Familial aggregation and heritability of electrocardiographic intervals and heart rate in a rural Chinese population

Ann Noninvasive Electrocardiol. 2009 Apr;14(2):147-52. doi: 10.1111/j.1542-474X.2009.00289.x.

Abstract

Background: Estimates of the genetic influences on electrocardiographic (ECG) parameters are inconsistent in previous reports, and no such studies have been performed in China. So we estimated genetic contributions to PR and QRS intervals and the rate-adjusted QT interval (Bazett's QTc) in a Chinese rural population.

Methods: A total of 2909 subjects from 847 families were enrolled in the current study. Genetic contributions to ECG parameters were estimated in two ways: correlation coefficients among family members (father-mother, parent-offspring, first sibling-other sibling) and the heritability of each of the ECG parameters.

Results: Our results showed significant correlations among family members on theses parameters: the correlation coefficients for PR interval, QRS duration, QTc interval, and HR, between parent-sibling, and sibling-sibling were 0.17 and 0.13, 0.18 and 0.23, 0.22 and 0.28, 0.19 and 0.18, respectively. The heritability for PR interval, QRS duration, QTc interval, and HR were estimated as 0.34, 0.43, 0.40, and 0.34, respectively.

Conclusion: Genetic factors, together with the environmental and other cofactors contribute no more than 60% to the variance of the ECG intervals, supporting the concept that multiple factors, including gene-gene and gene-environment interactions could influence ECG interval phenotypes, and genetic factors play a major role.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Analysis of Variance
  • Child
  • Child, Preschool
  • China / epidemiology
  • Electrocardiography / methods*
  • Female
  • Genetic Predisposition to Disease / epidemiology*
  • Genetic Predisposition to Disease / genetics*
  • Heart Rate / genetics*
  • Humans
  • Long QT Syndrome / epidemiology*
  • Long QT Syndrome / genetics
  • Male
  • Middle Aged
  • Reference Values
  • Rural Population / statistics & numerical data
  • Sex Distribution
  • Young Adult