Article
Predicting ExWAS findings from GWAS data: a shorter path to causal genes.
Human genetics - 1 Jun 2023
Liang Kevin Y H, Farjoun Yossi, Forgetta Vincenzo, Chen Yiheng, Yoshiji Satoshi, Lu Tianyuan, Richards J Brent
Abstract excerpt
GWAS has identified thousands of loci associated with disease, yet the causal genes within these loci remain largely unknown. Identifying these causal genes would enable deeper understanding of the disease and assist in genetics-based drug development. Exome-wide association studies (ExWAS) are more expensive but can pinpoint causal genes offering high-yield drug targets, yet suffer from a high false-negative...
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