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Power calculation for the general two‐sample Mendelian randomization analysis
Author(s) -
Deng Lu,
Zhang Han,
Yu Kai
Publication year - 2020
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.22284
Subject(s) - mendelian randomization , genome wide association study , genetic association , sample size determination , statistics , outcome (game theory) , sample (material) , mendelian inheritance , computer science , genetics , computational biology , biology , genetic variants , single nucleotide polymorphism , mathematics , genotype , gene , chemistry , mathematical economics , chromatography
Mendelian randomization (MR) study has become a powerful approach to assess the potential causal effect of a risk exposure on an outcome. Most current MR studies are conducted under the two‐sample setting by combining summary data from two separate genome‐wide association studies (GWAS), with one providing measures on associations between genetic markers and the risk exposure, and the other on associations between genetic markers and the outcome. We develop a power calculation procedure for the general two‐sample MR study, allowing for the use of multiple genetic markers, and shared participants between the two GWAS. This procedure requires a few easy‐to‐interpret parameters and is validated through extensive simulation studies.