Learning about the Genetic Architecture of Complex Traits Across Populations
Genome-wide association studies (GWAS) have become a standard approach for identifying loci influencing complex traits. However, GWAS in non-European populations are hampered by limited sample sizes and are thus underpowered. Can GWAS results in one population
be exploited to boost the power of mapping loci relevant in another population? The first part of the this talk will describe a set of analyses, which address the question, “to what extent does the genetic architecture of a complex trait overlap between human
populations?” The second part of the talk will introduce an empirical Bayes approach, which improves the power of mapping trait loci relevant in a specific minority population through adaptively leveraging multi-ethnic evidence. A case study on plasma lipid
concentration will be presented.