Genome-wide association meta-analysis identifies risk loci for abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Tanmoy Roychowdhury, Derek Klarin, Michael G. Levin, Joshua M. Spin, Yae Hyun Rhee, Alicia Deng, Colwyn A. Headley, Noah L. Tsao, Corry Gellatly, Verena Zuber, Fred Shen, Whitney E. Hornsby, Ina Holst Laursen, Shefali S. Verma, Adam E. Locke, Gudmundur Einarsson, Gudmar Thorleifsson, Sarah E. Graham, Ozan Dikilitas, Jack W. Pattee, Renae L. Judy, Ferran Pauls-Verges, Jonas B. Nielsen, Brooke N. Wolford, Ben M. Brumpton, Jaume Dilmé, Olga Peypoch, Laura Calsina Juscafresa, Todd L. Edwards, Dadong Li, Karina Banasik, Søren Brunak, Rikke L. Jacobsen, Minerva T. Garcia-Barrio, Jifeng Zhang, Lars M. Rasmussen, Regent Lee, Ashok Handa, Anders Wanhainen, Kevin Mani, Jes S. Lindholt, Lasse M. Obel, Ewa Strauss, Grzegorz Oszkinis, Christopher P. Nelson, Katie L. Saxby, Joost A. van Herwaarden, Sander W. van der Laan, Jessica van Setten, Mercedes Camacho, Frank M. Davis, Rachael Wasikowski, Lam C. Tsoi, Johann E. Gudjonsson, Jonathan L. Eliason, Dawn M. Coleman, Peter K. Henke, Santhi K. Ganesh, Y. Eugene Chen, Weihua Guan, James S. Pankow, Nathan Pankratz, Ole B. Pedersen, Christian Erikstrup, Weihong Tang, Kristian Hveem, Daniel Gudbjartsson, Solveig Gretarsdottir, Unnur Thorsteinsdottir, Hilma Holm, Kari Stefansson, Manuel A. Ferreira, Aris Baras, Iftikhar J. Kullo, Marylyn D. Ritchie, Alex H. Christensen, Kasper K. Iversen, Nikolaj Eldrup, Henrik Sillesen, Sisse R. Ostrowski, Henning Bundgaard, Henrik Ullum, Stephen Burgess, Dipender Gill, Katherine Gallagher, Maria Sabater-Lleal, DiscovEHR, Regeneron Genetics Center, UK Aneurysm Growth Study, DBDS Genomic Consortium, VA Million Veteran Program, Ida Surakka, Gregory T. Jones, Matthew J. Bown, Philip S. Tsao, Cristen J. Willer, Scott M. Damrauer
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引用次数: 0

Abstract

Abdominal aortic aneurysm (AAA) is a common disease with substantial heritability. In this study, we performed a genome-wide association meta-analysis from 14 discovery cohorts and uncovered 141 independent associations, including 97 previously unreported loci. A polygenic risk score derived from meta-analysis explained AAA risk beyond clinical risk factors. Genes at AAA risk loci indicate involvement of lipid metabolism, vascular development and remodeling, extracellular matrix dysregulation and inflammation as key mechanisms in AAA pathogenesis. These genes also indicate overlap between the development of AAA and other monogenic aortopathies, particularly via transforming growth factor β signaling. Motivated by the strong evidence for the role of lipid metabolism in AAA, we used Mendelian randomization to establish the central role of nonhigh-density lipoprotein cholesterol in AAA and identified the opportunity for repurposing of proprotein convertase, subtilisin/kexin-type 9 (PCSK9) inhibitors. This was supported by a study demonstrating that PCSK9 loss of function prevented the development of AAA in a preclinical mouse model. Genome-wide association meta-analysis of AAA identifies 121 independent risk loci and highlights potential therapeutic targets such as proprotein convertase, subtilisin/kexin-type 9 (PCSK9).

Abstract Image

全基因组关联荟萃分析确定了腹主动脉瘤的风险位点,并强调PCSK9是一个治疗靶点。
腹主动脉瘤(AAA)是一种常见的疾病,具有显著的遗传性。在这项研究中,我们对14个发现队列进行了全基因组关联荟萃分析,发现了141个独立的关联,包括97个以前未报告的基因座。荟萃分析得出的多基因风险评分解释了AAA风险超出临床风险因素的原因。AAA风险位点的基因表明,参与脂质代谢、血管发育和重塑、细胞外基质失调和炎症是AAA发病机制的关键机制。这些基因还表明AAA的发展与其他单基因主动脉病变之间存在重叠,特别是通过转化生长因子β信号传导。受脂质代谢在AAA中作用的有力证据的启发,我们使用孟德尔随机化来确定非高密度脂蛋白胆固醇在AAA中的中心作用,并确定了前蛋白转化酶枯草杆菌蛋白酶/kexin 9型(PCSK9)抑制剂的再利用机会。这得到了一项研究的支持,该研究表明PCSK9功能的丧失阻止了临床前小鼠模型中AAA的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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