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Replication of Interactions between Genome-Wide Genetic Variants and Body Mass Index in Fasting Glucose and Insulin Levels

  • Hong, Kyung-Won (Division of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC) ;
  • Chung, Myungguen (Division of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC) ;
  • Cho, Seong Beom (Division of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC)
  • Received : 2014.11.01
  • Accepted : 2014.11.24
  • Published : 2014.12.31

Abstract

The genetic regulation of glucose and insulin levels might be modified by adiposity. With regard to the genetic factors that are altered by adiposity, a large meta-analysis on the interactions between genetic variants and body mass index with regard to fasting glucose and insulin levels was reported by the Meta-Analyses of Glucose- and Insulin-related trait Consortium (MAGIC), based on European ancestry. Because no replication study has been performed in other ethnic groups, we first examined the link between reported single-nucleotide polymorphisms (SNPs) and fasting glucose and insulin levels in a large Korean cohort (Korean Genome and Epidemiology Study cohort [KoGES], n = 5,814). The MAGIC study reported 7 novel SNPs for fasting glucose levels and 6 novel SNPs for fasting insulin levels. In this study, we attempted to replicate the association of 5 SNPs with fasting glucose levels and 5 SNPs with fasting insulin levels. One SNP (rs2293941) in PDX1 was identified as a significant obesity-modifiable factor in Koreans. Our results indicate that the novel loci that were identified by MAGIC are poorly replicated in other ethnic groups, although we do not know why.

Keywords

References

  1. den Boer AT, Herraets IJ, Stegen J, Roumen C, Corpeleijn E, Schaper NC, et al. Prevention of the metabolic syndrome in IGT subjects in a lifestyle intervention: results from the SLIM study. Nutr Metab Cardiovasc Dis 2013;23:1147-1153. https://doi.org/10.1016/j.numecd.2012.12.005
  2. Katzmarzyk PT. Physical activity, sedentary behavior, and health: paradigm paralysis or paradigm shift? Diabetes 2010;59:2717-2725. https://doi.org/10.2337/db10-0822
  3. Chan JC, Malik V, Jia W, Kadowaki T, Yajnik CS, Yoon KH, et al. Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA 2009;301:2129-2140. https://doi.org/10.1001/jama.2009.726
  4. Sims EA, Danforth E Jr. Expenditure and storage of energy in man. J Clin Invest 1987;79:1019-1025. https://doi.org/10.1172/JCI112913
  5. Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature 2006;444:840-846. https://doi.org/10.1038/nature05482
  6. Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, et al. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nat Genet 2012;44:659-669. https://doi.org/10.1038/ng.2274
  7. Cho YS, Go MJ, Kim YJ, Heo JY, Oh JH, Ban HJ, et al. A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nat Genet 2009;41:527-534. https://doi.org/10.1038/ng.357
  8. Rabbee N, Speed TP. A genotype calling algorithm for affymetrix SNP arrays. Bioinformatics 2006;22:7-12. https://doi.org/10.1093/bioinformatics/bti741
  9. Hong KW, Lim JE, Kim YJ, Cho NH, Shin C, Oh B. KARE genomewide association study of blood pressure using imputed SNPs. Genomics Inform 2010;8:103-107. https://doi.org/10.5808/GI.2010.8.3.103
  10. Howie BN, Donnelly P, Marchini J. A flexible and accurate genotype imputation method for the next generation of genome- wide association studies. PLoS Genet 2009;5:e1000529. https://doi.org/10.1371/journal.pgen.1000529
  11. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007;81:559-575. https://doi.org/10.1086/519795
  12. Yoon KH, Lee JH, Kim JW, Cho JH, Choi YH, Ko SH, et al. Epidemic obesity and type 2 diabetes in Asia. Lancet 2006;368:1681-1688. https://doi.org/10.1016/S0140-6736(06)69703-1
  13. Macfarlane WM, Frayling TM, Ellard S, Evans JC, Allen LI, Bulman MP, et al. Missense mutations in the insulin promoter factor-1 gene predispose to type 2 diabetes. J Clin Invest 1999;104:R33-R39. https://doi.org/10.1172/JCI7449