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

Jack Bowden | Zendy; George Davey Smith | Zendy; Stephen Burgess | Zendy

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

Author(s) -

Jack Bowden,

George Davey Smith,

Stephen Burgess

Publication year - 2015

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyv080

Subject(s) - mendelian randomization , regression , statistics , meta regression , randomization , publication bias , estimation , econometrics , regression analysis , medicine , mathematics , meta analysis , genetics , biology , clinical trial , confidence interval , economics , gene , genetic variants , genotype , management

The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain more precise estimates of causal effects. However, some genetic variants may not be valid instrumental variables, in particular due to them having more than one proximal phenotypic correlate (pleiotropy).

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