., & Burgess, S. (2013) · American Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,389

Guidelines for performing Mendelian randomization investigations

Burgess, S., Davey Smith, G., Davies, N. M., Dudbridge, F., Gill, D., Glymour, M. M., Hartwig, F. P., Holmes, M. V., Minelli, C., Relton, C. L., et al. (2020) · Wellcome Open Research

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,273

Association of cardiometabolic multimorbidity with mortality

Di Angelantonio, E., Kaptoge, S., Wormser, D., Willeit, P., Butterworth, A. S., Bansal, N., O’Keeffe, L. M., Gao, P., Wood, A. M., Burgess, S., et al. (2015) · JAMA

Chronic Disease Management StrategiesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 1,155

Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods

Burgess, S., Dudbridge, F., & Thompson, S. G. (2016) · Statistics in Medicine

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,153

Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases.

Zheng, J., Haberland, V., Baird, D., Walker, V., Haycock, P., Hurle, M., Gutteridge, A., Erola, P., Liu, Y., Luo, S., et al. (2019) · Nature Genetics

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 812

Mendelian randomization for cardiovascular diseases: Principles and applications

Larsson, S. C., Butterworth, A. S., & Burgess, S. (2023) · European Heart Journal

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 735

Using human genetics to understand the disease impacts of testosterone in men and women

The Endometrial Cancer Association Consortium, Ruth, K. S., Day, F. R., Tyrrell, J., Thompson, D. J., Wood, A. R., Mahajan, A., Beaumont, R. N., Wittemans, L., Martin, S., et al. (2020) · Nature Medicine

Hormonal and reproductive studiesGenetic Associations and Epidemiology

Cited by 720

Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies: A Mendelian Randomization Analysis

Burgess, S., Ference, B. A., Staley, J. R., Freitag, D. F., Mason, A. M., Nielsen, S. F., Willeit, P., Young, R., Surendran, P., Karthikeyan, S., et al. (2018) · JAMA Cardiology

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 689

A robust and efficient method for Mendelian randomization with hundreds of genetic variants

Burgess, S., Foley, C. N., Allara, E., Staley, J. R., & Howson, J. M. M. (2020) · Nature Communications

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 681

Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates

Burgess, S., & Labrecque, J. A. (2018) · European Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 569

Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways.

Burgess, S., Daniel, R. M., Butterworth, A. S., Thompson, S. G., & the EPIC-InterAct Consortium (2015) · International Journal of Epidemiology

Advanced Causal Inference TechniquesGenetic Associations and Epidemiology

Cited by 543

Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches

Zuber, V., Grinberg, N. F., Gill, D., Manipur, I., Slob, E. A. W., Patel, A., Wallace, C., & Burgess, S. (2022) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 532