Accelerating Genome- and Phenome-Wide Association Studies using GPUs - A case study using data from the Million Veteran Program
Alex Rodriguez, Young‐Dae Kim, Tarak Nandi, Karl Keat, Rachit Kumar, Rohan Bhukar, Mitchell Conery, Molei Liu, John Hessington, Ketan C. Maheshwari, Drew Schmidt, VA Million Veteran Program, Edmon Begoli, Georgia D. Tourassi, Sumitra Muralidhar, , Ravi Madduri
This paper optimizes the SAIGE algorithm using GPUs to accelerate GWAS on large datasets, achieving 20x speedup on the Million Veteran Program data.
bioRxiv · May 17, 2024 · PreprintGenetics