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Analysis of haplotype and linkage disequilibrium of PPARγgene rs3856806, rs12490265, rs1797912, and rs1175543 in patients with metabolic syndrome in Kazakhs of Xinjiang / 中华内分泌代谢杂志
Chinese Journal of Endocrinology and Metabolism ; (12): 93-97, 2016.
Article in Chinese | WPRIM | ID: wpr-488020
ABSTRACT
Objective To investigate the effect of haplotype and linkage disequilibrium of PPARγgene rs3856806, rs12490265, rs1797912, and rs1175543 in patients with metabolic syndrome ( MS) in Kazakhs of Xinjiang.Methods MALDI-TOF-MS was used to detect PPARγgene rs3856806, rs12490265, rs1797912, and rs1175543 genotypes in 489 subjects ( including 245 MS and 244 controls ) .Results ( 1 ) The frequencies of rs3856806T, rs12490265A, rs1797912C and rs1175543G alleles for MS group in Kazakhs were all significantly lower than those for controls [ rs3856806T allele12.53% vs 17.01%; rs12490265A allele 31.84% vs 38.52%;rs1797912C allele35.31%vs 43.24%;rs1175543G allele40.61%vs 47.54%(all P<0.05)].(2)Significant linkage disequilibrium were observed between PPARγgene rs1797912 and rs1175543, rs12490265, and rs1175543 polymorphisms.(3)AGCC and GAAT were significantly different between MS and control group in Kazakhs(both P<0.05).(4) Carrying rs3856806T, rs12490265A, rs1797912C, rs1175543G was 0.267 times that of carrying rs3856806C, rs12490265G, rs1797912A, rs1175543A.Conclusions The PPARγgene rs3856806, rs12490265, rs1797912 and rs1175543 polymorphisms were associated with metabolic syndrome in Kazakhs.There were very strong linkage disequilibrium between PPARγgene rs1797912 and rs1175543, rs12490265 and rs1175543 polymorphisms, The AGCC haplotype and GAAT haplotype may serve as protective factors of metabolic syndrome.Carrying rs3856806T, rs12490265A, rs1797912C, and rs1175543G may confer lower risk of MS in Kazakhs.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endocrinology and Metabolism Year: 2016 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endocrinology and Metabolism Year: 2016 Type: Article