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Evaluating the potential role of pleiotropy in Mendelian randomization studies

Human molecular genetics, 2018-08, Vol.27 (R2), p.R195-R208

2018

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Orienting the causal relationship between imprecisely measured traits using GWAS summary data

PLoS genetics, 2017-11, Vol.13 (11), p.e1007081-e1007081

2017

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

American journal of epidemiology, 2018-12, Vol.187 (12), p.2681-2685

2018

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

International journal of epidemiology, 2019-06, Vol.48 (3), p.713-727

2019

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Post–Modern Epidemiology: When Methods Meet Matter

American journal of epidemiology, 2019-08, Vol.188 (8), p.1410-1419

Davey Smith, George

2019

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On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1339-1350

2019

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Genetic epidemiology and Mendelian randomization for informing disease therapeutics: Conceptual and methodological challenges

PLoS genetics, 2017-10, Vol.13 (10), p.e1006944-e1006944

2017

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Collider bias undermines our understanding of COVID-19 disease risk and severity

Nature communications, 2020-11, Vol.11 (1), p.5749-5749, Article 5749

2020

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Use of genetic variation to separate the effects of early and later life adiposity on disease risk: mendelian randomisation study

BMJ (Online), 2020-05, Vol.369, p.m1203

2020

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Reduction in saturated fat intake for cardiovascular disease

Cochrane database of systematic reviews, 2015-06 (6), p.CD011737-CD011737

2015

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Mendelian Randomization: New Applications in the Coming Age of Hypothesis-Free Causality

Annual review of genomics and human genetics, 2015-08, Vol.16 (1), p.327-350

2015

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

Statistics in medicine, 2017-05, Vol.36 (11), p.1783-1802

2017

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Mendel’s laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues

European journal of epidemiology, 2020-02, Vol.35 (2), p.99-111

2020

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

International journal of epidemiology, 2018-08, Vol.47 (4), p.1264-1278

2018

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An atlas of polygenic risk score associations to highlight putative causal relationships across the human phenome

eLife, 2019-03, Vol.8

2019

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Covid-19's known unknowns

BMJ (Online), 2020-10, Vol.371, p.m3979

2020

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Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease

International journal of epidemiology, 2012-02, Vol.41 (1), p.161-176

2012

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Genetic Support for a Causal Role of Insulin Resistance on Circulating Branched-Chain Amino Acids and Inflammation

Diabetes care, 2017-12, Vol.40 (12), p.1779-1786

2017

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Collider scope: when selection bias can substantially influence observed associations

International journal of epidemiology, 2018-02, Vol.47 (1), p.226-235

2018

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DNA methylation-based predictors of health: applications and statistical considerations

Nature reviews. Genetics, 2022-06, Vol.23 (6), p.369

2022

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Genetic predictors of participation in optional components of UK Biobank

Nature communications, 2021-02, Vol.12 (1), p.886-886, Article 886

2021

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Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes

The New England journal of medicine, 2016-12, Vol.375 (22), p.2144-2153

2016

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

PLoS medicine, 2020-03, Vol.17 (3), p.e1003062-e1003062

2020

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AHRR (cg05575921) hypomethylation marks smoking behaviour, morbidity and mortality

Thorax, 2017-07, Vol.72 (7), p.646

2017

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Evaluating the potential role of pleiotropy in Mendelian randomization studies

Orienting the causal relationship between imprecisely measured traits using GWAS summary data

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

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

Post–Modern Epidemiology: When Methods Meet Matter

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments

Genetic epidemiology and Mendelian randomization for informing disease therapeutics: Conceptual and methodological challenges

Collider bias undermines our understanding of COVID-19 disease risk and severity

Use of genetic variation to separate the effects of early and later life adiposity on disease risk: mendelian randomisation study

Reduction in saturated fat intake for cardiovascular disease

Mendelian Randomization: New Applications in the Coming Age of Hypothesis-Free Causality

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

Mendel’s laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues

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

An atlas of polygenic risk score associations to highlight putative causal relationships across the human phenome

Covid-19's known unknowns

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

Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease

Genetic Support for a Causal Role of Insulin Resistance on Circulating Branched-Chain Amino Acids and Inflammation

Collider scope: when selection bias can substantially influence observed associations

DNA methylation-based predictors of health: applications and statistical considerations

Genetic predictors of participation in optional components of UK Biobank

Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes

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

AHRR (cg05575921) hypomethylation marks smoking behaviour, morbidity and mortality

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