Genetic and Environmental Dissections of Sub-Phenotypes of Metabolic Syndrome in the Chinese Population: A Twin-Based Heritability Study

被引:22
作者
Duan, Haiping [1 ,2 ]
Pang, Zengchang [1 ,2 ]
Zhang, Dongfeng [2 ]
Li, Shuxia [3 ]
Kruse, Torben A. [4 ]
Kyvik, Kirsten Ohm [3 ,5 ]
Christensen, Kaare [3 ,4 ,6 ]
Tan, Qihua [3 ,4 ]
机构
[1] Qingdao Univ, Coll Med, Qingdao Ctr Dis Control & Prevent, Qingdao 266033, Peoples R China
[2] Qingdao Univ, Coll Med, Dept Publ Hlth, Qingdao 266033, Peoples R China
[3] Univ So Denmark, Inst Publ Hlth, Odense, Denmark
[4] Odense Univ Hosp, Dept Clin Genet, DK-5000 Odense, Denmark
[5] Univ So Denmark, Inst Reg Hlth Serv Res, Odense, Denmark
[6] Odense Univ Hosp, Dept Clin Biochem & Pharmacol, DK-5000 Odense, Denmark
基金
中国国家自然科学基金;
关键词
Chinese twins; Metabolic syndrome; Heritability; Univariate model; Bivariate model; GLUCOSE-TOLERANCE; INSULIN SENSITIVITY; DIABETES-MELLITUS; COMPONENTS; PREVALENCE;
D O I
10.1159/000327735
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: We perform a comprehensive heritability study on multiple phenotypes related to metabolic syndrome using Chinese twins to assess the genetic and environmental effects in determining the variation and covariation of the phenotypes in the Chinese population. Methods: The studied sample contains 654 twins collected in the Qingdao municipality. A total of 10 phenotypes covering anthropometric measurements, plasma glucose levels, lipids, blood pressures etc. were examined. Univariate and bivariate structural equation models were fitted for assessing the genetic and environmental contributions. Results: The AE model combining additive genetic (A) and unique environmental (E) factors produced the best fit for all phenotypes except for triglyceride. Modest to high heritability estimates were obtained in univariate analysis ranging from 0.5 for total cholesterol to 0.78 for weight. The bivariate model estimated high genetic correlations between systolic and diastolic blood pressures, between total cholesterol and low density lipoprotein cholesterol, modest genetic correlations between BMI and blood pressures. No significant common environmental correlation was found between any pair of the phenotypes. Conclusions: Our results showed significant genetic contributions to the sub-phenotypes of metabolic syndrome. Although pleiotropic genetic control may exist for some physiologically similar phenotypes, our results do not support a common genetic mechanism among the phenotypes covered in our study.
引用
收藏
页码:99 / 104
页数:6
相关论文
共 28 条
[1]   The impact of ethnicity on type 2 diabetes [J].
Abate, N ;
Chandalia, M .
JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2003, 17 (01) :39-58
[2]   Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome? [J].
Benyamin, B. ;
Sorensen, T. I. A. ;
Schousboe, K. ;
Fenger, M. ;
Visscher, P. M. ;
Kyvik, K. O. .
DIABETOLOGIA, 2007, 50 (09) :1880-1888
[3]  
Chan J. C. N., 2000, Hong Kong Medical Journal, V6, P77
[4]  
Chen Tian-jiao, 2004, Zhonghua Yufang Yixue Zazhi, V38, P237
[5]  
CHENG TO, 2001, CIRCULATION, V103, pE103
[6]   Genetic and environmental correlations between various anthropometric and blood pressure traits among adult Samoans [J].
Choh, AC ;
Gage, TB ;
McGarvey, ST ;
Comuzzie, AG .
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 2001, 115 (04) :304-311
[7]   COMMUNITY-BASED EPIDEMIOLOGIC-STUDY ON DIABETES IN PU-LI, TAIWAN [J].
CHOU, P ;
CHEN, HH ;
HSIAO, KJ .
DIABETES CARE, 1992, 15 (01) :81-89
[8]   THE PREVALENCE OF DIABETES-MELLITUS AND IMPAIRED GLUCOSE-TOLERANCE AMONG HONG-KONG CHINESE ADULTS OF WORKING AGE [J].
COCKRAM, CS ;
WOO, J ;
LAU, E ;
CHAN, JCN ;
CHAN, AYW ;
LAU, J ;
SWAMINATHAN, R ;
DONNAN, SPB .
DIABETES RESEARCH AND CLINICAL PRACTICE, 1993, 21 (01) :67-73
[9]  
Dagogo-Jack S, 2003, J NATL MED ASSOC, V95, P774
[10]   Prevalence and heritability of the metabolic syndrome and its individual components in a Dutch isolate: the Erasmus Rucphen Family study [J].
Henneman, P. ;
Aulchenko, Y. S. ;
Frants, R. R. ;
van Dijk, K. W. ;
Oostra, B. A. ;
van Duijn, C. M. .
JOURNAL OF MEDICAL GENETICS, 2008, 45 (09) :572-577