Power analysis of transcriptome-wide association study: Implications for practical protocol choice.

ABSTRACT: The transcriptome-wide association study (TWAS) has emerged as one of several promising techniques for integrating multi-scale 'omics' data into traditional genome-wide association studies (GWAS). Unlike GWAS, which associates phenotypic variance directly with genetic variants, TWAS uses a reference dataset to train a predictive model for gene expressions, which allows it to associate phenotype with variants through the mediating effect of expressions. Although effective, this core innovation of TWAS is poorly understood, since the predictive accuracy of the genotype-expression model is generally low and further bounded by expression heritability. This raises the question: to what degree does the accuracy of the expression model affect the power of TWAS? Furthermore, would replacing predic

SUBMITTER: Cao C 

PROVIDER: S-EPMC7946362 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature