TorchGWAS2: Cost-Effective Phenome- and Genome-Wide Association Testing in Related Samples
Mengyu Zhang, Ziqian Xie, Samaneh Salehi Nasab, Nannan Wang, Xingzhong Zhao, Taryn Alkis, John Barnard, Thomas W. Blackwell, Russell P Bowler, Shinhye Chung, Michael H. Cho, Clary B. Clish, Emily Drzymalla, Anne M. Evans, Nora Franceschini, , Han Chen
TorchGWAS2 improves genome-wide association testing in related samples by using a deterministic variance-correction algorithm, achieving faster and more powerful results across large-scale omics data.
medRxiv · Sep 16, 2026 · PreprintGenetic & Genomic Medicine