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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedLiu Y, Chen Y, Scheet P
A meta-analytic framework for detection of genetic interactions.
The researchers propose a new procedure for detecting gene-by-gene interactions through heterogeneity in estimated low-order (e.g., marginal) effect sizes by leveraging population structure, or ancestral differences, among studies in which the same phenotypes were measured. They implement this approach in a meta-analytic framework, which offers numerous advantages, such as robustness and computational efficiency, and is necessary when data-sharing limitations restrict joint analysis.
AHRQ-funded; HS022900.
Citation: Liu Y, Chen Y, Scheet P .
A meta-analytic framework for detection of genetic interactions.
Genet Epidemiol 2016 Nov;40(7):534-43. doi: 10.1002/gepi.21996.
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Keywords: Genetics, Research Methodologies, Health Information Technology (HIT)