NHLBI Family Heart Study: Objectives and design

NHLBI Family Heart Study: Objectives and design
复制标题

DOI:
10.1093/oxfordjournals.aje.a008709
复制
发表时间:
1996-06-15
影响因子:
5
通讯作者:
Williams, R
Williams, R
中科院分区:
医学2区
文献类型:
--
作者:
Higgins, M;Province, M;Williams, R

文献摘要

被引文献

相似文献

NHLBI家族心脏研究是一项多中心、基于人群的冠心病、动脉粥样硬化和心血管危险因素的遗传和非遗传决定因素研究。在第一阶段的流行病学研究中,从14592名中年参与者中随机抽取2000名参与者和2000名有冠心病家族史的参与者。来自这些个体、其父母和兄弟姐妹的病史被用来计算家庭风险评分,将报告和证实的冠心病事件的数量与基于家庭成员的大小、性别和年龄的预期数量进行比较。共有657个风险评分最高且早发性冠心病的家庭和588个随机抽样的家庭进行了临床检查,包括心电图、颈动脉超声扫描、肺活量测定、体型测量、血压、血脂、脂蛋白、止血因子、胰岛素、葡萄糖和常规化学检查。正在对选定的参与者进行进一步的生化和遗传研究。血清、血浆、淋巴细胞、红细胞和DNA被储存起来用于未来的研究,包括候选基因和匿名标记的基因分型。评估基因、共享环境和个体环境以及行为对危险因素、临床前动脉粥样硬化和冠心病的影响。计划进行连锁研究,包括数量性状位点方法。
The NHLBI Family Heart Study is a multicenter, population-based study of genetic and nongenetic determinants of coronary heart disease (CHD), atherosclerosis, and cardiovascular risk factors. In phase I, 2,000 randomly selected participants and 2,000 with family histories of CHD were identified among 14,592 middle-aged participants in epidemiologic studies. Medical histories from these individuals, their parents, and their siblings were used to calculate family risk scores that compared the number of reported and validated CHD events with the number expected based on the size, sex, and age of family members. A total of 657 families with the highest risk scores and early-onset CHD and 588 randomly sampled families had clinic examinations that included electrocardiograms, carotid artery ultrasound scans, spirometry, measurements of body size, blood pressure, lipids, lipoproteins, hemostatic factors, insulin, glucose, and routine chemistries. Additional biochemical and genetic studies are being performed on selected participants. Serum, plasma, lymphocytes, red cells, and DNA are stored for future studies, including genotyping of candidate genes and anonymous markers. Contributions of genes, shared and individual environments, and behaviors to variations in risk factors, preclinical atherosclerosis, and CHD will be estimated. Linkage studies, including the quantitative trait loci approach, are planned.