Age-stratified heritability estimation in the Framingham Heart Study families.
Age-stratified heritability estimation in the Framingham Heart Study families.
复制标题
弗雷明汉心脏研究家庭中年龄分层的遗传力估计。
DOI：
10.1186/1471-2156-4-s1-s32
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发表时间：
2003-12-31
期刊：
影响因子：
2.9
通讯作者：
Rich, SS
中科院分区：
文献类型：
--
作者：
Brown, WM;Beck, SR;Lange, EM;Davis, CC;Kay, CM;Langefeld, CD;Rich, SS
弗雷明汉心脏研究提供了与心血管疾病危险因素相关的纵向家庭数据的独特来源。在三个年龄组（31-49岁、50-60岁和61-79岁）中获得了年龄分层遗传力估计，反映了数据的纵向性质，包括四个数量性状。年龄调整后的遗传力估计是在同一时间点对相同的四个数量性状进行的。这些群体的重要性在于它们由相同的个体组成。在所有三个年龄组中，经性别调整的模型中，身高的年龄分层遗传力估计最高（h2 = 0.88（±0.06））。在调整了性别、身高、BMI、吸烟者和饮酒者的模型中，70岁年龄组的收缩压给出了最低的遗传力估计（h2 = 0.15（±0.11））。在40岁年龄组中，BMI的估计值比先前发表的略高（h2 = 0.64（±0.11））。在性别调整模型中，身高的年龄调整遗传力估计值最高（h2 = 0.90（±0.06））。未调整模型的SBP遗传力估计最低（h2 = 0.38（±0.09））。这些结果表明，随着时间的推移，一些共同的、复杂的性状在遗传结构上可能变化不大，这表明一组共同的基因可能导致了这些纵向收集的表型的变化。
The Framingham Heart Study provides a unique source of longitudinal family data related to CVD risk factors. Age-stratified heritability estimates were obtained over three age groups (31–49 years, 50–60 years, and 61–79 years), reflecting the longitudinal nature of the data, for four quantitative traits. Age-adjusted heritability estimates were obtained at a single common time point for the same four quantitative traits. The importance of these groups is that they consist of the same individuals. The highest age-stratified heritability estimate (h2 = 0.88 (± 0.06)) was for height in the model adjusting for gender over all three age groups. SBP gave the lowest heritability estimate (h2 = 0.15 (± 0.11)) for the 70 age group in the model adjusting for gender, height, BMI, smoker, and drinker. BMI had slightly higher estimates (h2 = 0.64 (± 0.11)) in the 40 age group than previously published. The highest age-adjusted heritability estimate (h2 = 0.90 (± 0.06)) was for height in the model adjusting for gender. SBP gave the lowest heritability estimate (h2 = 0.38 (± 0.09)) for unadjusted model. These results indicate that some common, complex traits may vary little in their genetic architecture over time and suggest that a common set of genes may be contributing to observed variation for these longitudinally collected phenotypes.