4.7 Article

Common variation at PPARGC1A/B and change in body composition and metabolic traits following preventive interventions: the Diabetes Prevention Program

期刊

DIABETOLOGIA
卷 57, 期 3, 页码 485-490

出版社

SPRINGER
DOI: 10.1007/s00125-013-3133-4

关键词

Cholesterol; Dyslipidaemia; Gene x environment interaction; Gene x lifestyle interaction; Genetics; Lifestyle intervention; Metformin; Pharmacogenetics; PPARGC1A; PPARGC1B; Randomised controlled trial; Triacylglycerol

资金

  1. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) of the National Institutes of Health
  2. NIDDK
  3. Indian Health Service
  4. Office of Research on Minority Health
  5. National Institute of Child Health and Human Development
  6. National Institute on Aging
  7. Centers for Disease Control and Prevention
  8. Office of Research on Women's Health
  9. American Diabetes Association
  10. Swedish Research Council
  11. Swedish Diabetes Association
  12. Swedish Heart-Lung Foundation
  13. Pahlssons Foundation
  14. Novo Nordisk Foundation
  15. [R01 DK072041]
  16. Novo Nordisk Fonden [NNF13OC0005781] Funding Source: researchfish

向作者/读者索取更多资源

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 x 10(-30)), BMI (p = 2.0 x 10(-5)) and visceral adiposity (p = 1.9 x 10(-4)), as well as with changes in triacylglycerol concentrations (p = 1.7 x 10(-5)) and BMI (p = 9.9 x 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). These findings provide several novel and other confirmatory insights into the role of PPARGC1A variation with respect to diabetes-related metabolic traits. Trial registration ClinicalTrials.gov NCT00004992.

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