Bowden, Jack

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

Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption

Hartwig, F. P., Davey Smith, G., & Bowden, J. (2017) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 3,485

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

A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization

Bowden, J., Del Greco M, F., Minelli, C., Davey Smith, G., Sheehan, N., & Thompson, J. (2017) · Statistics in Medicine

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,887

Methods to estimate the between‐study variance and its uncertainty in meta‐analysis

Veroniki, A. A., Jackson, D., Viechtbauer, W., Bender, R., Bowden, J., Knapp, G., Kuss, O., Higgins, J. P., Langan, D., & Salanti, G. (2016) · Research Synthesis Methods

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,685

Evaluating the potential role of pleiotropy in Mendelian randomization studies

Hemani, G., Bowden, J., & Davey Smith, G. (2018) · Human Molecular Genetics

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,496

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

A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses

Langan, D., Higgins, J. P. T., Jackson, D., Bowden, J., Veroniki, A. A., Kontopantelis, E., Viechtbauer, W., & Simmonds, M. (2019) · Research Synthesis Methods

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,074

Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption

Bowden, J., Del Greco M, F., Minelli, C., Zhao, Q., Lawlor, D. A., Sheehan, N. A., Thompson, J., & Davey Smith, G. (2019) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 995

Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression

Bowden, J., Spiller, W., Del Greco M, F., Sheehan, N., Thompson, J., Minelli, C., & Davey Smith, G. (2018) · International Journal of Epidemiology

Genetic Associations and EpidemiologyMeta-analysis and systematic reviews

Cited by 880

Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms

Jones, S. E., Lane, J. M., Wood, A. R., van Hees, V. T., Tyrrell, J., Beaumont, R. N., Jeffries, A. R., Dashti, H. S., Hillsdon, M., Ruth, K. S., et al. (2019) · Nature Communications

Circadian rhythm and melatoninGenetic Associations and Epidemiology

Cited by 691

GWAS in 446,118 European adults identifies 78 genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates

Dashti, H. S., Jones, S. E., Wood, A. R., Lane, J. M., van Hees, V. T., Wang, H., Rhodes, J. A., Song, Y., Patel, K., Anderson, S. G., et al. (2018) · Nature Communications

Sleep and related disordersGenetic Associations and Epidemiology

Cited by 614

Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization-A Job for the Humble Heterogeneity Statistic?

Bowden, J., Hemani, G., & Davey Smith, G. (2018) · American Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 251

How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?

Jackson, D., Bowden, J., & Baker, R. (2010) · Journal of Statistical Planning and Inference

Meta-analysis and systematic reviewsStatistical Methods and Bayesian Inference

Cited by 226

Education and coronary heart disease: mendelian randomisation study

Tillmann, T., Vaucher, J., Okbay, A., Pikhart, H., Peasey, A., Kubinova, R., Pajak, A., Tamosiunas, A., Malyutina, S., Hartwig, F. P., et al. (2017) · BMJ

Genetic Associations and EpidemiologyCardiovascular Health and Risk Factors

Cited by 225

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

Detecting and correcting for bias in Mendelian randomization analyses using Gene-by-Environment interactions.

Spiller, W., Slichter, D., Bowden, J., & Davey Smith, G. (2018) · International Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 90

Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome

Hemani, G., Bowden, J., Haycock, P., Zheng, J., Davis, O., Flach, P., Gaunt, T., & Smith, G. D. (2017) · bioRxiv (Cold Spring Harbor Laboratory)

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 85

Mid‐life leukocyte telomere length and dementia risk: An observational and mendelian randomization study of 435,046 UK Biobank participants

Liu, R., Xiang, M., Pilling, L. C., Melzer, D., Wang, L., Manning, K. J., Steffens, D. C., Bowden, J., Fortinsky, R. H., Kuchel, G. A., et al. (2023) · Aging Cell

Dementia and Cognitive Impairment ResearchTelomeres, Telomerase, and Senescence

Cited by 33

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

Understanding the causes and consequences of low statin adherence: evidence from UK Biobank primary care data

Türkmen, D., Liang, X., Masoli, J. A. H., Gill, D., Pilling, L. C., & Bowden, J. (2025) · BMC Medicine

Medication Adherence and ComplianceLipoproteins and Cardiovascular Health

Cited by 6