Multi-ancestry transcriptome prediction with functionally informed variants in TOPMed MESA improves performance of transcriptome-wide association studies
利用TOPMed MESA中功能性变异进行多祖先转录组预测可提高全转录组关联研究的性能
期刊:American Journal of Human Genetics
影响因子:8.1
doi:10.1016/j.ajhg.2026.03.008
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