Cardiometabolic risk loci share downstream cis- and trans-gene regulation across tissues and diseases

Oscar Franzén(Time Critical Networks (Sweden)), Raili Ermel(Tartu University Hospital), Ariella Cohain(Icahn School of Medicine at Mount Sinai), Nicholas K. Akers(Icahn School of Medicine at Mount Sinai), Antonio Di Narzo(Icahn School of Medicine at Mount Sinai), Husain A. Talukdar(Karolinska Institutet), Hassan Foroughi Asl(Karolinska Institutet), Claudia Giambartolomei(Allen Institute for Brain Science), John F. Fullard(Allen Institute for Brain Science), Katyayani Sukhavasi(University of Tartu), Sulev Kõks(University of Tartu), Li‐Ming Gan(AstraZeneca (Sweden)), Chiara Giannarelli(Icahn School of Medicine at Mount Sinai), Jason C. Kovacic(Icahn School of Medicine at Mount Sinai), Christer Betsholtz(Karolinska Institutet), Bojan Losic(Icahn School of Medicine at Mount Sinai), Tom Michoel(Edinburgh Genomics), Ke Hao(Icahn School of Medicine at Mount Sinai), Panos Roussos(Allen Institute for Brain Science), Josefin Skogsberg(Karolinska Institutet), Arno Ruusalepp(Tartu University Hospital), Eric E. Schadt(Icahn School of Medicine at Mount Sinai), Johan Björkegren(Karolinska Institutet)
Science
August 18, 2016
Cited by 314Open Access
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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.


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