LPIN1 基因变异与中国人群 2 型糖尿病相关。
Genetic variants of LPIN1 indicate an association with Type 2 diabetes mellitus in a Chinese population.
机构信息
Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
出版信息
Diabet Med. 2013 Jan;30(1):118-22. doi: 10.1111/j.1464-5491.2012.03758.x.
AIMS
Metabolic disorders are independent risk factors for the development of Type 2 diabetes. The aim of the study is to test the association of LPIN1 variants with Type 2 diabetes and clinical characteristics in large samples of the Chinese population.
METHODS
In the first stage, 15 single nucleotide polymorphisms within the LPIN1 region were selected and genotyped in 3700 Chinese Han participants. In the second stage, the single nucleotide polymorphisms showing significant association or trends towards association were genotyped in an additional 3122 samples for replication. Meta-analyses and genotype-phenotype association studies were performed after combining the data from the two stages.
RESULTS
In the first stage, we detected that rs16857876 was significantly associated with Type 2 diabetes with an odds ratio of 0.806 (95% CI 0.677-0.958, P = 0.015), while rs11695610 showed a trend with Type 2 diabetes (odds ratio 0.846, 95% CI 0.709-1.009, P = 0.062). In the second stage, a similar effect of rs11695610 on Type 2 diabetes was observed (odds ratio 0.849, 95% CI 0.700-1.030, P = 0.096). The meta-analyses combining the information from the two stages showed a significant effect of rs11695610 on Type 2 diabetes with an odds ratio of 0.847 (95% CI 0.744-0.965, P = 0.012). Finally, the phenotype-genotype association analyses showed that rs11695610 was associated with 2-h plasma glucose (P = 0.040) and triglyceride levels (P = 0.034).
CONCLUSIONS
Our data implied that common single nucleotide polymorphisms within the LPIN1 region were associated with Type 2 diabetes and metabolic traits in the Chinese population.
目的
代谢紊乱是 2 型糖尿病发生的独立危险因素。本研究旨在检验 LPIN1 变异与中国人群大型样本中 2 型糖尿病及临床特征的相关性。
方法
在第一阶段，对 3700 名汉族参与者 LPIN1 区域内的 15 个单核苷酸多态性进行了选择和基因分型。在第二阶段，对与 2 型糖尿病呈显著关联或具有关联趋势的单核苷酸多态性在另外 3122 个样本中进行了基因分型，以进行复制。在合并两个阶段的数据后，进行了荟萃分析和基因型-表型关联研究。
结果
在第一阶段，我们发现 rs16857876 与 2 型糖尿病显著相关，比值比为 0.806（95%置信区间 0.677-0.958，P = 0.015），而 rs11695610 与 2 型糖尿病呈趋势相关（比值比 0.846，95%置信区间 0.709-1.009，P = 0.062）。在第二阶段，rs11695610 对 2 型糖尿病的影响也类似（比值比 0.849，95%置信区间 0.700-1.030，P = 0.096）。合并两个阶段信息的荟萃分析显示，rs11695610 对 2 型糖尿病的影响具有统计学意义，比值比为 0.847（95%置信区间 0.744-0.965，P = 0.012）。最后，表型-基因型关联分析显示 rs11695610 与 2 小时血糖（P = 0.040）和甘油三酯水平（P = 0.034）有关。
结论
我们的数据表明 LPIN1 区域内的常见单核苷酸多态性与中国人群的 2 型糖尿病和代谢特征有关。
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