Article
Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies.
Biometrics - 1 Dec 2020
McCaw Zachary R, Lane Jacqueline M, Saxena Richa, Redline Susan, Lin Xihong
Abstract excerpt
Quantitative traits analyzed in Genome-Wide Association Studies (GWAS) are often nonnormally distributed. For such traits, association tests based on standard linear regression are subject to reduced power and inflated type I error in finite samples. Applying the rank-based inverse normal transformation (INT) to nonnormally distributed traits has become common practice in GWAS. However, the different variations...
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