Quantitative genetic analysis of blood pressure reactivity to orthostatic tilt using principal components analysis.
Quantitative genetic analysis of blood pressure reactivity to orthostatic tilt using principal components analysis.
复制标题
使用主成分分析对血压对直立倾斜的反应性进行定量遗传分析。
DOI：
10.1038/sj.jhh.1001975
复制
发表时间：
2006
影响因子：
2.7
通讯作者：
Siervogel,RM
中科院分区：
文献类型：
--
作者：
Choh,AC;Czerwinski,SA;Lee,M;Demerath,EW;Cole,SA;Wilson,AF;Towne,B;Siervogel,RM
血压（BP）对直立倾斜的反应性可能预示着心血管疾病。然而，遗传和环境对BP倾斜反应的影响还没有得到很好的研究。识别不同的影响BP在休息和BP在倾斜是复杂的多个测量之间的相互关系。在这项研究中，我们使用主成分分析（PCA），以减少多变量BP数据成组件是正交的。本研究的目的是表征和检查BP在休息和头高位倾斜（HUT）期间的遗传结构。具体来说，我们估计的遗传力的个人BP措施和三个主成分（PC）来自多个BP测量在HUT。此外，我们估计协变量对这些性状的影响。研究样本包括444个个体，分布在四个大家庭中。HUT包括70个头戴式倾斜检查床，同时捆绑在倾斜检查床上。BP反应性（ΔBP）定义为HUT期间的BP减去仰卧位时的BP。从主成分分析中提取的3个主成分分别解释为“总BP”（PC1）、“脉压”（PC2）和“BP反应性”（PC3）。用方差分量法估计静息血压、HUTBP、ΔBP和3个BP PC的遗传力。除1、3 min收缩压ΔBP和2 min舒张压ΔBP外，所有血压测量值均具有显著的遗传性（P< 0.05）。这些正交分量中的每一个都受到稍微不同的协变量集的显著影响。
Blood pressure (BP) reactivity to orthostatic tilt may be predictive of cardiovascular disease. However, the genetic and environmental influences on BP reactivity to tilt have not been well examined. Identifying different influences on BP at rest and BP during tilt is complicated by the intercorrelation among multiple measurements. In this study, we use principal components analysis (PCA) to reduce multivariate BP data into components that are orthogonal. The objective of this study is to characterize and examine the genetic architecture of BP at rest and during head-up tilt (HUT). Specifically, we estimate the heritability of individual BP measures and three principal components (PC) derived from multiple BP measurements during HUT. Additionally, we estimate covariate effects on these traits. The study sample consisted of 444 individuals, distributed across four large families. HUT consisted of 70 head-up table tilting while strapped to a tilt table. BP reactivity (ΔBP) was defined as BP during HUT minus BP while supine. Three PC extracted from the PCA were interpreted as ‘general BP’(PC1),‘pulse pressure’(PC2) and ‘BP reactivity’(PC3). Variance components methods were used to estimate the heritabilities of resting BP, HUT BP, ΔBP, as well as the three BP PC. Significant (P< 0.05) heritabilities were found for all BP measurements, except for systolic ΔBP at 1 and 3 min, and diastolic ΔBP at 2 min. Significant genetic effects were also found for the three PC. Each of these orthogonal components is significantly influenced by somewhat different sets of covariates.