Prevalence and spectrum of GJA5 mutations associated with lone atrial fibrillation

Hai-Feng Shi1, Jie-Fu Yang, Qian Wang

  • 1Department of Cardiology, Beijing Hospital, Beijing 100730, PR China.

Insights

Genetic analysis identified four novel GJA5 mutations in patients with atrial fibrillation (AF). These findings expand the known genetic causes of AF and may inform personalized rhythm control strategies.

Area of Science:

  • Cardiovascular Genetics
  • Cardiac Electrophysiology
  • Molecular Cardiology

Background:

  • Atrial fibrillation (AF) is a prevalent cardiac arrhythmia contributing significantly to cardiovascular morbidity and mortality.
  • A substantial genetic basis underlies AF, yet hereditary factors remain unidentified in most cases.
  • GJA5, encoding cardiac gap junction protein alpha 5, is atrial-specific and crucial for coordinated electrical activation, making it a candidate gene for AF.

Purpose of the Study:

  • To investigate the role of the GJA5 gene as a potential cause of lone atrial fibrillation.
  • To identify novel mutations within the GJA5 gene associated with AF.
  • To analyze the segregation of identified mutations within affected families.

Main Methods:

  • Sequencing of the entire coding region and splice sites of the GJA5 gene in 310 unrelated AF patients.
  • Genotyping of relatives of mutation carriers and 200 healthy controls for identified mutations.
  • Analysis of mutation prevalence and conservation of affected amino acid residues.

Main Results:

  • Four novel heterozygous GJA5 mutations (p.K107R, p.L223M, p.Q236H, p.I257L) were identified in 4 out of 310 AF patients (~1.29% prevalence).
  • Segregation analysis confirmed that each missense mutation was present in all affected family members.
  • The identified mutations, except for p.I257L, altered highly conserved amino acids across species.

Conclusions:

  • This study expands the spectrum of GJA5 mutations linked to atrial fibrillation.
  • The findings provide new insights into the molecular genetic basis of AF.
  • These results suggest potential for developing gene-specific rhythm control strategies for AF patients.

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