Contributions of Common, Rare, and Somatic Genetic Variants to Incidence of Atrial Fibrillation

Results of this cohort study demonstrated the complementary value of common, rare, and somatic variants in shaping genomic AF risk. Leveraging comprehensive genetic information may enhance screening and preventive interventions for AF.

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Publication Details

Journal
JAMA Cardiology
Published
2025-10-08
DOI
https://doi.org/10.1001/jamacardio.2025.3664
Citations
3
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
5.45
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article

Contributions of Common, Rare, and Somatic Genetic Variants to Incidence of Atrial Fibrillation

Tingfeng Xu, Qiuli Chen, A Yunga, Minxian Wang et al.
3 citations
JAMA Cardiology
Genetic Associations and Epidemiology
5.45
article

Contributions of Common, Rare, and Somatic Genetic Variants to Incidence of Atrial Fibrillation

Tingfeng Xu, Qiuli Chen, A Yunga, Minxian Wang, Xinyu Zhu, Hui Zhao, Shaan Khurshid, Wanqing Yin, Xiong Yang, Akl C. Fahed, Xiu‐Feng Huang, R. Zhang, Carolina Roselli, Yang Sui, Shanhui Liao, Guangyao Zhai, Patrick T. Ellinor, Min Seo Kim, Yu Kang, Pradeep Natarajan, Zhaoqi Liu
article en
3 citations

Abstract

Results of this cohort study demonstrated the complementary value of common, rare, and somatic variants in shaping genomic AF risk. Leveraging comprehensive genetic information may enhance screening and preventive interventions for AF.

JAMA CardiologyVol. 10(12)
Broad Institute (US), Harvard University (US), Chinese Academy of Sciences (CN), Wenzhou Medical University (CN), Renji Hospital (CN), Beijing Institute of Genomics (CN), Wuhan University (CN), Massachusetts General Hospital (US), Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN), Shanghai Cancer Institute (CN), Sino-Danish Centre for Education and Research (CN), Beijing Luhe Hospital Affiliated to Capital Medical University (CN), Zhongnan Hospital of Wuhan University (CN), State Key Laboratory of Oncogene and Related Genes (CN), Shanghai Center For Bioinformation Technology (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 4%
Genetic Associations and Epidemiology
5.45
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