Abstract
Background-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). Methods and Results-Genome-wide association analyses of approximately approximate to 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 beta 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. Conclusions-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. (Circ Cardiovasc Genet. 2011; 4:549-556.)
Original language | English |
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Journal | Circulation: Cardiovascular Genetics |
Volume | 4 |
Issue number | 5 |
Pages (from-to) | 549-U159 |
ISSN | 1942-325X |
DOIs | |
Publication status | Published - 2011 |
Keywords
- CARDIAC
- GENETICS
- ARTERY-DISEASE
- ASSOCIATION ANALYSIS
- SUSCEPTIBILITY LOCUS
- INTERACTION DATABASE
- INTERACTION NETWORKS
- PATHWAY
- POPULATION
- RESOURCE
- GENES
- IDENTIFICATION