Pathway-based approaches for analysis of genomewide association studies.

ABSTRACT: Published genomewide association (GWA) studies typically analyze and report single-nucleotide polymorphisms (SNPs) and their neighboring genes with the strongest evidence of association (the "most-significant SNPs/genes" approach), while paying little attention to the rest. Borrowing ideas from microarray data analysis, we demonstrate that pathway-based approaches, which jointly consider multiple contributing factors in the same pathway, might complement the most-significant SNPs/genes approach and provide additional insights into interpretation of GWA data on complex diseases.

SUBMITTER: Wang K 

PROVIDER: S-EPMC2276352 | biostudies-literature | 2007 Dec

REPOSITORIES: biostudies-literature