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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Detalles Bibliográficos
Autores principales: Yan, Shijia, Sha, Qiuying, Zhang, Shuanglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318573/
https://www.ncbi.nlm.nih.gov/pubmed/35885903
http://dx.doi.org/10.3390/genes13071120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318573/
https://www.ncbi.nlm.nih.gov/pubmed/35885903
http://dx.doi.org/10.3390/genes13071120

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