Information

Press Release

Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction

Release:Jan 19, 2023 Update:Jan 19, 2023
  • Headline
  • Press Release

Professor Yoichiro Kamataniof the Department of Computational Biology and Medical Sciences in the Graduate School of Frontier Sciences played a leading role in the research project.

Abstruct

Atrial fibrillation (AF) is a common cardiac arrhythmia resulting in increased risk of stroke. Despite highly heritable etiology, our understanding of the genetic architecture of AF remains incomplete. Here we performed a genome-wide association study in the Japanese population comprising 9,826 cases among 150,272 individuals and identified East Asian-specific rare variants associated with AF. A cross-ancestry meta-analysis of >1 million individuals, including 77,690 cases, identified 35 new susceptibility loci. Transcriptome-wide association analysis identified IL6R as a putative causal gene, suggesting the involvement of immune responses. Integrative analysis with ChIP-seq data and functional assessment using human induced pluripotent stem cell-derived cardiomyocytes demonstrated ERRg as having a key role in the transcriptional regulation of AF-associated genes. A polygenic risk score derived from the cross-ancestry meta-analysis predicted increased risks of cardiovascular and stroke mortalities and segregated individuals with cardioembolic stroke in undiagnosed AF patients. Our results provide new biological and clinical insights into AF genetics and suggest their potential for clinical applications.

Article

Title:
Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction

Authors:
Kazuo Miyazawa, Kaoru Ito, Masamichi Ito, Zhaonan Zou, Masayuki Kubota, Seitaro Nomura, Hiroshi Matsunaga, Satoshi Koyama, Hirotaka Ieki, Masato Akiyama, Ryo Kurosawa, Hiroki Yoshida, Kouichi Ozaki, Yoshihiro Onouchi, BioBank Japan Project, Atsushi Takahashi, Koichi Matsuda, Yoshinori Murakami, Hiroyuki Aburatani, Michiaki Kubo, Yukihide Momozawa, Chikashi Terao, Shinya Oki, Hiroshi Akazawa, Yoichiro Kamatani, and Issei Komuro

Journal:
Nature Genetics

DOI:
10.1038/s41588-022-01284-9

  • hatebu
  • twitter
  • Facebook
  • LINE