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


ABSTRACT: 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.

SUBMITTER: Prins BP 

PROVIDER: S-EPMC6048820 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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

Prins Bram P BP   Mead Timothy J TJ   Brody Jennifer A JA   Sveinbjornsson Gardar G   Ntalla Ioanna I   Bihlmeyer Nathan A NA   van den Berg Marten M   Bork-Jensen Jette J   Cappellani Stefania S   Van Duijvenboden Stefan S   Klena Nikolai T NT   Gabriel George C GC   Liu Xiaoqin X   Gulec Cagri C   Grarup Niels N   Haessler Jeffrey J   Hall Leanne M LM   Iorio Annamaria A   Isaacs Aaron A   Li-Gao Ruifang R   Lin Honghuang H   Liu Ching-Ti CT   Lyytikäinen Leo-Pekka LP   Marten Jonathan J   Mei Hao H   Müller-Nurasyid Martina M   Orini Michele M   Padmanabhan Sandosh S   Radmanesh Farid F   Ramirez Julia J   Robino Antonietta A   Schwartz Molly M   van Setten Jessica J   Smith Albert V AV   Verweij Niek N   Warren Helen R HR   Weiss Stefan S   Alonso Alvaro A   Arnar David O DO   Bots Michiel L ML   de Boer Rudolf A RA   Dominiczak Anna F AF   Eijgelsheim Mark M   Ellinor Patrick T PT   Guo Xiuqing X   Felix Stephan B SB   Harris Tamara B TB   Hayward Caroline C   Heckbert Susan R SR   Huang Paul L PL   Jukema J W JW   Kähönen Mika M   Kors Jan A JA   Lambiase Pier D PD   Launer Lenore J LJ   Li Man M   Linneberg Allan A   Nelson Christopher P CP   Pedersen Oluf O   Perez Marco M   Peters Annette A   Polasek Ozren O   Psaty Bruce M BM   Raitakari Olli T OT   Rice Kenneth M KM   Rotter Jerome I JI   Sinner Moritz F MF   Soliman Elsayed Z EZ   Spector Tim D TD   Strauch Konstantin K   Thorsteinsdottir Unnur U   Tinker Andrew A   Trompet Stella S   Uitterlinden André A   Vaartjes Ilonca I   van der Meer Peter P   Völker Uwe U   Völzke Henry H   Waldenberger Melanie M   Wilson James G JG   Xie Zhijun Z   Asselbergs Folkert W FW   Dörr Marcus M   van Duijn Cornelia M CM   Gasparini Paolo P   Gudbjartsson Daniel F DF   Gudnason Vilmundur V   Hansen Torben T   Kääb Stefan S   Kanters Jørgen K JK   Kooperberg Charles C   Lehtimäki Terho T   Lin Henry J HJ   Lubitz Steven A SA   Mook-Kanamori Dennis O DO   Conti Francesco J FJ   Newton-Cheh Christopher H CH   Rosand Jonathan J   Rudan Igor I   Samani Nilesh J NJ   Sinagra Gianfranco G   Smith Blair H BH   Holm Hilma H   Stricker Bruno H BH   Ulivi Sheila S   Sotoodehnia Nona N   Apte Suneel S SS   van der Harst Pim P   Stefansson Kari K   Munroe Patricia B PB   Arking Dan E DE   Lo Cecilia W CW   Jamshidi Yalda Y  

Genome biology 20180717 1


<h4>Background</h4>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.<h4>Results</h4>Here, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina Hu  ...[more]

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