Article
PCA-based GRS analysis enhances the effectiveness for genetic correlation detection.
Briefings in bioinformatics - 27 Nov 2019
Zhao Yan, Ning Yujie, Zhang Feng, Ding Miao, Wen Yan, Shi Liang, Wang Kunpeng, Lu Mengnan, Sun Jingyan, Wu Menglu, Cheng Bolun, Ma Mei, Zhang Lu, Cheng Shiqiang, Shen Hui, Tian Qing, Guo Xiong, Deng Hong-Wen
Abstract excerpt
Genetic risk score (GRS, also known as polygenic risk score) analysis is an increasingly popular method for exploring genetic architectures and relationships of complex diseases. However, complex diseases are usually measured by multiple correlated phenotypes. Analyzing each disease phenotype individually is likely to reduce statistical power due to multiple testing correction. In order to conquer the...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
