Suppr超能文献

[An association study of six-transmembrane protein of prostate 2 gene with metabolic index and tumour necrosis factor in Uygur population].

作者信息

Zu Feiya, Bi Yunwei, Yao Xiaoguang, Wang Hongmei, Zhou Ling, Li Nanfang

机构信息

Hypertension Department of People's Hospital of Xinjiang Uygur Autonomous Region, The Center of Diagnosis, Treatment and Research of Hypertension in Xinjiang,Urumqi 830001, China. Email:

出版信息

Zhonghua Nei Ke Za Zhi. 2014 Feb;53(2):131-4.

Abstract

OBJECTIVE

To explore the relationship between genetic polymorphisms of six-transmembrane protein of prostate 2 (STAMP2) and metabolic index, TNFα in Xinjiang Uygur population.

METHODS

STAMP2 gene functional regions were sequenced in Uygur Xinjiang population diagnosed as metabolic syndrome. Patients were divided into the following three groups by their TNFα concentration: the high level group (TNFα ≥ 7.95 µg/L, n = 313), the moderate level group (TNFα >5.34- < 7.95 µg/L, n = 268) and the low level group ( ≤ 5.34 µg/L, n = 313) . The selected representative variations were genotyped by TaqMan-PCR in 894 Uygur individuals. The association of the genetic variations of STAMP2 gene with metabolic index and TNFα was analyzed.

RESULTS

Three representative variations were genotyped, including rs8122, rs1981529 and rs34741656. The genotype distribution and allele frequencies of rs8122 and rs1981529 were statistically different among the three groups (P < 0.05), while no difference was observed with rs34741656 (P > 0.05). By ANOVA analysis, statistical difference was showed between the rs1981529 polymorphism AA and AG in the concentration of TNFα (P < 0.05) . None of the polymorphisms was significantly associated with TC, HDL-C, LDL-C and TG (P > 0.05).

CONCLUSION

Two STAMP2 gene polymorphisms, rs8122 and rs1981529 are associated with the concentration of TNFα in Xinjiang Uygur population.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验