Evidence map›Paper›PMID 19419399›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2009

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

Jianping Li, Yong Huo, Yan Zhang, Zhian Fang, Jianhua Yang, Tonghua Zang, Xiping Xu, Xin Xu

Abstract read
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Wavelet Decomposition-Based Genomic Analysis of the Human Electrocardiogram.medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
  4. Familial Clustering of Cardiac Conduction Defects and Pacemaker Insertion.Circulation. Arrhythmia and electrophysiology · 2019
    Article
  5. Article
  6. Article
  7. Common SCN10A variants modulate PR interval and heart rate response during atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2014
    Article
  8. The emerging genetic landscape underlying cardiac conduction system function.Birth defects research. Part A, Clinical and molecular teratology · 2011
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jianping LiPeking University First Hospital, Department of Cardiology, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, 8 Xishiku St., Xicheng District, Beijing, China. lijianping@medmail.com.cn
Yong Huo
Yan Zhang
Zhian Fang
Jianhua Yang
Tonghua Zang
Xiping Xu
Xin Xu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimates 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.

methodsA 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.

resultsOur 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.

conclusionGenetic 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.

Indexed as

AdolescentAdultAgedAnalysis of VarianceChildChild, PreschoolChinaElectrocardiographyFemaleGenetic Predisposition to DiseaseHeart RateHumansLong QT SyndromeMaleMiddle AgedReference Values

Identifiers

PMID19419399
PMCPMC6932342

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.