Pathway-based approaches for analysis of genomewide association studies - PubMed (original) (raw)
Pathway-based approaches for analysis of genomewide association studies
Kai Wang et al. Am J Hum Genet. 2007 Dec.
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.
© 2007 by The American Society of Human Genetics. All rights reserved.
References
Web Resources
- BioCarta, http://www.biocarta.com/genes/
- Coriell Institute for Medical Research, http://www.coriell.org/
- Ensembl, http://www.ensembl.org/
- GO, http://www.geneontology.org/ (for accession number 0008194)
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