A descriptive analysis on type 2 diabetes in twins in China.
10.3760/cma.j.cn112338-20210705-00520
- Author:
Ke ZHENG
1
;
Wen Jing GAO
1
;
Jun LYU
1
;
Can Qing YU
1
;
Sheng Feng WANG
1
;
Tao HUANG
1
;
Dian Jian Yi SUN
1
;
Chun Xiao LIAO
1
;
Yuan Jie PANG
1
;
Zeng Chang PANG
2
;
Min YU
3
;
Hua WANG
4
;
Xian Ping WU
5
;
Zhong DONG
6
;
Fan WU
7
;
Guo Hong JIANG
8
;
Xiao Jie WANG
9
;
Yu LIU
10
;
Jian DENG
11
;
Lin LU
12
;
Wei Hua CAO
1
;
Li Ming LI
1
Author Information
1. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
2. Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China.
3. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
4. Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
5. Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China.
6. Beijing Center for Disease Prevention and Control, Beijing 100013, China.
7. Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.
8. Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China.
9. Qinghai Center for Diseases Prevention and Control, Xining 810007, China.
10. Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150090, China.
11. Handan Center for Disease Control and Prevention, Handan 056001, China.
12. Yunnan Center for Disease Control and Prevention, Kunming 650034, China.
- Publication Type:Twin Study
- MeSH:
Adult;
China/epidemiology*;
Diabetes Mellitus, Type 2/genetics*;
Diseases in Twins/genetics*;
Female;
Humans;
Male;
Middle Aged;
Registries;
Twins, Dizygotic;
Twins, Monozygotic/genetics*
- From:
Chinese Journal of Epidemiology
2022;43(5):634-640
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To describe the distribution characteristics of type 2 diabetes in twins in Chinese National Twin Registry (CNTR), provide clues and evidence for revealing the influence of genetic and environmental factors for type 2 diabetes. Methods: Of all twins registered in the CNTR during 2010-2018, a total 18 855 twin pairs aged ≥30 years with complete registration information were included in the analysis. The random effect model was used to describe the population and area distribution characteristics and concordance of type 2 diabetes in twin pairs. Results: The mean age of the subjects was (42.8±10.2) years, the study subjects included 10 339 monozygotic (MZ) twin pairs and 8 516 dizygotic (DZ) twin pairs. The self-reported prevalence rate of type 2 diabetes was 2.2% in total population and there was no sighificant difference between MZ and DZ. Intra-twin pairs analysis showed that the concordance rate of type 2 diabetes was 38.2% in MZ twin pairs, and 16.0% in DZ twin pairs, the difference was statistically significant (P<0.001). The concordance rate of type 2 diabetes in MZ twin parts was higher than that in DZ twin pairs in both men and women, in different age groups and in different areas (P<0.05). Further stratified analysis showed that in northern China, only MZ twin pairs less than 60 years old were found to have a higher concordance rate of type 2 diabetes compared with DZ twin pairs (P<0.05). In southern China, the co-prevalence rate in male MZ twin pairs aged ≥60 years was still higher than that in DZ twin pairs (P<0.05). Conclusion: The twin pairs in this study had a lower self-reported prevalence of type 2 diabetes than the general population. The study results suggested that genetic factors play a role in type 2 diabetes prevalence in both men and women, in different age groups and in different areas, however, the effect might vary.
