ArticleHuman genetics2015
Heritabilities, proportions of heritabilities explained by GWAS findings, and implications of cross-phenotype effects on PR interval.
Article in Human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled 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.
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.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits.European journal of human genetics : EJHG · 2019Pooled it
- Common and Rare Coding Genetic Variation Underlying the Electrocardiographic PR Interval.Circulation. Genomic and precision medicine · 2018Pooled it
- Wavelet Decomposition-Based Genomic Analysis of the Human Electrocardiogram.medRxiv : the preprint server for health sciences · 2026Article
- Evolutionary Origins of Metabolic Reprogramming in Cancer.International journal of molecular sciences · 2022Review
- Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways.Nature communications · 2022Article
- P-wave signal-averaged electrocardiography: Reference values, clinical correlates, and heritability in the Framingham Heart Study.Heart rhythm · 2021Observational
- A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population.Scientific reports · 2021Article
- Multi-Ethnic Genome-Wide Association Study of Decomposed Cardioelectric Phenotypes Illustrates Strategies to Identify and Characterize Evidence of Shared Genetic Effects for Complex Traits.Circulation. Genomic and precision medicine · 2020Article
- Genome-wide association studies of cardiac electrical phenotypes.Cardiovascular research · 2020Review
- Familial Clustering of Cardiac Conduction Defects and Pacemaker Insertion.Circulation. Arrhythmia and electrophysiology · 2019Article
- Age-related late-onset disease heritability patterns and implications for genome-wide association studies.PeerJ · 2019Article
- Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology.The pharmacogenomics journal · 2018Article
- A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy.BMC medical genomics · 2018Article
- Missing heritability of complex diseases: Enlightenment by genetic variants from intermediate phenotypes.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016Review
- A Combined Linkage and Exome Sequencing Analysis for Electrocardiogram Parameters in the Erasmus Rucphen Family Study.Frontiers in genetics · 2016Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrocardiogram (ECG) measurements are a powerful tool for evaluating cardiac function and are widely used for the diagnosis and prediction of a variety of conditions, including myocardial infarction, cardiac arrhythmias, and sudden cardiac death. Recently, genome-wide association studies (GWASs) identified a large number of genes related to ECG parameter variability, specifically for the QT, QRS, and PR intervals. The aims of this study were to establish the heritability of ECG traits, including indices of left ventricular hypertrophy, and to directly assess the proportion of those heritabilities explained by GWAS variants. These analyses were conducted in a large, Dutch family-based cohort study, the Erasmus Rucphen Family study using variance component methods implemented in the SOLAR (Sequential Oligogenic Linkage Analysis Routines) software package. Heritability estimates ranged from 34% for QRS and Cornell voltage product to 49% for 12-lead sum. Trait-specific GWAS findings for each trait explained a fraction of their heritability (17% for QRS, 4% for QT, 2% for PR, 3% for Sokolow-Lyon index, and 4% for 12-lead sum). The inclusion of all ECG-associated single nucleotide polymorphisms explained an additional 6% of the heritability of PR. In conclusion, this study shows that, although GWAS explain a portion of ECG trait variability, a large amount of heritability remains to be explained. In addition, larger GWAS for PR are likely to detect loci already identified, particularly those observed for QRS and 12-lead sum.
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Registered trials
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.