Article
A time-varying group sparse additive model for genome-wide association studies of dynamic complex traits.
Bioinformatics (Oxford, England) - 1 Oct 2016
Marchetti-Bowick Micol, Yin Junming, Howrylak Judie A, Xing Eric P
Abstract excerpt
MOTIVATION: Despite the widespread popularity of genome-wide association studies (GWAS) for genetic mapping of complex traits, most existing GWAS methodologies are still limited to the use of static phenotypes measured at a single time point. In this work, we propose a new method for association mapping that considers dynamic phenotypes measured at a sequence of time points. Our approach relies on the use of...
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