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Protein interaction-based genome-wide analysis of incident coronary heart disease.


ABSTRACT: Network-based approaches may leverage genome-wide association (GWA) analysis by testing for the aggregate association across several pathway members. We aimed to examine if networks of genes that represent experimentally determined protein-protein interactions (PPIs) are enriched in genes associated with risk of coronary heart disease (CHD).Genome-wide association analyses of approximately ?700,000 single-nucleotide polymorphisms in 899 incident CHD cases and 1823 age- and sex-matched controls within the Nurses' Health and the Health Professionals Follow-up Studies were used to assign genewise P values. A large database of PPIs was used to assemble 8351 unbiased protein complexes and corresponding gene sets. Superimposed genewise P values were used to rank gene sets based on their enrichment in genes associated with CHD. After correcting for the number of complexes tested, 1 gene set was overrepresented in CHD-associated genes (P=0.002). Centered on the ?1-adrenergic receptor gene (ADRB1), this complex included 18 protein interaction partners that have not been identified as candidate loci for CHD. Of the 19 genes in the top complex, 5 are involved in abnormal cardiovascular system physiological features based on knockout mice (4-fold enrichment; Fisher exact test, P=0.006). Ingenuity pathway analysis revealed that canonical pathways, especially related to blood pressure regulation, were significantly enriched in the genes from the top complex.The integration of a GWA study with PPI data successfully identifies a set of candidate susceptibility genes for incident CHD that would have been missed in single-marker GWA analysis.

SUBMITTER: Jensen MK 

PROVIDER: S-EPMC3197770 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature

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Protein interaction-based genome-wide analysis of incident coronary heart disease.

Jensen Majken K MK   Pers Tune H TH   Dworzynski Piotr P   Girman Cynthia J CJ   Brunak Søren S   Rimm Eric B EB  

Circulation. Cardiovascular genetics 20110831 5


<h4>Background</h4>Network-based approaches may leverage genome-wide association (GWA) analysis by testing for the aggregate association across several pathway members. We aimed to examine if networks of genes that represent experimentally determined protein-protein interactions (PPIs) are enriched in genes associated with risk of coronary heart disease (CHD).<h4>Methods and results</h4>Genome-wide association analyses of approximately ≈700,000 single-nucleotide polymorphisms in 899 incident CHD  ...[more]

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