Article
SAIGE-GPU: accelerating genome- and phenome-wide association studies using GPUs.
Bioinformatics (Oxford, England) - 28 Feb 2026
Rodriguez Alex, Kim Youngdae, Nandi Tarak Nath, Keat Karl, Kumar Rachit, Conery Mitchell, Bhukar Rohan, Liu Molei, Hessington John, Maheshwari Ketan, Begoli Edmon, Tourassi Georgia, Muralidhar Sumitra, Natarajan Pradeep, Voight Benjamin F, Cho Kelly, Gaziano John Michael, Damrauer Scott M, Liao Katherine P, Zhou Wei, Huffman Jennifer E, Verma Anurag, Madduri Ravi K
Abstract excerpt
MOTIVATION: Genome-wide association studies (GWAS) at biobank scale are computationally intensive, especially for admixed populations requiring robust statistical models. SAIGE is a widely used method for generalized linear mixed-model GWAS but is limited by its CPU-based implementation, making phenome-wide association studies impractical for many research groups. RESULTS: We developed SAIGE-GPU, a...
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