Yang Lu, Zeyuan Wang, Shuyuan Zhang, Yaping Liu, Ye Jin, Zhuang Tian, Shuyang Zhang
{"title":"Genetic landscape of hereditary cardiomyopathies and arrhythmias in China.","authors":"Yang Lu, Zeyuan Wang, Shuyuan Zhang, Yaping Liu, Ye Jin, Zhuang Tian, Shuyang Zhang","doi":"10.1016/j.jgg.2025.07.003","DOIUrl":null,"url":null,"abstract":"<p><p>Hereditary cardiomyopathies and arrhythmias are major contributors to cardiovascular morbidity and mortality. The advent of next-generation sequencing (NGS) has made genetic testing more accessible, which is crucial for precise diagnosis and targeted therapeutic strategies. The aim of this study is to explore the landscape of genetic variants, the relationship between specific variants and clinical phenotypes, and the impact on clinical decision-making in China. A total of 1,536 probands (median age, 37 years; 1,025 males [66.7%]) with suspected hereditary cardiomyopathy or arrhythmia (covering 15 clinical phenotypes) are recruited from 146 hospitals across 30 provinces and cities in China. Positive results are confirmed in 390 of 1536 probands, leading to a diagnostic yield of 25.4%. Forty-two and three tenths percent (n = 169) of family members carry the same variants as positive probands. Hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) are the predominant phenotypes, with MYBPC3 variants having the highest frequency in HCM and TTN variants in DCM. In 76.9% of the positive probands, the identified variants are helpful in clinical management, family screening and fertility. This large-scale study provides significant insights into the genetic landscape of hereditary cardiomyopathies and arrhythmias in China.</p>","PeriodicalId":54825,"journal":{"name":"Journal of Genetics and Genomics","volume":" ","pages":""},"PeriodicalIF":6.6000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Genetics and Genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.jgg.2025.07.003","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Hereditary cardiomyopathies and arrhythmias are major contributors to cardiovascular morbidity and mortality. The advent of next-generation sequencing (NGS) has made genetic testing more accessible, which is crucial for precise diagnosis and targeted therapeutic strategies. The aim of this study is to explore the landscape of genetic variants, the relationship between specific variants and clinical phenotypes, and the impact on clinical decision-making in China. A total of 1,536 probands (median age, 37 years; 1,025 males [66.7%]) with suspected hereditary cardiomyopathy or arrhythmia (covering 15 clinical phenotypes) are recruited from 146 hospitals across 30 provinces and cities in China. Positive results are confirmed in 390 of 1536 probands, leading to a diagnostic yield of 25.4%. Forty-two and three tenths percent (n = 169) of family members carry the same variants as positive probands. Hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) are the predominant phenotypes, with MYBPC3 variants having the highest frequency in HCM and TTN variants in DCM. In 76.9% of the positive probands, the identified variants are helpful in clinical management, family screening and fertility. This large-scale study provides significant insights into the genetic landscape of hereditary cardiomyopathies and arrhythmias in China.
期刊介绍:
The Journal of Genetics and Genomics (JGG, formerly known as Acta Genetica Sinica ) is an international journal publishing peer-reviewed articles of novel and significant discoveries in the fields of genetics and genomics. Topics of particular interest include but are not limited to molecular genetics, developmental genetics, cytogenetics, epigenetics, medical genetics, population and evolutionary genetics, genomics and functional genomics as well as bioinformatics and computational biology.