Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/100157
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Type: Journal article
Title: Heritability of ECG biomarkers in the Netherlands twin registry measured from Holter ECGs
Author: Hodkinson, E.
Neijts, M.
Sadrieh, A.
Imtiaz, M.
Baumert, M.
Subbiah, R.
Hayward, C.
Boomsma, D.
Willemsen, G.
Vandenberg, J.
Hill, A.
De Geus, E.
Citation: Frontiers in Physiology, 2016; 7(APR):154-1-154-9
Publisher: Frontiers Media SA
Issue Date: 2016
ISSN: 1664-042X
1664-042X
Statement of
Responsibility: 
Emily C. Hodkinson, Melanie Neijts, Arash Sadrieh, Mohammad S. Imtiaz, Mathias Baumert, Rajesh N. Subbiah, Christopher S. Hayward, Dorret Boomsma, Gonneke Willemsen, JamieI.Vandenberg, Adam P. Hill, and Eco De Geus
Abstract: Introduction: The resting ECG is the most commonly used tool to assess cardiac electrophysiology. Previous studies have estimated heritability of ECG parameters based on these snapshots of the cardiac electrical activity. In this study we set out to determine whether analysis of heart rate specific data from Holter ECGs allows more complete assessment of the heritability of ECG parameters. Methods and Results: Holter ECGs were recorded from 221 twin pairs and analyzed using a multi-parameter beat binning approach. Heart rate dependent estimates of heritability for QRS duration, QT interval, Tpeak-Tend and Theight were calculated using structural equation modeling. QRS duration is largely determined by environmental factors whereas repolarization is primarily genetically determined. Heritability estimates of both QT interval and Theight were significantly higher when measured from Holter compared to resting ECGs and the heritability estimate of each was heart rate dependent. Analysis of the genetic contribution to correlation between repolarization parameters demonstrated that covariance of individual ECG parameters at different heart rates overlap but at each specific heart rate there was relatively little overlap in the genetic determinants of the different repolarization parameters. Conclusions: Here we present the first study of heritability of repolarization parameters measured from Holter ECGs. Our data demonstrate that higher heritability can be estimated from the Holter than the resting ECG and reveals rate dependence in the genetic-environmental determinants of the ECG that has not previously been tractable. Future applications include deeper dissection of the ECG of participants with inherited cardiac electrical disease.
Keywords: ECG; heritability; human genetics; twins; Holter electrocardiogram
Rights: Copyright © 2016 Hodkinson, Neijts, Sadrieh, Imtiaz, Baumert, Subbiah, Hayward, Boomsma, Willemsen, Vandenberg, Hill and De Geus. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.|
DOI: 10.3389/fphys.2016.00154
Grant ID: http://purl.org/au-research/grants/nhmrc/1006016
http://purl.org/au-research/grants/arc/FT110100075
http://purl.org/au-research/grants/nhmrc/1019693
Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

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