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arXiv · 2108.05655

Understanding the population structure correction regression

The Tien Mai·Pierre Alquier
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Abstract

Although genome-wide association studies (GWAS) on complex traits have achieved great successes, the current leading GWAS approaches simply perform to test each genotype-phenotype association separately for each genetic variant. Curiously, the statistical properties for using these approaches is not known when a joint model for the whole genetic variants is considered. Here we advance in GWAS in understanding the statistical properties of the "population structure correction" (PSC) approach, a standard univariate approach in GWAS. We further propose and analyse a correction to the PSC approach, termed as "corrected population correction" (CPC). Together with the theoretical results, numerical simulations show that CPC is always comparable or better than PSC, with a dramatic improvement in some special cases.

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The Tien Mai, Pierre Alquier. 2021-08-12. Understanding the population structure correction regression. https://doi.org/10.11159/icsta22.114

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