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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...
Autores principales: | Yan, Shijia, Sha, Qiuying, Zhang, Shuanglin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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