Article

Bias in genome-wide association test statistics due to omitted interactions

2025-11-22

Abstract excerpt

Over the past two decades, genome-wide association studies (GWAS) enabled the discovery of thousands of variants associated with many complex human traits. However, conventional GWAS are still widely performed with linear models with the assumption that the genetic effects are predominantly additive. In this work, we investigate the test statistic behavior when linear models are used to obtain significant genotype...

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Literature Corpus work: 76798af2-0d8f-5eea-a59f-de0202a3fb1d
DOI: 10.1101/2025.11.21.689603

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