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Bihlmeyer, N.A.* ; Brody, J.A.* ; Smith, A.V.* ; Warren, H.R.* ; Lin, H.* ; Isaacs, A.* ; Liu, C.* ; Marten, J.* ; Radmanesh, F.* ; Hall, L.M.* ; Grarup, N.* ; Mei, H.* ; Müller-Nurasyid, M. ; Huffman, J.E.* ; Verweij, N.* ; Guo, X.* ; Yao, J.* ; Li-Gao, R.* ; van den Berg, M.* ; Weiss, S.* ; Prins, B.P.* ; van Setten, J.* ; Haessler, J.* ; Lyytikainen, L.* ; Li, M.* ; Alonso, A.* ; Soliman, E.Z.* ; Bis, J.C.* ; Austin, T.* ; Chen, Y.I.* ; Psaty, B.M.* ; Harrris, T.B.* ; Launer, L.J.* ; Padmanabhan, S.* ; Dominiczak, A.* ; Huang, P.L.* ; Xie, Z.* ; Ellinor, P.T.* ; Kors, J.A.* ; Campbell, A.* ; Murray, A.D.* ; Nelson, C.P.* ; Tobin, M.D.* ; Bork-Jensen, J.* ; Hansen, T.* ; Pedersen, O.* ; Linneberg, A.* ; Sinner, M.F.* ; Peters, A. ; Waldenberger, M. ; Meitinger, T. ; Perz, S. ; Kolcic, I.* ; Rudan, I.* ; de Boer, R.A.* ; van der Meer, P.* ; Lin, H.J.* ; Taylor, K.D.* ; de Mutsert, R.* ; Trompet, S.* ; Jukema, J.W.* ; Maan, A.C.* ; Stricker, B.H.C.* ; Rivadeneira, F.* ; Uitterlinden, A.* ; Völker, U.* ; Homuth, G.* ; Völzke, H.* ; Felix, S.B.* ; Mangino, M.* ; Spector, T.D.* ; Bots, M.L.* ; Perez, M.L.* ; Raitakari, O.T.* ; Kähönen, M.* ; Mononen, N.* ; Gudnason, V.* ; Munroe, P.B.* ; Lubitz, S.A.* ; van Duijn, C.M.* ; Newton-Cheh, C.H.* ; Hayward, C.* ; Rosand, J.* ; Samani, N.J.* ; Kanters, J.K.* ; Wilson, J.G.* ; Kääb, S.* ; Polasek, O.* ; van der Harst, P.* ; Heckbert, S.R.* ; Rotter, J.I.* ; Mook-Kanamori, D.O.* ; Eij-Gelsheim, M.* ; Dörr, M.* ; Jamshidi, Y.* ; Asselbergs, F.W.* ; Kooperberg, C.* ; Lehtimäki, T.* ; Arking, D.E.* ; Sotoodehnia, N.*

ExomeChip-wide analysis of 95 626 individuals identifies 10 novel loci associated with QT and JT intervals.

Circ. Genom. Precis. Med. 11:e001758 (2018)
Verlagsversion Forschungsdaten DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
BACKGROUND: QT interval, measured through a standard ECG, captures the time it takes for the cardiac ventricles to depolarize and repolarize. JT interval is the component of the QT interval that reflects ventricular repolarization alone. Prolonged QT interval has been linked to higher risk of sudden cardiac arrest. METHODS AND RESULTS: We performed an ExomeChip-wide analysis for both QT and JT intervals, including 209 449 variants, both common and rare, in 17 341 genes from the Illumina Infinium HumanExome BeadChip. We identified 10 loci that modulate QT and JT interval duration that have not been previously reported in the literature using single-variant statistical models in a meta-analysis of 95 626 individuals from 23 cohorts (comprised 83 884 European ancestry individuals, 9610 blacks, 1382 Hispanics, and 750 Asians). This brings the total number of ventricular repolarization associated loci to 45. In addition, our approach of using coding variants has highlighted the role of 17 specific genes for involvement in ventricular repolarization, 7 of which are in novel loci. CONCLUSIONS: Our analyses show a role for myocyte internal structure and interconnections in modulating QT interval duration, adding to previous known roles of potassium, sodium, and calcium ion regulation, as well as autonomic control. We anticipate that these discoveries will open new paths to the goal of making novel remedies for the prevention of lethal ventricular arrhythmias and sudden cardiac arrest.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Arrhythmias, Cardiac ; Death, Sudden, Cardiac ; Genetics ; Genome ; Humans; Sudden Cardiac Death; General-population; Common Variants; Cohort Profile; N-rap; Design; Health; Epidemiology; Genetics; Hypertension
Sprache englisch
Veröffentlichungsjahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 2574-8300
e-ISSN 2574-8300
Zeitschrift Circulation Genomic and precision medicine
Quellenangaben Band: 11, Heft: 1, Seiten: , Artikelnummer: e001758 Supplement: ,
Verlag Lippincott Williams & Wilkins
Verlagsort Philadelphia, Pa.
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Genetic Epidemiology (IGE)
Institute of Epidemiology (EPI)
Institute of Human Genetics (IHG)
POF Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504100-001
G-504000-001
G-504091-001
G-500700-001
G-504090-001
DOI 10.1161/CIRCGEN.117.001758
WOS ID WOS:000428988100003
PubMed ID 29874175
Erfassungsdatum 2018-06-08
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