| Literature DB >> 27540175 |
Oscar Franzén1, Raili Ermel2, Ariella Cohain3, Nicholas K Akers3, Antonio Di Narzo3, Husain A Talukdar4, Hassan Foroughi-Asl4, Claudia Giambartolomei5, John F Fullard5, Katyayani Sukhavasi6, Sulev Köks6, Li-Ming Gan7, Chiara Giannarelli8, Jason C Kovacic9, Christer Betsholtz10, Bojan Losic3, Tom Michoel11, Ke Hao3, Panos Roussos12, Josefin Skogsberg4, Arno Ruusalepp13, Eric E Schadt3, Johan L M Björkegren14.
Abstract
Genome-wide association studies (GWAS) have identified hundreds of cardiometabolic disease (CMD) risk loci. However, they contribute little to genetic variance, and most downstream gene-regulatory mechanisms are unknown. We genotyped and RNA-sequenced vascular and metabolic tissues from 600 coronary artery disease patients in the Stockholm-Tartu Atherosclerosis Reverse Networks Engineering Task study (STARNET). Gene expression traits associated with CMD risk single-nucleotide polymorphism (SNPs) identified by GWAS were more extensively found in STARNET than in tissue- and disease-unspecific gene-tissue expression studies, indicating sharing of downstream cis-/trans-gene regulation across tissues and CMDs. In contrast, the regulatory effects of other GWAS risk SNPs were tissue-specific; abdominal fat emerged as an important gene-regulatory site for blood lipids, such as for the low-density lipoprotein cholesterol and coronary artery disease risk gene PCSK9 STARNET provides insights into gene-regulatory mechanisms for CMD risk loci, facilitating their translation into opportunities for diagnosis, therapy, and prevention.Entities:
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Year: 2016 PMID: 27540175 PMCID: PMC5534139 DOI: 10.1126/science.aad6970
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728