全基因组关联分析深入揭示扩张型心肌病的分子病因

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Sean L. Zheng, Albert Henry, Douglas Cannie, Michael Lee, David Miller, Kathryn A. McGurk, Isabelle Bond, Xiao Xu, Hanane Issa, Catherine Francis, Antonio De Marvao, Pantazis I. Theotokis, Rachel J. Buchan, Doug Speed, Erik Abner, Lance Adams, Krishna G. Aragam, Johan Ärnlöv, Anna Axelsson Raja, Joshua D. Backman, John Baksi, Paul J. R. Barton, Kiran J. Biddinger, Eric Boersma, Jeffrey Brandimarto, Søren Brunak, Henning Bundgaard, David J. Carey, Philippe Charron, James P. Cook, Stuart A. Cook, Spiros Denaxas, Jean-François Deleuze, Alexander S. Doney, Perry Elliott, Christian Erikstrup, Tõnu Esko, Eric H. Farber-Eger, Chris Finan, Sophie Garnier, Jonas Ghouse, Vilmantas Giedraitis, Daniel F. Guðbjartsson, Christopher M. Haggerty, Brian P. Halliday, Anna Helgadottir, Harry Hemingway, Hans L. Hillege, Isabella Kardys, Lars Lind, Cecilia M. Lindgren, Brandon D. Lowery, Charlotte Manisty, Kenneth B. Margulies, James C. Moon, Ify R. Mordi, Michael P. Morley, Andrew D. Morris, Andrew P. Morris, Lori Morton, Mahdad Noursadeghi, Sisse R. Ostrowski, Anjali T. Owens, Colin N. A. Palmer, Antonis Pantazis, Ole B. V. Pedersen, Sanjay K. Prasad, Akshay Shekhar, Diane T. Smelser, Sundararajan Srinivasan, Kari Stefansson, Garðar Sveinbjörnsson, Petros Syrris, Mari-Liis Tammesoo, Upasana Tayal, Maris Teder-Laving, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Vinicius Tragante, David-Alexandre Trégouët, Thomas A. Treibel, Henrik Ullum, Ana M. Valdes, Jessica van Setten, Marion van Vugt, Abirami Veluchamy, W. M. Monique Verschuren, Eric Villard, Yifan Yang, COVIDsortium, DBDS Genomic Consortium, Estonian Biobank Research Team, HERMES Consortium, Folkert W. Asselbergs, Thomas P. Cappola, Marie-Pierre Dube, Michael E. Dunn, Patrick T. Ellinor, Aroon D. Hingorani, Chim C. Lang, Nilesh J. Samani, Svati H. Shah, J. Gustav Smith, Ramachandran S. Vasan, Declan P. O’Regan, Hilma Holm, Michela Noseda, Quinn Wells, James S. Ware, R. Thomas Lumbers
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引用次数: 0

摘要

扩张型心肌病(DCM)是导致心力衰竭和心脏移植的主要原因。我们报告了一项全基因组关联研究以及对 DCM(14256 例)和三种左心室特征(36203 名英国生物库参与者)的多特征分析。我们确定了 80 个基因组风险位点,并对 62 个可能的效应基因进行了优先排序,其中包括几个与 DCM 相关的罕见变异基因(MAP3K7、NEDD4L 和 SSPN)。利用单核转录组学,我们确定了驱动发病机制的细胞状态、生物通路和细胞内通讯。我们证明,多基因评分可预测普通人群中的 DCM,并可改变罕见 DCM 变异携带者的穿透性。我们的研究结果可为设计包含多基因背景的基因检测策略提供参考。我们的研究结果还提供了对 DCM 分子病因学的见解,这可能会促进靶向疗法的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy

Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy

Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy
Dilated cardiomyopathy (DCM) is a leading cause of heart failure and cardiac transplantation. We report a genome-wide association study and multi-trait analysis of DCM (14,256 cases) and three left ventricular traits (36,203 UK Biobank participants). We identified 80 genomic risk loci and prioritized 62 putative effector genes, including several with rare variant DCM associations (MAP3K7, NEDD4L and SSPN). Using single-nucleus transcriptomics, we identify cellular states, biological pathways, and intracellular communications that drive pathogenesis. We demonstrate that polygenic scores predict DCM in the general population and modify penetrance in carriers of rare DCM variants. Our findings may inform the design of genetic testing strategies that incorporate polygenic background. They also provide insights into the molecular etiology of DCM that may facilitate the development of targeted therapeutics. Genome-wide association analyses comprising 14,256 cases and 1,199,156 controls and incorporating correlated cardiac magnetic resonance imaging traits provide insights into the molecular etiology of dilated cardiomyopathy.
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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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