Sanderson, Eleanor

Mendelian randomization

Sanderson, E., Glymour, M. M., Holmes, M. V., Kang, H., Morrison, J., Munafò, M. R., Palmer, T., Schooling, C. M., Wallace, C., Zhao, Q., et al. (2022) · Nature Reviews Methods Primers

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 2,229

Mendelian randomisation for mediation analysis: current methods and challenges for implementation

Carter, A. R., Sanderson, E., Hammerton, G., Richmond, R. C., Davey Smith, G., Heron, J., Taylor, A. E., Davies, N. M., & Howe, L. D. (2021) · European Journal of Epidemiology

Advanced Causal Inference TechniquesGenetic Associations and Epidemiology

Cited by 1,215

An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings

Sanderson, E., Davey Smith, G., Windmeijer, F., & Bowden, J. (2019) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,085

Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis

Richardson, T. G., Sanderson, E., Palmer, T. M., Ala-Korpela, M., Ference, B. A., Davey Smith, G., & Holmes, M. V. (2020) · PLOS Medicine

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 843

Can the impact of childhood adiposity on disease risk be reversed? A Mendelian randomization study.

Richardson, T. G., Sanderson, E., Elsworth, B., Tilling, K., & Davey Smith, G. (2019) · BMJ

Genetic Associations and EpidemiologyBirth, Development, and Health

Cited by 321

Multivariable two-sample Mendelian randomization estimates of the effects of intelligence and education on health

Davies, N. M., Hill, W. D., Anderson, E. L., Sanderson, E., Deary, I. J., & Davey Smith, G. (2019) · eLife

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 135

The use of negative control outcomes in Mendelian randomization to detect potential population stratification

Sanderson, E., Richardson, T. G., Hemani, G., & Davey Smith, G. (2021) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 115

Exploring and mitigating potential bias when genetic instrumental variables are associated with multiple non-exposure traits in Mendelian randomization

Yang, Q., Sanderson, E., Tilling, K., Borges, M. C., & Lawlor, D. A. (2019) · European Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 85

A weak instrument F-test in linear IV models with multiple endogenous variables

Sanderson, E., & Windmeijer, F. (2026)

Advanced Causal Inference TechniquesMonetary Policy and Economic Impact

Cited by 72

Interpretation of mendelian randomization using one measure of an exposure that varies over time

Morris, T. T., Heron, J., Sanderson, E., Smith, G. D., & Tilling, K. (2021) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 58

Using Genetic Instruments to Estimate Interactions in Mendelian Randomization Studies

North, T.-L., Davies, N. M., Harrison, S., Carter, A. R., Hemani, G., Sanderson, E., Tilling, K., & Howe, L. D. (2019) · Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 19

Interaction-based Mendelian randomization with measured and unmeasured gene-by-covariate interactions

Spiller, W., Hartwig, F. P., Sanderson, E., Smith, G. D., & Bowden, J. (2020) · PLoS ONE

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 15