학술논문

Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6
Document Type
article
Author
Bram P. PrinsTimothy J. MeadJennifer A. BrodyGardar SveinbjornssonIoanna NtallaNathan A. BihlmeyerMarten van den BergJette Bork-JensenStefania CappellaniStefan Van DuijvenbodenNikolai T. KlenaGeorge C. GabrielXiaoqin LiuCagri GulecNiels GrarupJeffrey HaesslerLeanne M. HallAnnamaria IorioAaron IsaacsRuifang Li-GaoHonghuang LinChing-Ti LiuLeo-Pekka LyytikäinenJonathan MartenHao MeiMartina Müller-NurasyidMichele OriniSandosh PadmanabhanFarid RadmaneshJulia RamirezAntonietta RobinoMolly SchwartzJessica van SettenAlbert V. SmithNiek VerweijHelen R. WarrenStefan WeissAlvaro AlonsoDavid O. ArnarMichiel L. BotsRudolf A. de BoerAnna F. DominiczakMark EijgelsheimPatrick T. EllinorXiuqing GuoStephan B. FelixTamara B. HarrisCaroline HaywardSusan R. HeckbertPaul L. HuangJ. W. JukemaMika KähönenJan A. KorsPier D. LambiaseLenore J. LaunerMan LiAllan LinnebergChristopher P. NelsonOluf PedersenMarco PerezAnnette PetersOzren PolasekBruce M. PsatyOlli T. RaitakariKenneth M. RiceJerome I. RotterMoritz F. SinnerElsayed Z. SolimanTim D. SpectorKonstantin StrauchUnnur ThorsteinsdottirAndrew TinkerStella TrompetAndré UitterlindenIlonca VaartjesPeter van der MeerUwe VölkerHenry VölzkeMelanie WaldenbergerJames G. WilsonZhijun XieFolkert W. AsselbergsMarcus DörrCornelia M. van DuijnPaolo GaspariniDaniel F. GudbjartssonVilmundur GudnasonTorben HansenStefan KääbJørgen K. KantersCharles KooperbergTerho LehtimäkiHenry J. LinSteven A. LubitzDennis O. Mook-KanamoriFrancesco J. ContiChristopher H. Newton-ChehJonathan RosandIgor RudanNilesh J. SamaniGianfranco SinagraBlair H. SmithHilma HolmBruno H. StrickerSheila UliviNona SotoodehniaSuneel S. AptePim van der HarstKari StefanssonPatricia B. MunroeDan E. ArkingCecilia W. LoYalda Jamshidi
Source
Genome Biology, Vol 19, Iss 1, Pp 1-17 (2018)
Subject
Exome chip
Conduction
ADAMTS6
Meta-analysis
Biology (General)
QH301-705.5
Genetics
QH426-470
Language
English
ISSN
1474-760X
Abstract
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.