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基于结构方程模型的代谢综合征全基因组扫描

Structural equation model-based genome scan for the metabolic syndrome.

作者信息

Stein Catherine M, Song Yeunjoo, Elston Robert C, Jun Gyungah, Tiwari Hemant K, Iyengar Sudha K

机构信息

Department of Epidemiology and Biostatistics, Case Western Reserve University 2500 MetroHealth Dr, R258 Rammelkamp Building, Cleveland, Ohio, USA.

出版信息

BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S99. doi: 10.1186/1471-2156-4-S1-S99.

DOI:10.1186/1471-2156-4-S1-S99
PMID:14975167
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1866540/
Abstract

BACKGROUND

The metabolic syndrome is characterized by the clustering of several traits, including obesity, hypertension, decreased levels of HDL cholesterol, and increased levels of glucose and triglycerides. Because these traits cluster, there are likely common genetic factors involved.

RESULTS

We used a multivariate structural equation model (SEM) approach to scan the genome for loci involved in the metabolic syndrome. We found moderate evidence for linkage on chromosomes 2, 3, 11, 13, and 15, and these loci appear to have different relative effects on the component traits of the metabolic syndrome.

CONCLUSION

Our results suggest that the metabolic syndrome components, diabetes, obesity, and hypertension, are under the pleiotropic control of several loci.

摘要

背景

代谢综合征的特征是多种特征聚集，包括肥胖、高血压、高密度脂蛋白胆固醇水平降低以及血糖和甘油三酯水平升高。由于这些特征聚集在一起，可能存在共同的遗传因素。

结果

我们使用多变量结构方程模型（SEM）方法扫描基因组中与代谢综合征相关的基因座。我们在2号、3号、11号、13号和15号染色体上发现了中等程度的连锁证据，并且这些基因座似乎对代谢综合征的组成特征有不同的相对影响。

结论

我们的结果表明，代谢综合征的组成部分，即糖尿病、肥胖和高血压，受多个基因座的多效性控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c1/1866540/d29bd84efa95/1471-2156-4-S1-S99-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c1/1866540/d29bd84efa95/1471-2156-4-S1-S99-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c1/1866540/d29bd84efa95/1471-2156-4-S1-S99-1.jpg

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