Howson Joanna M M, Zhao Wei, Barnes Daniel R, Ho Weang-Kee, Young Robin, Paul Dirk S, Waite Lindsay L, Freitag Daniel F, Fauman Eric B, Salfati Elias L, Sun Benjamin B, Eicher John D, Johnson Andrew D, Sheu Wayne H H, Nielsen Sune F, Lin Wei-Yu, Surendran Praveen, Malarstig Anders, Wilk Jemma B, Tybjærg-Hansen Anne, Rasmussen Katrine L, Kamstrup Pia R, Deloukas Panos, Erdmann Jeanette, Kathiresan Sekar, Samani Nilesh J, Schunkert Heribert, Watkins Hugh, Do Ron, Rader Daniel J, Johnson Julie A, Hazen Stanley L, Quyyumi Arshed A, Spertus John A, Pepine Carl J, Franceschini Nora, Justice Anne, Reiner Alex P, Buyske Steven, Hindorff Lucia A, Carty Cara L, North Kari E, Kooperberg Charles, Boerwinkle Eric, Young Kristin, Graff Mariaelisa, Peters Ulrike, Absher Devin, Hsiung Chao A, Lee Wen-Jane, Taylor Kent D, Chen Ying-Hsiang, Lee I-Te, Guo Xiuqing, Chung Ren-Hua, Hung Yi-Jen, Rotter Jerome I, Juang Jyh-Ming J, Quertermous Thomas, Wang Tzung-Dau, Rasheed Asif, Frossard Philippe, Alam Dewan S, Majumder Abdulla Al Shafi, Di Angelantonio Emanuele, Chowdhury Rajiv, Chen Yii-Der Ida, Nordestgaard Børge G, Assimes Themistocles L, Danesh John, Butterworth Adam S, Saleheen Danish
MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nat Genet. 2017 Jul;49(7):1113-1119. doi: 10.1038/ng.3874. Epub 2017 May 22.
Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Although 58 genomic regions have been associated with CAD thus far, most of the heritability is unexplained, indicating that additional susceptibility loci await identification. An efficient discovery strategy may be larger-scale evaluation of promising associations suggested by genome-wide association studies (GWAS). Hence, we genotyped 56,309 participants using a targeted gene array derived from earlier GWAS results and performed meta-analysis of results with 194,427 participants previously genotyped, totaling 88,192 CAD cases and 162,544 controls. We identified 25 new SNP-CAD associations (P < 5 × 10, in fixed-effects meta-analysis) from 15 genomic regions, including SNPs in or near genes involved in cellular adhesion, leukocyte migration and atherosclerosis (PECAM1, rs1867624), coagulation and inflammation (PROCR, rs867186 (p.Ser219Gly)) and vascular smooth muscle cell differentiation (LMOD1, rs2820315). Correlation of these regions with cell-type-specific gene expression and plasma protein levels sheds light on potential disease mechanisms.
冠状动脉疾病(CAD)是全球发病和死亡的主要原因。尽管到目前为止已有58个基因组区域与CAD相关,但大部分遗传力仍无法解释,这表明还有其他易感基因座有待识别。一种有效的发现策略可能是对全基因组关联研究(GWAS)提出的有前景的关联进行更大规模的评估。因此,我们使用从早期GWAS结果中衍生的靶向基因芯片对56309名参与者进行了基因分型,并对先前基因分型的194427名参与者的结果进行了荟萃分析,总计88192例CAD病例和162544例对照。我们从15个基因组区域中鉴定出25个新的SNP与CAD的关联(固定效应荟萃分析中P < 5×10),包括参与细胞黏附、白细胞迁移和动脉粥样硬化的基因(PECAM1,rs1867624)、凝血和炎症的基因(PROCR,rs867186(p.Ser219Gly))以及血管平滑肌细胞分化的基因(LMOD1,rs2820315)中的SNP。这些区域与细胞类型特异性基因表达和血浆蛋白水平的相关性揭示了潜在的疾病机制。