Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide association studies

• Published in: BMC bioinformatics Vol. 9; no. 1; p. 315
• Main Authors: Ma, Li, Runesha, H Birali, Dvorkin, Daniel, Garbe, John R, Da, Yang
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 21.07.2008; BioMed Central; BMC
• Subjects: Epistasis, Genetic; Genetic variation; Genomics - methods; Identification and classification; Online databases; Physiological aspects; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Single nucleotide polymorphisms; Software; United States

Genome-wide association studies (GWAS) using single nucleotide polymorphism (SNP) markers provide opportunities to detect epistatic SNPs associated with quantitative traits and to detect the exact mode of an epistasis effect. Computational difficulty is the main bottleneck for epistasis testing in l...