Franzén Oscar, Ermel Raili, Cohain Ariella, Akers Nicholas K, Di Narzo Antonio, Talukdar Husain A, Foroughi-Asl Hassan, Giambartolomei Claudia, Fullard John F, Sukhavasi Katyayani, Köks Sulev, Gan Li-Ming, Giannarelli Chiara, Kovacic Jason C, Betsholtz Christer, Losic Bojan, Michoel Tom, Hao Ke, Roussos Panos, Skogsberg Josefin, Ruusalepp Arno, Schadt Eric E, Björkegren Johan L M
Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York , NY 10029, USA. Clinical Gene Networks AB, Jungfrugatan 10, 114 44 Stockholm, Sweden.
Department of Pathophysiology, Institute of Biomedicine and Translation Medicine, University of Tartu, Biomeedikum, Ravila 19, 50411, Tartu, Estonia. Department of Cardiac Surgery, Tartu University Hospital, 1a Ludwig Puusepa Street, 50406 Tartu, Estonia.
Science. 2016 Aug 19;353(6301):827-30. doi: 10.1126/science.aad6970.
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.
全基因组关联研究(GWAS)已鉴定出数百个心血管代谢疾病(CMD)风险位点。然而,它们对遗传变异的贡献很小,并且大多数下游基因调控机制尚不清楚。在斯德哥尔摩 - 塔尔图动脉粥样硬化反向网络工程任务研究(STARNET)中,我们对600名冠状动脉疾病患者的血管和代谢组织进行了基因分型和RNA测序。与GWAS鉴定的CMD风险单核苷酸多态性(SNP)相关的基因表达特征在STARNET中比在组织和疾病非特异性基因 - 组织表达研究中更广泛地被发现,这表明跨组织和CMD存在下游顺式/反式基因调控的共享。相比之下,其他GWAS风险SNP的调控作用具有组织特异性;腹部脂肪成为血脂的重要基因调控位点,例如对于低密度脂蛋白胆固醇和冠状动脉疾病风险基因PCSK9而言。STARNET为CMD风险位点的基因调控机制提供了见解,有助于将其转化为诊断、治疗和预防的机会。