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. 2007 Dec;81(6):1278-83.
doi: 10.1086/522374.

Pathway-based approaches for analysis of genomewide association studies

Kai Wang  1 , Mingyao Li, Maja Bucan
Affiliations

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.

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References

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    1. Coriell Institute for Medical Research, http://www.coriell.org/
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