Article
Multi-ancestry transcriptome prediction with functionally informed variants in TOPMed MESA improves performance of transcriptome-wide association studies.
American journal of human genetics - 2 Apr 2026
Hu Xiaowei, Araujo Daniel S, Khunsriraksakul Chachrit, Wang Lida, Sun Quan, Wen Jia, Zhou Lingbo, Ekunwe Lynette, Lange Leslie A, Lange Ethan M, Montgomery Stephen B, Reiner Alexander P, Aguet Francois, Ardlie Kristin G, Lappalainen Tuuli, Gignoux Christopher R, Burchard Esteban G, Taylor Kent D, Guo Xiuqing, Rotter Jerome I, Rich Stephen S, Cornell Elaine, Durda Peter, Tracy Russell P, Liu Yongmei, Johnson W Craig, Papanicolaou George P, Perera Minoli A, Cho Michael H, Liu Dajiang J, Raffield Laura M, Li Yun, Wheeler Heather E, Im Hae Kyung, Manichaikul Ani
Abstract excerpt
Reliable reference transcriptome prediction models are key to accurate multi-ancestry transcriptome-wide association studies (TWASs). We propose three methods leveraging functionally informed variants (FIVs) for transcriptome prediction models to improve multi-ancestry TWASs. We trained models on 1,287 multi-ancestry participants from the Trans-Omics for Precision Medicine (TOPMed) program Multi-Ethnic Study of...
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