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

Authors :
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
Samani, Nilesh J
Source :
Genome biology, vol 19, iss 1
Publication Year :
2018
Publisher :
eScholarship, University of California, 2018.

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.

Details

Database :
OpenAIRE
Journal :
Genome biology, vol 19, iss 1
Accession number :
edsair.od.......325..a8806f5d57c9f1720cf8ac9bc999e0e8