Bellis C, Cox H C, Dyer T D, Charlesworth J C, Begley K N, Quinlan S, Lea R A, Heath S C, Blangero J, Griffiths L R
Genomics Research Centre, Griffith Institute for Health and Medical Research, Griffith University, Gold Coast PMB 50, GCMC Bundall 9726, Gold Coast, Australia.
Hum Genet. 2008 Dec;124(5):543-52. doi: 10.1007/s00439-008-0580-y. Epub 2008 Oct 31.
To understand the underlying genetic architecture of cardiovascular disease (CVD) risk traits, we undertook a genome-wide linkage scan to identify CVD quantitative trait loci (QTLs) in 377 individuals from the Norfolk Island population. The central aim of this research focused on the utilization of a genetically and geographically isolated population of individuals from Norfolk Island for the purposes of variance component linkage analysis to identify QTLs involved in CVD risk traits. Substantial evidence supports the involvement of traits such as systolic and diastolic blood pressures, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, body mass index and triglycerides as important risk factors for CVD pathogenesis. In addition to the environmental influences of poor diet, reduced physical activity, increasing age, cigarette smoking and alcohol consumption, many studies have illustrated a strong involvement of genetic components in the CVD phenotype through family and twin studies. We undertook a genome scan using 400 markers spaced approximately 10 cM in 600 individuals from Norfolk Island. Genotype data was analyzed using the variance components methods of SOLAR. Our results gave a peak LOD score of 2.01 localizing to chromosome 1p36 for systolic blood pressure and replicated previously implicated loci for other CVD relevant QTLs.
为了解心血管疾病(CVD)风险性状的潜在遗传结构,我们对诺福克岛人群中的377名个体进行了全基因组连锁扫描,以识别CVD数量性状基因座(QTL)。本研究的核心目标是利用来自诺福克岛的遗传和地理隔离个体群体,进行方差成分连锁分析,以识别参与CVD风险性状的QTL。大量证据支持收缩压和舒张压、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇、体重指数和甘油三酯等性状作为CVD发病机制的重要风险因素。除了不良饮食、体力活动减少、年龄增长、吸烟和饮酒等环境影响外,许多研究通过家族和双胞胎研究表明遗传成分在CVD表型中起着重要作用。我们使用在来自诺福克岛的600名个体中约每隔10 cM间隔一个的400个标记进行了基因组扫描。使用SOLAR的方差成分方法分析基因型数据。我们的结果显示收缩压在1p36染色体上的最高LOD得分为2.01,并复制了先前与其他CVD相关QTL有关的位点。