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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

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Pathway-based approaches for analysis of genomewide association studies.

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]

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