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Activity Number: 40 - Recent Advances in Statistical Methods for Genome-Wide Association Studies
Type: Contributed
Date/Time: Sunday, July 29, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #330304 Presentation
Title: A Genetic Association Test Robust to Arbitrary Population Structure
Author(s): Minsun Song*
Companies: Sookmyung Women's University
Keywords: latent population structure; genome-wide association study

We present a new statistical test of association between a trait and genetic markers, which we theoretically and practically prove to be robust to arbitrarily complex population structure. The statistical test involves a set of parameters that can be directly estimated from large-scale genotyping data, such as those measured in genome-wide associations studies. We also derive a new set of methodologies, called a genotype-conditional association test, shown to provide accurate association tests in populations with complex structures, manifested in both the genetic and non-genetic contributions to the trait. We demonstrate the proposed method on a large simulation study and on the real data.

Authors who are presenting talks have a * after their name.

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