Integrative functional genomics identifies regulatory mechanisms at coronary artery disease loci
2016 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 7, 12092Article in journal (Refereed) Published
Coronary artery disease (CAD) is the leading cause of mortality and morbidity, driven by both genetic and environmental risk factors. Meta-analyses of genome-wide association studies have identified 4150 loci associated with CAD and myocardial infarction susceptibility in humans. A majority of these variants reside in non-coding regions and are co-inherited with hundreds of candidate regulatory variants, presenting a challenge to elucidate their functions. Herein, we use integrative genomic, epigenomic and transcriptomic profiling of perturbed human coronary artery smooth muscle cells and tissues to begin to identify causal regulatory variation and mechanisms responsible for CAD associations. Using these genome-wide maps, we prioritize 64 candidate variants and perform allele-specific binding and expression analyses at seven top candidate loci: 9p21.3, SMAD3, PDGFD, IL6R, BMP1, CCDC97/TGFB1 and LMOD1. We validate our findings in expression quantitative trait loci cohorts, which together reveal new links between CAD associations and regulatory function in the appropriate disease context.
Place, publisher, year, edition, pages
2016. Vol. 7, 12092
Cardiac and Cardiovascular Systems
IdentifiersURN: urn:nbn:se:uu:diva-307963DOI: 10.1038/ncomms12092ISI: 000380304600001PubMedID: 27386823OAI: oai:DiVA.org:uu-307963DiVA: diva2:1049143
FunderTorsten Söderbergs stiftelseRagnar Söderbergs stiftelseKnut and Alice Wallenberg FoundationAstraZenecaNIH (National Institute of Health), R01HL125863 R01HL71207Swedish Research CouncilThe Karolinska Institutet's Research Foundation