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使用吉布斯抽样拟合的收缩压纵向方差成分模型。

Longitudinal variance components models for systolic blood pressure, fitted using Gibbs sampling.

作者信息

Scurrah Katrina J, Tobin Martin D, Burton Paul R

机构信息

Institute of Genetics and Department of Epidemiology and Public Health, University of Leicester, 22-28 Princess Road, Leicester, LE1 6TP, United Kingdom.

出版信息

BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S25. doi: 10.1186/1471-2156-4-S1-S25.

Abstract

This paper describes an analysis of systolic blood pressure (SBP) in the Genetic Analysis Workshop 13 (GAW13) simulated data. The main aim was to assess evidence for both general and specific genetic effects on the baseline blood pressure and on the rate of change (slope) of blood pressure with time. Generalized linear mixed models were fitted using Gibbs sampling in WinBUGS, and the additive polygenic random effects estimated using these models were then used as continuous phenotypes in a variance components linkage analysis. The first-stage analysis provided evidence for general genetic effects on both the baseline and slope of blood pressure, and the linkage analysis found evidence of several genes, again for both baseline and slope.

摘要

本文描述了对遗传分析研讨会13(GAW13)模拟数据中的收缩压(SBP)进行的分析。主要目的是评估关于基线血压以及血压随时间变化率(斜率)的一般和特定遗传效应的证据。在WinBUGS中使用吉布斯采样拟合广义线性混合模型,然后将使用这些模型估计的加性多基因随机效应用作方差成分连锁分析中的连续表型。第一阶段分析为血压的基线和斜率的一般遗传效应提供了证据,并且连锁分析也发现了几个基因的证据,同样是关于基线和斜率的。

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引用本文的文献

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本文引用的文献

1
Genetic analyses of longitudinal phenotype data: a comparison of univariate methods and a multivariate approach.
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S29. doi: 10.1186/1471-2156-4-S1-S29.
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Longitudinal variance-components analysis of the Framingham Heart Study data.
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S22. doi: 10.1186/1471-2156-4-S1-S22.
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