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  • Title: [A descriptive analysis on type 2 diabetes in twins in China].
    Author: Zheng K, Gao WJ, Lyu CQ, Yu SF, Wang T, Huang DJY, Sun CX, Liao YJ, Pang ZC, Pang M, Yu H, Wang XP, Wu Z, Dong F, Wu GJ, Jiang XJ, Wang Y, Liu J, Deng L, Lu WH, Cao LM, Li L.
    Journal: Zhonghua Liu Xing Bing Xue Za Zhi; 2022 May 10; 43(5):634-640. PubMed ID: 35589565.
    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. 目的： 描述中国双生子登记系统（CNTR）双生子的2型糖尿病分布特征，为揭示遗传和环境因素对2型糖尿病的影响提供线索和依据。 方法： CNTR 2010-2018年项目登记的所有双生子中，纳入≥30岁且有完整登记信息的18 855对双生子作为研究对象。采用随机效应模型描述2型糖尿病的人群、地区分布特征以及对内一致性的分布。 结果： 研究对象年龄（42.8±10.2）岁，同卵双生子（MZ）10 339对，异卵双生子（DZ）8 516对。全人群中2型糖尿病报告患病率为2.2%，MZ和DZ报告患病率差异无统计学意义。双生子对内分析发现2型糖尿病MZ同病率为38.2%，DZ为16.0%，差异有统计学意义（P<0.001），在不同性别、年龄和地区中MZ同病率均大于DZ（P<0.05）。进一步分层分析，在北方，仅在<60岁人群中发现MZ同病率大于DZ（P<0.05）；而南方，≥60岁男性MZ同病率也大于DZ（P<0.05）。 结论： 本研究的双生子人群2型糖尿病报告患病率低于一般人群，在不同性别、年龄和地区中均提示遗传因素在2型糖尿病中起作用，但其作用大小可能不尽相同。.
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