Ontology highlight
ABSTRACT:
SUBMITTER: Wang K
PROVIDER: S-EPMC2276352 | biostudies-literature | 2007 Dec
REPOSITORIES: biostudies-literature
Wang Kai K Li Mingyao M Bucan Maja M
American journal of human genetics 20071201 6
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 ...[more]