Literature DB >> 22729909

Mitochondrial DNA polymorphisms are associated with the longevity in the Guangxi Bama population of China.

Xiurong Yang1, Xinping Wang, Huilu Yao, Jixian Deng, Qinyang Jiang, Yafen Guo, Ganqiu Lan, D Joshua Liao, Hesheng Jiang.   

Abstract

Human longevity is an interesting and complicated subject, with many associated variations, geographic and genetic, including some known mitochondrial variations. The population of the Bama County of Guangxi Province of China is well known for its longevity and serves as a good model for studying a potential molecular mechanism. In this study, a full sequence analysis of mitochondrial DNA (mtDNA) has been done in ten Bama centenarians using direct sequencing. Polymorphisms of the displacement loop (D-loop) region of mtDNA and several serum parameters were analyzed for a total of 313 Bama individuals with ages between 10 and 110 years. The results showed that there were seven mitochondrial variations, A73G, A263G, A2076G, A8860G, G11719A, C14766T, and A15326G, and four haplogroups, M(*), F1, D* and D(4) in 10 Bama centenarians. In the D-loop region of mtDNA, the mt146T occurred at a significantly lower frequency in those is the older age group (90-110 years) than in the middle (80-89 years) and in the younger (10-79 years) groups (P < 0.05). The mt146T also had lower systolic blood pressure and serum markers such as total cholesterol, triglyceride and low density lipoprotein than did mt146C in the older age group (P < 0.05). No significant differences were observed between the mt146C and the mt146T individuals in the middle and the younger groups (P > 0.05). The mt5178C/A polymorphisms did not show any significant differences among the three age-groups (P > 0.05), but different nationalities in the Bama County did show a significant difference in the mt5178C/A polymorphisms (P < 0.05). These results suggest that the mt146T/C polymorphisms in Guangxi Bama individuals may partly account for the Bama longevity whereas the mt5178C/A polymorphisms are strongly associated with the nationalities in the Guangxi Bama population.

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Year:  2012        PMID: 22729909     DOI: 10.1007/s11033-012-1784-8

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


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