Franks Paul W, Christophi Costas A, Jablonski Kathleen A, Billings Liana K, Delahanty Linda M, Horton Edward S, Knowler William C, Florez Jose C
Department of Clinical Science, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden,
Diabetologia. 2014 Mar;57(3):485-90. doi: 10.1007/s00125-013-3133-4. Epub 2013 Dec 7.
AIMS/HYPOTHESIS: PPARGC1A and PPARGCB encode transcriptional coactivators that regulate numerous metabolic processes. We tested associations and treatment (i.e. metformin or lifestyle modification) interactions with metabolic traits in the Diabetes Prevention Program, a randomised controlled trial in persons at high risk of type 2 diabetes.
We used Tagger software to select 75 PPARGCA1 and 94 PPARGC1B tag single-nucleotide polymorphisms (SNPs) for analysis. These SNPs were tested for associations with relevant cardiometabolic quantitative traits using generalised linear models. Aggregate genetic effects were tested using the sequence kernel association test.
In aggregate, PPARGC1A variation was strongly associated with baseline triacylglycerol concentrations (p = 2.9 × 10(-30)), BMI (p = 2.0 × 10(-5)) and visceral adiposity (p = 1.9 × 10(-4)), as well as with changes in triacylglycerol concentrations (p = 1.7 × 10(-5)) and BMI (p = 9.9 × 10(-5)) from baseline to 1 year. PPARGC1B variation was only associated with baseline subcutaneous adiposity (p = 0.01). In individual SNP analyses, Gly482Ser (rs8192678, PPARGC1A) was associated with accumulation of subcutaneous adiposity and worsening insulin resistance at 1 year (both p < 0.05), while rs2970852 (PPARGC1A) modified the effects of metformin on triacylglycerol levels (p(interaction) = 0.04).
CONCLUSIONS/INTERPRETATION: These findings provide several novel and other confirmatory insights into the role of PPARGC1A variation with respect to diabetes-related metabolic traits.
ClinicalTrials.gov NCT00004992.
目的/假设:PPARGC1A和PPARGCB编码调节多种代谢过程的转录共激活因子。在糖尿病预防计划(一项针对2型糖尿病高危人群的随机对照试验)中,我们测试了与代谢性状的关联以及治疗(即二甲双胍或生活方式改变)的相互作用。
我们使用Tagger软件选择75个PPARGCA1和94个PPARGC1B标签单核苷酸多态性(SNP)进行分析。使用广义线性模型测试这些SNP与相关心脏代谢定量性状的关联。使用序列核关联测试来测试总体遗传效应。
总体而言,PPARGC1A变异与基线三酰甘油浓度(p = 2.9×10^(-30))、体重指数(BMI)(p = 2.0×10^(-5))和内脏脂肪量(p = 1.9×10^(-4))密切相关,也与从基线到1年期间三酰甘油浓度的变化(p = 1.7×10^(-5))和BMI的变化(p = 9.9×10^(-5))相关。PPARGC1B变异仅与基线皮下脂肪量相关(p = 0.01)。在个体SNP分析中,Gly482Ser(rs8192678,PPARGC1A)与1年时皮下脂肪堆积和胰岛素抵抗恶化相关(均p < 0.05),而rs2970852(PPARGC1A)改变了二甲双胍对三酰甘油水平的影响(p(相互作用)= 0.04)。
结论/解读:这些发现为PPARGC1A变异在糖尿病相关代谢性状方面的作用提供了一些新的以及其他确证性的见解。
ClinicalTrials.gov NCT00004992