Gene-Based Association Tests Using New Polygenic Risk Scores and Incorporating Gene Expression Data

Recently, gene-based association studies have shown that integrating genome-wide association studies (GWAS) with expression quantitative trait locus (eQTL) data can boost statistical power and that the genetic liability of traits can be captured by polygenic risk scores (PRSs). In this paper, we pro...

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Bibliographic Details
Main Authors: Shijia Yan, Qiuying Sha, Shuanglin Zhang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Genes
Subjects:
Online Access:https://www.mdpi.com/2073-4425/13/7/1120