Gene set analysis of genome-wide association studies: Methodological issues and perspectives

• Published in: Genomics (San Diego, Calif.) Vol. 98; no. 1; pp. 1 - 8
• Main Authors: Wang, Lily, Jia, Peilin, Wolfinger, Russell D., Chen, Xi, Zhao, Zhongming
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 01.07.2011; Elsevier
• Subjects: Biological and medical sciences; Complex disease; Diverse techniques; Fundamental and applied biological sciences. Psychology; Gene set; Gene-set enrichment analysis; genes; Genes. Genome; Genetics of eukaryotes. Biological and molecular evolution; Genome-Wide Association Study; Genome-Wide Association Study - methods; Humans; linkage disequilibrium; methods; Molecular and cellular biology; Molecular genetics; Multigene Family; Pathway; Polymorphism, Single Nucleotide; Statistical significance; surveys; Statistical significance; Gene set; Complex disease; Genome-wide association study; Gene-set enrichment analysis; Pathway; Perspective; Association; Gene; Genomics

Recent studies have demonstrated that gene set analysis, which tests disease association with genetic variants in a group of functionally related genes, is a promising approach for analyzing and interpreting genome-wide association studies (GWAS) data. These approaches aim to increase power by combi...