ArticleJournal of the American Heart Association2018
Systems Genetics Approaches in Rat Identify Novel Genes and Gene Networks Associated With Cardiac Conduction.
Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 27 citations in OpenAlex.
- Mapping cardiac electrical abnormalities in rodents.Physiological genomics · 2025Article
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- Genetic modulation of protein expression in rat brain.iScience · 2025Article
- Pangenome reconstruction in rats enhances genotype-phenotype mapping and variant discovery.iScience · 2025Article
- Pangenome reconstruction in rats enhances genotype-phenotype mapping and novel variant discovery.bioRxiv : the preprint server for biology · 2024Article
- The regulatory landscape of multiple brain regions in outbred heterogeneous stock rats.Nucleic acids research · 2022Article
- Theory and Applications of the (Cardio) Genomic Fabric Approach to Post-Ischemic and Hypoxia-Induced Heart Failure.Journal of personalized medicine · 2022Article
- Chronically elevated branched chain amino acid levels are pro-arrhythmic.Cardiovascular research · 2022Article
- Systems genetics in the rat HXB/BXH family identifies Tti2 as a pleiotropic quantitative trait gene for adult hippocampal neurogenesis and serum glucose.PLoS genetics · 2022Article
- Acyl-CoA Binding Domain Containing 4 Polymorphism rs4986172 and Expression Can Serve as Overall Survival Biomarkers for Hepatitis B Virus-Related Hepatocellular Carcinoma Patients After Hepatectomy.Pharmacogenomics and personalized medicine · 2022Article
- An interferon-related signature characterizes the whole blood transcriptome profile of insulin-resistant individuals-the CODAM study.Genes & nutrition · 2021Article
- ESC working group on cardiac cellular electrophysiology position paper: relevance, opportunities, and limitations of experimental models for cardiac electrophysiology research.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 · 2021Review
- Development and optimization of an in vivo electrocardiogram recording method and analysis program for adult zebrafish.Disease models & mechanisms · 2021Article
- Genome-to-phenome research in rats: progress and perspectives.International journal of biological sciences · 2021Review
- The diversity of ACBD proteins - From lipid binding to protein modulators and organelle tethers.Biochimica et biophysica acta. Molecular cell research · 2020Review
- Systems Genetics Approaches in Rat Identify Novel Genes and Gene Networks Associated With Cardiac Conduction.Journal of the American Heart Association · 2018Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Electrocardiographic ( ECG ) parameters are regarded as intermediate phenotypes of cardiac arrhythmias. Insight into the genetic underpinnings of these parameters is expected to contribute to the understanding of cardiac arrhythmia mechanisms. Here we used HXB / BXH recombinant inbred rat strains to uncover genetic loci and candidate genes modulating ECG parameters. Methods and Results RR interval, PR interval, QRS duration, and QT c interval were measured from ECG s obtained in 6 male rats from each of the 29 available HXB / BXH recombinant inbred strains. Genes at loci displaying significant quantitative trait loci (QTL) effects were prioritized by assessing the presence of protein-altering variants, and by assessment of cis expression QTL ( eQTL ) effects and correlation of transcript abundance to the respective trait in the heart. Cardiac RNA -seq data were additionally used to generate gene co-expression networks. QTL analysis of ECG parameters identified 2 QTL for PR interval, respectively, on chromosomes 10 and 17. At the chromosome 10 QTL , cis- eQTL effects were identified for Acbd4, Cd300lg, Fam171a2, and Arhgap27; the transcript abundance in the heart of these 4 genes was correlated with PR interval. At the chromosome 17 QTL , a cis- eQTL was uncovered for Nhlrc1 candidate gene; the transcript abundance of this gene was also correlated with PR interval. Co-expression analysis furthermore identified 50 gene networks, 6 of which were correlated with PR interval or QRS duration, both parameters of cardiac conduction. Conclusions These newly identified genetic loci and gene networks associated with the ECG parameters of cardiac conduction provide a starting point for future studies with the potential of identifying novel mechanisms underlying cardiac electrical function.
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