Author: Zhang, Kunlin; Cui, Sijia; Chang, Suhua; Zhang, Liuyan; Wang, Jing
Title: i-GSEA4GWAS: a web server for identification of pathways/gene sets associated with traits by applying an improved gene set enrichment analysis to genome-wide association study Document date: 2010_7_1
ID: jjfcuybb_1
Snippet: Genome-wide association study (GWAS) has become a popular approach by utilizing genome-wide genotyping array to map susceptibility effects through examining associations between SNP genotype frequency and traits (1, 2) . The standard GWAS analysis focuses on single SNP/gene and identifies only a number of the most significant SNPs that account for only a small proportion of the genetic variants and offers limited understanding of complex diseases.....
Document: Genome-wide association study (GWAS) has become a popular approach by utilizing genome-wide genotyping array to map susceptibility effects through examining associations between SNP genotype frequency and traits (1, 2) . The standard GWAS analysis focuses on single SNP/gene and identifies only a number of the most significant SNPs that account for only a small proportion of the genetic variants and offers limited understanding of complex diseases (3) . It also ignores the combined SNP/ gene effects representing interactions of multiple genetic factors of complex disease, which lead to difficulties in exploring biological function and mechanism from a systems point of view.
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