title: Memory management in genome-wide association studies.
abstract: Genome-wide association is a powerful tool for the identification of genes that underlie common diseases. Genome-wide association studies generate billions of genotypes and pose significant computational challenges for most users including limited computer memory. We applied a recently developed memory management tool to two analyses of North American Rheumatoid Arthritis Consortium studies and measured the performance in terms of central processing unit and memory usage. We conclude that our memory management approach is simple, efficient, and effective for genome-wide association studies.
authors.affiliation: Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut 06520-8034, USA. xiang.chen@yale.edu.
authors.forename: Xiang
authors.initials: X
authors.lastname: Chen
authors.forename: Meizhuo
authors.initials: M
authors.lastname: Zhang
authors.forename: Minghui
authors.initials: M
authors.lastname: Wang
authors.forename: Wensheng
authors.initials: W
authors.lastname: Zhu
authors.forename: Kelly
authors.initials: K
authors.lastname: Cho
authors.forename: Heping
authors.initials: H
authors.lastname: Zhang