Familial congenital heart disease: data collection and preliminary analysis

Author:

Wang Xike,Wang Jing,Zhao Pengjun,Guo Ying,Wu Lanping,Sun Jing,Sun Kun

Abstract

AbstractThe aim of this study was to explore genetic mechanisms of congenital heart disease by analysing family data. Families with two or more affected members were studied, and information on family history and risk factors was collected. A total of 25 families with congenital heart disease were identified, and among them the condition was confirmed in 57. The prevalence of congenital heart disease in first-degree relatives was 43.0%, that is 46 out of 107, significantly higher than that in second-degree relatives, that is, 4.4%, 11 out of 252) (χ2 = 83.897, P < 0.01). The prevalence difference between twins (90%) and siblings (62.2%) (χ2 = 4.983, P < 0.05) was also significant among first-degree relatives. Eleven families were found to have the same phenotype (44%), including ventricular septal defect in six families, atrial septal defect in two families, conotruncal defects in two families, and hypoplastic left heart syndrome in one family. Both twins were diagnosed with congenital heart disease in 8 out of 10 twin families – all eight twins were monozygotic. The cardiac phenotype of the twins was consistent in three families (37.5%). The cardiac phenotype of first- and second-degree relatives was not fully consistent with their probands. There was an increased incidence of threatened abortion in early pregnancy in patients with familial congenital heart disease when compared with sporadic congenital heart disease (χ2 = 8.704, P < 0.05). Morbidity in relatives was related to blood relationship, with a closer relationship increasing the risk of congenital heart disease. Genetic factors appear to play an important role in congenital heart disease.

Publisher

Cambridge University Press (CUP)

Subject

Cardiology and Cardiovascular Medicine,General Medicine,Pediatrics, Perinatology and Child Health

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3