Related Experiment Video
Updated: Oct 12, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Genetic and Metabolic Determinants of Atrial Fibrillation in a General Population Sample: The CHRIS Study
David B Emmert1, Vladimir Vukovic1,2, Nikola Dordevic1
1Eurac Research, Institute for Biomedicine (Affiliated to the University of Lübeck), 39100 Bolzano, Italy.
Insights
This study identified two novel genetic loci and a specific metabolite linked to atrial fibrillation (AF), a common heart rhythm disorder. These findings advance understanding of AF
Area of Science:
- Genetics and Genomics
- Metabolomics
- Cardiovascular Research
Background:
- Atrial fibrillation (AF) is a prevalent arrhythmia associated with significant health risks.
- Limited understanding of AF's underlying genetic and metabolic mechanisms hinders effective treatment.
- Population-based studies are crucial for uncovering complex disease determinants.
Purpose of the Study:
- To investigate the genetic and metabolic factors contributing to atrial fibrillation.
- To identify novel genetic loci and metabolic signatures associated with AF in a general population.
- To explore the combined utility of genomic and metabolomic approaches in AF research.
Main Methods:
- Conducted a genome-wide association scan (GWAS) in 10,509 individuals from the Cooperative Health Research in South Tyrol study.
- Performed targeted metabolic screening of 175 metabolites in a subset of participants.
- Utilized familial aggregation analysis and Sanger sequencing for genetic validation.
Main Results:
- Identified two novel genetic loci near SNPs rs745582874 (gene PBX1) and rs768476991 (gene PCCA) associated with AF.
- Observed significantly lower concentrations of lysophosphatidylcholine lysoPC a C20:3 in AF cases compared to controls (p-adj = 0.005).
- Found enrichment of risk alleles in familial AF cases, supporting the identified genetic associations.
Conclusions:
- The identified GWAS loci represent potential novel rare genetic determinants for atrial fibrillation.
- The reduced level of lysoPC a C20:3 suggests a metabolic link to AF pathophysiology.
- Combined genomic and metabolomic analyses provide valuable insights into AF in large-scale population studies.
Abstract:
Atrial fibrillation (AF) is a supraventricular arrhythmia deriving from uncoordinated electrical activation with considerable associated morbidity and mortality. To expand the limited understanding of AF biological mechanisms, we performed two screenings, investigating the genetic and metabolic determinants of AF in the Cooperative Health Research in South Tyrol study. We found 110 AF cases out of 10,509 general population individuals. A genome-wide association scan (GWAS) identified two novel loci (p-value < 5 × 10-8) around SNPs rs745582874, next to gene PBX1, and rs768476991, within gene PCCA, with genotype calling confirmed by Sanger sequencing. Risk alleles at both SNPs were enriched in a family detected through familial aggregation analysis of the phenotype, and both rare alleles co-segregated with AF. The metabolic screening of 175 metabolites, in a subset of individuals, revealed a 41% lower concentration of lysophosphatidylcholine lysoPC a C20:3 in AF cases compared to controls (p-adj = 0.005). The genetic findings, combined with previous evidence, indicate that the two identified GWAS loci may be considered novel genetic rare determinants for AF. Considering additionally the association of lysoPC a C20:3 with AF by metabolic screening, our results demonstrate the valuable contribution of the combined genomic and metabolomic approach in studying AF in large-scale population studies.
Related Concept Videos
ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Mechanism of Cardiac Arrhythmias
Coronary Artery Disease I: Introduction
Dysrhythmias IV: Characteristics of Bradyarrhythmias
Factors Influencing Heart Rate
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...

