Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways
Author(s) -
Stephen Burgess,
Rhian Daniel,
Adam S. Butterworth,
Simon G. Thompson
Publication year - 2014
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/dyu176
Subject(s) - mendelian randomization , instrumental variable , causal inference , confounding , mediation , outcome (game theory) , econometrics , marginal structural model , causality (physics) , estimator , covariate , indirect effect , statistics , psychology , biology , mathematics , genetics , genetic variants , genotype , physics , mathematical economics , quantum mechanics , gene , political science , law
Mendelian randomization uses genetic variants, assumed to be instrumental variables for a particular exposure, to estimate the causal effect of that exposure on an outcome. If the instrumental variable criteria are satisfied, the resulting estimator is consistent even in the presence of unmeasured confounding and reverse causation.
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