Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6

作者：Bram P. Prins, Timothy J. Mead, Jennifer A. Brody, Garðar Sveinbjörnsson, Ιωάννα Ντάλλα, Nathan A. Bihlmeyer, Marten van den Berg, Jette Bork‐Jensen, Stefania Cappellani, Stefan van Duijvenboden, Nikolai Klena, George C. Gabriel, Xiaoqin Liu, Çağrı Güleç, Niels Grarup, Jeffrey Haessler, Leanne M. Hall, Annamaria Iorio, Aaron Isaacs, Ruifang Li‐Gao, Honghuang Lin, Ching‐Ti Liu, Leo‐Pekka Lyytikäinen, Jonathan Marten, Hao Mei, Martina Müller‐Nurasyid, Michele Orini, Sandosh Padmanabhan, Farid Radmanesh, Julia Ramírez, Antonietta Robino, Molly Schwartz, Jessica van Setten, Albert V. Smith, Niek Verweij, Helen R. Warren, Stefan Weiß, Álvaro Alonso, Davíð O. Arnar, Michiel L. Bots, Rudolf A. de Boer, Anna F. Dominiczak, Mark Eijgelsheim, Patrick T. Ellinor, Xiuqing Guo, Stephan B. Felix, Tamara B. Harris, Caroline Hayward, Susan R. Heckbert, Paul L. Huang, J. Wouter Jukema, Mika Kähönen, Jan A. Kors, Pier D. Lambiase, Lenore J. Launer, Man Li, Allan Linneberg, Christopher P. Nelson, Oluf Pedersen, Marco Pérez, Annette Peters, Ozren Polašek, Bruce M. Psaty, Olli T. Raitakari, Kenneth Rice, Jerome I. Rotter, Moritz F. Sinner, Elsayed Z. Soliman, Tim D. Spector, Konstantin Strauch, Unnur Þorsteinsdóttir, Andrew Tinker, Stella Trompet, André G. Uitterlinden, Ilonca Vaartjes, Peter van der Meer, Uwe Völker, Henry Völzke, Mélanie Waldenberger, James Wilson, Zhijun Xie, Folkert W. Asselbergs, Marcus Dörr, Cornelia M. van Duijn, Paolo Gasparini, Daníel F. Guðbjartsson, Vilmundur Guðnason, Torben Hansen, Stefan Kääb, Jørgen K. Kanters, Charles Kooperberg, Terho Lehtimäki, Henry J. Lin, Steven A. Lubitz, Dennis O. Mook‐Kanamori, Francesco J. Conti, Christopher Newton‐Cheh, Jonathan Rosand, Igor Rudan, Nilesh J. Samani, Gianfranco Sinagra, Blair H. Smith, Hilma Hólm, Bruno H. Stricker, Sheila Ulivi, Nona Sotoodehnia, Suneel Apte, Pim van der Harst, Kāri Stefánsson, Patricia B. Munroe, Dan E. Arking, Cecilia Lo, Yalda Jamshidi · 发表于：Genome biology · 年份：2018 · DOI：10.1186/s13059-018-1457-6 · 被引用次数：67 · 研究领域：Connexins and lens biology、Genetic Associations and Epidemiology、Wnt/β-catenin signaling in development and cancer

BACKGROUND: Genome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear. RESULTS: Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874 individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction. CONCLUSIONS: Our approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.