article Open AccessTop 10% cited
Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants
International Journal of Epidemiology · 2010 · Vol. 40(3) · pp. 740–752
Brandon L. Pierce✉(University of Chicago)Habibul Ahsan(University of Chicago)Tyler J. VanderWeele(Harvard University)
Abstract
The feasibility of well-powered, unbiased MR studies will depend upon the amount of variance in the exposure that can be explained by known genetic factors and the 'strength' of the IV set derived from these genetic factors.
Genetic Associations and EpidemiologyAdvanced Causal Inference TechniquesStatistical Methods in Clinical TrialsMendelian randomizationSample size determinationGenetic architectureRegressionStatisticsAdditive genetic effectsTraitGenetic modelGenome-wide association studyGenetic association
MeSH terms
Feasibility StudiesFemaleHumansMaleSensitivity and SpecificityGenetic VariationBiasMolecular EpidemiologyRisk AssessmentGenetic Predisposition to DiseaseGenome-Wide Association StudyMendelian Randomization Analysis
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References
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Journal of the American Statistical Association · 1995 · 3,726 citations
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Technometrics · 2005 · 18,043 citations
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Econometrica · 1994 · 4,045 citations
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Technometrics · 1999 · 3,794 citations
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