Article
Polygenic approaches to detect gene-environment interactions when external information is unavailable.
Briefings in bioinformatics - 27 Nov 2019
Lin Wan-Yu, Huang Ching-Chieh, Liu Yu-Li, Tsai Shih-Jen, Kuo Po-Hsiu
Abstract excerpt
The exploration of 'gene-environment interactions' (G × E) is important for disease prediction and prevention. The scientific community usually uses external information to construct a genetic risk score (GRS), and then tests the interaction between this GRS and an environmental factor (E). However, external genome-wide association studies (GWAS) are not always available, especially for non-Caucasian ethnicity....
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