1. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6
- Author
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Prins, Bram P, Mead, Timothy J, Brody, Jennifer A, Sveinbjornsson, Gardar, Ntalla, Ioanna, Bihlmeyer, Nathan A, van den Berg, Marten, Bork-Jensen, Jette, Cappellani, Stefania, Van Duijvenboden, Stefan, Klena, Nikolai T, Gabriel, George C, Liu, Xiaoqin, Gulec, Cagri, Grarup, Niels, Haessler, Jeffrey, Hall, Leanne M, Iorio, Annamaria, Isaacs, Aaron, Li-Gao, Ruifang, Lin, Honghuang, Liu, Ching-Ti, Lyytikäinen, Leo-Pekka, Marten, Jonathan, Mei, Hao, Müller-Nurasyid, Martina, Orini, Michele, Padmanabhan, Sandosh, Radmanesh, Farid, Ramirez, Julia, Robino, Antonietta, Schwartz, Molly, van Setten, Jessica, Smith, Albert V, Verweij, Niek, Warren, Helen R, Weiss, Stefan, Alonso, Alvaro, Arnar, David O, Bots, Michiel L, de Boer, Rudolf A, Dominiczak, Anna F, Eijgelsheim, Mark, Ellinor, Patrick T, Guo, Xiuqing, Felix, Stephan B, Harris, Tamara B, Hayward, Caroline, Heckbert, Susan R, Huang, Paul L, Jukema, JW, Kähönen, Mika, Kors, Jan A, Lambiase, Pier D, Launer, Lenore J, Li, Man, Linneberg, Allan, Nelson, Christopher P, Pedersen, Oluf, Perez, Marco, Peters, Annette, Polasek, Ozren, Psaty, Bruce M, Raitakari, Olli T, Rice, Kenneth M, Rotter, Jerome I, Sinner, Moritz F, Soliman, Elsayed Z, Spector, Tim D, Strauch, Konstantin, Thorsteinsdottir, Unnur, Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Vaartjes, Ilonca, van der Meer, Peter, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Wilson, James G, Xie, Zhijun, Asselbergs, Folkert W, Dörr, Marcus, van Duijn, Cornelia M, Gasparini, Paolo, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Hansen, Torben, Kääb, Stefan, Kanters, Jørgen K, Kooperberg, Charles, Lehtimäki, Terho, Lin, Henry J, Lubitz, Steven A, Mook-Kanamori, Dennis O, Conti, Francesco J, Newton-Cheh, Christopher H, Rosand, Jonathan, Rudan, Igor, and Samani, Nilesh J
- Subjects
Male ,Bioinformatics ,Gene Expression ,Black People ,Conduction ,Cardiovascular ,White People ,Mice ,Electrocardiography ,Open Reading Frames ,ADAMTS Proteins ,Heart Conduction System ,Information and Computing Sciences ,Exome Sequencing ,Genetics ,Animals ,Humans ,2.1 Biological and endogenous factors ,Exome ,Polymorphism ,Aetiology ,Myocardium ,Gene Expression Profiling ,Human Genome ,Single Nucleotide ,Middle Aged ,Biological Sciences ,Exome chip ,Meta-analysis ,Heart Disease ,Genetic Loci ,Connexin 43 ,ADAMTS6 ,Female ,Environmental Sciences ,Genome-Wide Association Study - Abstract
BackgroundGenome-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.ResultsHere, 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 111,874individuals 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.ConclusionsOur approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.
- Published
- 2018