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B0514
Title: Learning about the genetic architecture of complex traits across populations Authors:  Hua Tang - Stanford University (United States) [presenting]
Abstract: 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 in another population? We 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. Extending this approach, we discuss methods for genetic risk prediction.