Am J Hum Genet. 2007 Dec;81(6):1278-83.

Pathway-based approaches for analysis of genomewide association studies.

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Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA. kai@mail.med.upenn.edu

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.

PMID:: 17966091; [PubMed - indexed for MEDLINE]
PMCID: PMC2276352

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R01-MH604687/MH/NIMH NIH HHS/United States

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