TwinEQTL: ultrafast and powerful association analysis for eQTL and GWAS in twin studies.

ABSTRACT: We develop a computationally efficient alternative, TwinEQTL, to a linear mixed-effects model for twin genome-wide association study data. Instead of analyzing all twin samples together with linear mixed-effects model, TwinEQTL first splits twin samples into 2 independent groups on which multiple linear regression analysis can be validly performed separately, followed by an appropriate meta-analysis-like approach to combine the 2 nonindependent test results. Through mathematical derivations, we prove the validity of TwinEQTL algorithm and show that the correlation between 2 dependent test statistics at each single-nucleotide polymorphism is independent of its minor allele frequency. Thus, the correlation is constant across all single-nucleotide polymorphisms. Through simulations, we show e

SUBMITTER: Xia K 

PROVIDER: S-EPMC9339336 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature