Bivariate variance-component analysis, with application to systolic blood pressure and total cholesterol levels in the Framingham Heart Study
Bivariate variance-component analysis, with application to systolic blood pressure and total cholesterol levels in the Framingham Heart Study
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DOI：
10.1186/1471-2156-4-s1-s81
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发表时间：
2003-12-31
期刊：
影响因子：
2.9
通讯作者：
Sheffield, LJ
中科院分区：
文献类型：
--
作者：
Cui, JSS;Sheffield, LJ
工作背景：收缩压（SBP）和总胆固醇水平（CHOL）之间的相关性可能是由遗传或环境因素决定的，这些因素决定了表型的变异，并为家族成员所共有。基于330个核心家庭的心脏研究，我们使用了一个多变量的正态模型，在软件Fisher中实现，估计遗传和共享的环境成分的变化和遗传和共享的环境之间的相关性的表型。分析中使用队列1和2末次访视时测量的表型的自然对数。降压治疗效果校正前调整收缩压的年龄，性别，和cohol.Results：单变量相关系数有统计学意义的兄弟姐妹对和父母子女对，但不显着的配偶对。在双变量分析中，所有亲属对的性状间相关系数均不显著。共享的环境相关有统计学意义，但遗传相关不显着。结论：没有显着的证据表明收缩压和总胆固醇水平之间的密切遗传相关。然而，一些共同的环境因素可能决定了这两种表型的变异。
Background: The correlations between systolic blood pressure (SBP) and total cholesterol levels (CHOL) might result from genetic or environmental factors that determine variation in the phenotypes and are shared by family members. Based on 330 nuclear families in the Framingham Heart Study, we used a multivariate normal model, implemented in the software FISHER, to estimate genetic and shared environmental components of variation and genetic and shared environmental correlation between the phenotypes. The natural logarithm of the phenotypes measured at the last visit in both Cohort 1 and 2 was used in the analyses. The antihypertensive treatment effect was corrected before adjustment of the systolic blood pressure for age, sex, and cohort.Results: The univariate correlation coefficient was statistically significant for sibling pairs and parent-offspring pairs, but not significant for spouse pairs. In the bivariate analysis, the cross-trait correlation coefficients were not statistically significant for all relative pairs. The shared environmental correlation was statistically significant, but the genetic correlation was not significant.Conclusion: There is no significant evidence for a close genetic correlation between systolic blood pressure and total cholesterol levels. However, some shared environmental factors may determine the variation of both phenotypes.