Selecting instruments for Mendelian randomization in the wake of genome-wide association studies

被引:267
作者
Swerdlow, Daniel I. [1 ,2 ]
Kuchenbaecker, Karoline B. [3 ]
Shah, Sonia [1 ]
Sofat, Reecha [1 ,4 ]
Holmes, Michael V. [1 ,5 ,6 ]
White, Jon [1 ]
Mindell, Jennifer S. [7 ]
Kivimaki, Mika [7 ]
Brunner, Eric J. [7 ]
Whittaker, John C. [8 ,9 ]
Casas, Juan P. [8 ]
Hingorani, Aroon D. [1 ]
机构
[1] UCL, Inst Cardiovasc Sci, Gower St, London WC1E 6BT, England
[2] Imperial Coll London, Dept Med, London, England
[3] Univ Cambridge, Ctr Canc Genet Epidemiol, Cambridge, England
[4] UCL, Ctr Clin Pharmacol & Therapeut, London, England
[5] Nuffield Dept Populat Hlth, Clin Trial Serv Unit, Oxford, England
[6] Nuffield Dept Populat Hlth, Epidemiol Studies Unit CTSU, Oxford, England
[7] UCL, Res Dept Epidemiol & Publ Hlth, London, England
[8] London Sch Hyg & Trop Med, Dept Noncommunicable Dis Epidemiol, London, England
[9] GlaxoSmithKline, NFSP, Res & Dev, Div Genet, Harlow, Essex, England
基金
英国医学研究理事会;
关键词
Mendelian randomization; genome-wide association study; biomarkers; causal inference; CORONARY-HEART-DISEASE; C-REACTIVE PROTEIN; BODY-MASS INDEX; DENSITY-LIPOPROTEIN CHOLESTEROL; PLEIOTROPIC GENETIC-VARIANTS; APOLIPOPROTEIN-E GENOTYPE; CARDIOVASCULAR-DISEASE; COMMON VARIANTS; WAIST CIRCUMFERENCE; CAUSAL INFERENCE;
D O I
10.1093/ije/dyw088
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Mendelian randomization (MR) studies typically assess the pathogenic relevance of environmental exposures or disease biomarkers, using genetic variants that instrument these exposures. The approach is gaining popularity-our systematic review reveals a greater than 10-fold increase in MR studies published between 2004 and 2015. When the MR paradigm was first proposed, few biomarker-or exposure-related genetic variants were known, most having been identified by candidate gene studies. However, genome-wide association studies (GWAS) are now providing a rich source of potential instruments for MR analysis. Many early reviews covering the concept, applications and analytical aspects of the MR technique preceded the surge in GWAS, and thus the question of how best to select instruments for MR studies from the now extensive pool of available variants has received insufficient attention. Here we focus on the most common category of MR studies-those concerning disease biomarkers. We consider how the selection of instruments for MR analysis from GWAS requires consideration of: the assumptions underlying the MR approach; the biology of the biomarker; the genome-wide distribution, frequency and effect size of biomarker-associated variants (the genetic architecture); and the specificity of the genetic associations. Based on this, we develop guidance that may help investigators to plan and readers interpret MR studies.
引用
收藏
页码:1600 / 1616
页数:17
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