@article{f38dc9b3d0d94fe48c3103fc0a601679,
title = "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).",
keywords = "Adult, Aged, Animals, Blood Pressure, Case-Control Studies, Coronary Disease, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Incidence, Male, Mice, Mice, Knockout, Middle Aged, Polymorphism, Single Nucleotide, Protein Interaction Mapping, Receptors, Adrenergic, beta-1, Risk Factors",
author = "Jensen, {Majken Karoline} and Pers, {Tune H} and Piotr Dworzynski and Girman, {Cynthia J} and S{\o}ren Brunak and Rimm, {Eric B}",
year = "2011",
doi = "10.1161/CIRCGENETICS.111.960393",
language = "English",
volume = "4",
pages = "549--56",
journal = "Circulation: Cardiovascular Genetics",
issn = "1942-325X",
publisher = "Lippincott Williams and Wilkins",
number = "5",
}