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ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals

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  • Nathan A Bihlmeyer
  • Jennifer A Brody
  • Albert Vernon Smith
  • Helen R Warren
  • Honghuang Lin
  • Aaron Isaacs
  • Ching-Ti Liu
  • Jonathan Marten
  • Farid Radmanesh
  • Leanne M Hall
  • Niels Grarup
  • Hao Mei
  • Martina Müller-Nurasyid
  • Jennifer E Huffman
  • Niek Verweij
  • Xiuqing Guo
  • Jie Yao
  • Ruifang Li-Gao
  • Marten van den Berg
  • Stefan Weiss
  • Bram P Prins
  • Jessica van Setten
  • Jeffrey Haessler
  • Leo-Pekka Lyytikäinen
  • Man Li
  • Alvaro Alonso
  • Elsayed Z Soliman
  • Joshua C Bis
  • Tom Austin
  • Yii-Der Ida Chen
  • Bruce M Psaty
  • Tamara B Harrris
  • Lenore J Launer
  • Sandosh Padmanabhan
  • Anna Dominiczak
  • Paul L Huang
  • Zhijun Xie
  • Patrick T Ellinor
  • Jan A Kors
  • Alison D Murray
  • Christopher P Nelson
  • Martin D Tobin
  • Jette Bork-Jensen
  • Torben Hansen
  • Oluf Pedersen
  • Allan Linneberg
  • Moritz F Sinner
  • Annette Peters
  • Melanie Waldenberger
  • Thomas Meitinger
  • Siegfried Perz
  • Ivana Kolcic
  • Rudolf A de Boer
  • Peter van der Meer
  • Henry J Lin
  • Kent D Taylor
  • Renée de Mutsert
  • Stella Trompet
  • J Wouter Jukema
  • Arie C Maan
  • Bruno H C Stricker
  • Fernando Rivadeneira
  • André Uitterlinden
  • Uwe Völker
  • Georg Homuth
  • Henry Völzke
  • Stephan B Felix
  • Massimo Mangino
  • Timothy D Spector
  • Michiel L Bots
  • Marco Perez
  • Olli T Raitakari
  • Mika Kähönen
  • Nina Mononen
  • Vilmundur Gudnason
  • Patricia B Munroe
  • Steven A Lubitz
  • Cornelia M van Duijn
  • Christopher H Newton-Cheh
  • Jonathan Rosand
  • Nilesh J Samani
  • Jørgen K Kanters
  • Stefan Kääb
  • Pim van der Harst
  • Susan R Heckbert
  • Jerome I Rotter
  • Dennis O Mook-Kanamori
  • Mark Eijgelsheim
  • Marcus Dörr
  • Yalda Jamshidi
  • Folkert W Asselbergs
  • Charles Kooperberg
  • Terho Lehtimäki
  • Dan E Arking
  • Nona Sotoodehnia

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Original languageEnglish
Pages (from-to)e001758
Number of pages65
JournalCirculation: Genomic and Precision Medicine
Issue number1
Early online date11 Jan 2018
Publication statusPublished - 11 Jan 2018


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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