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韩国女性中UCP2和UCP3基因多态性与血清高密度脂蛋白胆固醇的关联

Association of UCP2 and UCP3 gene polymorphisms with serum high-density lipoprotein cholesterol among Korean women.

作者信息

Cha Min Ho, Kim Il Chul, Kim Kil Soo, Kang Byoung Kab, Choi Sun Mi, Yoon Yoosik

机构信息

Department of Medical Research, Korea Institute of Oriental Medicine, Daejon 305-811, Korea.

出版信息

Metabolism. 2007 Jun;56(6):806-13. doi: 10.1016/j.metabol.2007.01.023.

DOI:10.1016/j.metabol.2007.01.023
PMID:17512314
Abstract

Decreased serum high-density lipoprotein (HDL-C) cholesterol is a major risk factor for atherosclerosis and vascular disease. In this study, we assessed the association of 10 uncoupling protein (UCP) 2 and UCP3 polymorphisms with serum HDL cholesterol levels and atherogenic indexes among 658 Korean women. Among the 10 single nucleotide polymorphisms (SNPs) in the UCP2 and UCP3 genes, 2 SNPs in UCP2, -866G>A and +4787C>T (A55V) that were tightly linked (r(2) = 0.97), were significantly associated with decreased HDL cholesterol levels after Bonferroni correction (P = .003 in the recessive model). +4589C>T (Y210Y) in UCP3, a silent variation of Tyr210Tyr in exon 5, was also significantly associated with HDL cholesterol after multiple comparison correction. These 3 SNPs also exhibited some association with increases in the atherogenic index. Source-of-variation analysis revealed that -866G>A SNP accounted for 8.09% of the variation in serum HDL cholesterol levels independent of body mass index. We believe that our results may provide clues to the association of UCP genes with the risk of atherosclerosis through their effects on HDL cholesterol.

摘要

血清高密度脂蛋白(HDL-C)胆固醇水平降低是动脉粥样硬化和血管疾病的主要危险因素。在本研究中,我们评估了658名韩国女性中10种解偶联蛋白(UCP)2和UCP3基因多态性与血清HDL胆固醇水平及动脉粥样硬化指数之间的关联。在UCP2和UCP3基因的10个单核苷酸多态性(SNP)中,UCP2基因的2个SNP,即-866G>A和+4787C>T(A55V)紧密连锁(r(2)=0.97),经Bonferroni校正后与HDL胆固醇水平降低显著相关(隐性模型中P=0.003)。UCP3基因中的+4589C>T(Y210Y),是外显子5中Tyr210Tyr的沉默变异,经多重比较校正后也与HDL胆固醇显著相关。这3个SNP还与动脉粥样硬化指数升高存在一定关联。变异来源分析显示,-866G>A SNP独立于体重指数,占血清HDL胆固醇水平变异的8.09%。我们认为,我们的结果可能为UCP基因通过对HDL胆固醇的影响与动脉粥样硬化风险之间的关联提供线索。

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