Interactions between genetic factors that predict diabetes and dietary factors that ultimately impact on risk of diabetes

Current Opinion in Lipidology

Volumn 21, Issue 1, 2010, Pages 31-37

  Qi, Lu ^a,b   Liang, Jun ^c  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c XUZHOU CENTRAL HOSPITAL   (China)

Author keywords

Diabetes; Diet; Gene; Interaction

Indexed keywords

CYCLIN DEPENDENT KINASE INHIBITOR 2A; CYCLIN DEPENDENT KINASE INHIBITOR 2B; SOMATOMEDIN BINDING PROTEIN 2; TRANSCRIPTION FACTOR 7 LIKE 2;

DIET; DIETARY INTAKE; GENETIC PREDISPOSITION; GENETIC RISK; GLYCEMIC LOAD; HEREDITY; HUMAN; MATERNAL NUTRITION; NON INSULIN DEPENDENT DIABETES MELLITUS; PRIORITY JOURNAL; REVIEW;

DIABETES MELLITUS; DIET; FEMALE; GENETIC PREDISPOSITION TO DISEASE; HUMANS; PREGNANCY; PRENATAL NUTRITIONAL PHYSIOLOGICAL PHENOMENA; RISK; TCF TRANSCRIPTION FACTORS;

EID: 77649167599     PISSN: 09579672     EISSN: None     Source Type: Journal    
DOI: 10.1097/MOL.0b013e3283346cb6     Document Type: Review

References (61)

1. Wild S, Roglic G, Green A, et al. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004; 27:1047-1053.
2. Newman B, Selby JV, King MC, et al. Concordance for type 2 (noninsulin-dependent) diabetes mellitus in male twins. Diabetologia 1987; 30:763-768.
3. Groop L, Forsblom C, Lehtovirta M, et al. Metabolic consequences of a family history of NIDDM (the Botnia study): evidence for sex-specific parental effects. Diabetes 1996; 45:1585-1593.
4. Sladek R, Rocheleau G, Rung J, et al. A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 2007; 445:881-885.
5. Scott LJ, Mohlke KL, Bonnycastle LL, et al. A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 2007; 316:1341-1345.
6. Salonen JT, Uimari P, Aalto JM, et al. Type 2 diabetes whole-genome association study in four populations: the DiaGen consortium. Am J Hum Genet 2007; 81:338-345.
7. Zeggini E, Weedon MN, Lindgren CM, et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 2007; 316:1336-1341.
8. Saxena R, Voight BF, Lyssenko V, et al. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 2007; 316:1331-1336.
9. Qi L, Hu FB, Hu G. Genes, environment, and interactions in prevention of type 2 diabetes: a focus on physical activity and lifestyle changes. Curr Mol Med 2008; 8:519-532.
10. MisraA,Ganda OP. Migration and its impact onadiposity and type 2diabetes. Nutrition 2007; 23:696-708.
11. Zimmet P, Taft P, Guinea A, et al. The high prevalence of diabetes mellitus on a Central Pacific Island. Diabetologia 1977; 13:111-115.
12. McKeigue PM, Shah B, Marmot MG. Relation of central obesity and insulin resistance with high diabetes prevalence and cardiovascular risk in South Asians. Lancet 1991; 337:382-386.
13. Knowler WC, Barrett-Connor E, Fowler SE, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002; 346:393-403.
14. Pan XR, Li GW, Hu YH, et al. Effects of diet and exercise inpreventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes study. Diabetes Care 1997; 20:537-544.
15. Zimmet P, Alberti KG, Shaw J. Global and societal implications of the diabetes epidemic. Nature 2001; 414:782-787.
16. Babio N, Bullo M, Salas-Salvado J. Mediterranean diet and metabolic syndrome: the evidence. Public Health Nutr 2009; 12:1607-1617.
17. van Dam RM, Rimm EB, Willett WC, et al. Dietary patterns and risk for type 2 diabetes mellitus in U.S. men. Ann Intern Med 2002; 136:201-209.
18. Schulze MB, Hoffmann K, Manson JE, et al. Dietary pattern, inflammation, and incidence of type 2 diabetes in women. Am J Clin Nutr 2005; 82:675-684; quiz 714-1675
19. de MunterJS, Hu FB, Spiegelman D, et al. Whole grain, bran, and germ intake and risk of type 2 diabetes: a prospective cohort study and systematic review. PLoS Med 2007; 4:e261.
20. Crandall JP, Polsky S, Howard AA, et al. Alcohol consumption and diabetes risk in the Diabetes Prevention Program. Am J Clin Nutr 2009; 90:595-601.
21. Koppes LL, Dekker JM, Hendriks HF, et al. Moderate alcohol consumption lowers the risk of type 2 diabetes: a meta-analysis of prospective observational studies. Diabetes Care 2005; 28:719-725.
22. Parillo M, Riccardi G. Diet composition and the risk of type 2 diabetes: epidemiological and clinical evidence. Br J Nutr 2004; 92:7-19.
23. Schulze MB, Hu FB. Primary prevention of diabetes: what can be done and how much can be prevented? Annu Rev Public Health 2005; 26:445-467.
24. Vaag A, Poulsen P. Twins in metabolic and diabetes research: what do they tell us? Curr Opin Clin Nutr Metab Care 2007; 10:591-596.
25. Thomas F, Balkau B, Vauzelle-Kervroedan F, Papoz L. Maternal effect and familial aggregation in NIDDM. The CODIAB study. CODIAB-INSERM-ZE-NECA Study Group. Diabetes 1994; 43:63-67.
26. Altshuler D, Hirschhorn JN, Klannemark M, et al. The common PPARgamma Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes. Nat Genet 2000; 26:76-80.
27. van Dam RM, Hoebee B, Seidell JC, et al. Common variants in the ATP-sensitive K+ channel genes KCNJ11 (Kir6.2) and ABCC8 (SUR1) in relation to glucose intolerance: population-based studies and meta-analyses. Diabet Med 2005; 22:590-598.
28. Grant SF, Thorleifsson G, Reynisdottir I, et al. Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes. Nat Genet 2006; 38:320-323.
29. Tong Y, Lin Y, Zhang Y, et al. Association between TCF7L2 gene polymorphisms and susceptibility to type 2 diabetes mellitus: a large Human Genome Epidemiology (HuGE) review and meta-analysis. BMC Med Genet 2009; 10:15.
30. McCarthy MI, Zeggini E. Genome-wide association studies in type 2 diabetes. Curr Diab Rep 2009; 9:164-171.
31. Cornelis MC, Qi L, Zhang C, et al. Joint effects of common genetic variants on the risk for type 2 diabetes in U.S. men and women of European ancestry. Ann Intern Med 2009; 150:541-550.
32. Meigs JB, Shrader P, Sullivan LM, et al. Genotype score in addition to common risk factors for prediction of type 2 diabetes. N Engl J Med 2008; 359:2208-2219.
33. Unoki H, Takahashi A, Kawaguchi T, et al. SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in east Asian and European populations. Nat Genet 2008; 40:1098-1102.
34. YasudaK, MiyakeK, HorikawaY, et al. Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus. Nat Genet 2008; 40:1092-1097.
35. Florez JC, Jablonski KA, Bayley N, et al. TCF7L2 polymorphisms and progression to diabetes in the Diabetes Prevention Program. N Engl J Med 2006; 355:241-250.
36. Lyssenko V, Lupi R, Marchetti P, et al. Mechanisms by which common variants in the TCF7L2 gene increase risk of type 2 diabetes. J Clin Invest 2007; 117:2155-2163.
37. SchaferSA, TschritterO, Machicao F, et al. Impaired glucagon-like peptide-1-induced insulin secretion in carriers of transcription factor 7-like 2 (TCF7L2) gene polymorphisms. Diabetologia 2007; 50:2443-2450.
38. Fisher E, Boeing H, Fritsche A, et al. Whole-grain consumption and transcription factor-7-like 2 (TCF7L2) rs7903146: gene-diet interaction in modulating type 2 diabetes risk. Br J Nutr 2009; 101:478-481.
39. Cornelis MC, Qi L, Kraft P, Hu FB. TCF7L2, dietary carbohydrate, and risk of type 2 diabetes in US women. Am J Clin Nutr 2009; 89:1256-1262.
40. Warodomwichit D, Arnett DK, Kabagambe EK, et al. Polyunsaturated fatty acids modulate the effect of TCF7L2 gene variants on postprandial lipemia. J Nutr 2009; 139:439-446.
41. Qi L, Cornelis MC, Zhang C, et al. Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men. Am J Clin Nutr 2009;89:1453-1458.
42. Florez JC, Jablonski KA, McAteer J, et al. Testing of diabetes-associated WFS1 polymorphisms in the Diabetes Prevention Program. Diabetologia 2008; 51:451-457.
43. Sandhu MS, Weedon MN, Fawcett KA, et al. Common variants in WFS1 confer risk of type 2 diabetes. Nat Genet 2007; 39:951-953.
44. Chambers JC, Elliott P, Zabaneh D, et al. Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nat Genet 2008; 40:716-718.
45. Loos RJ, Lindgren CM, Li S, et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 2008; 40:768-775.
46. Tao YX. Molecular mechanisms of the neural melanocortin receptor dysfunction in severe early onset obesity. Mol Cell Endocrinol 2005; 239:1-14.
47. Qi L, Kraft P, Hunter DJ, Hu FB. The common obesity variant near MC4R gene is associated with higher intakes of total energy and dietary fat, weight change and diabetes risk in women. Hum Mol Genet 2008; 17:3502-3508.
48. Hales CN, Barker DJ. The thrifty phenotype hypothesis. Br Med Bull 2001; 60:5-20.
49. Barker DJ, Hales CN, Fall CH, et al. Type 2 (noninsulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced fetal growth. Diabetologia 1993; 36:62-67.
50. Whincup PH, Kaye SJ, Owen CG, et al. Birth weight and risk of type 2 diabetes: a systematic review. JAMA 2008; 300:2886-2897.
51. Grarup N, Rose CS, Andersson EA, et al. Studies of association of variants near the HHEX, CDKN2A/B, and IGF2BP2 genes with type 2 diabetes and impaired insulin release in 10,705 Danish subjects: validation and extension of genome-wide association studies. Diabetes 2007; 56:3105-3111.
52. de Rooij SR, Painter RC, Phillips DI, et al. The effects of the Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-gamma2 gene on glucose/insulin metabolism interact with prenatal exposure to famine. Diabetes Care 2006; 29:1052-1057.
53. Pulizzi N, Lyssenko V, Jonsson A, et al. Interaction between prenatal growth and high-risk genotypes in the development of type 2 diabetes. Diabetologia 2009; 52:825-829.
54. van Hoek M, Langendonk JG, de Rooij SR, et al. Genetic variant in the IGF2BP2 gene may interact with fetal malnutrition to affect glucose metabolism. Diabetes 2009; 58:1440-1444.
55. Manolio TA, Bailey-Wilson JE, Collins FS. Genes, environment and the value of prospective cohort studies. Nat Rev Genet 2006; 7:812-820.
56. Tucker KL. Assessment of usual dietary intake in population studies of gene-diet interaction. Nutr Metab Cardiovasc Dis 2007; 17:74-81.
57. Newton-Cheh C, Johnson T, Gateva V, et al. Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet 2009 [Epub ahead of print].
58. Lyssenko V, Nagorny CL, Erdos MR, et al. Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion. Nat Genet 2009; 41:82-88.
59. Vitart V, Rudan I, Hayward C, et al. SLC2A9 is a newly identified urate transporter influencing serum urate concentration, urate excretion and gout. Nat Genet 2008; 40:437-442.
60. Kaprio J, Tuomilehto J, Koskenvuo M, et al. Concordance for type 1 (insulin-dependent) and type 2 (noninsulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland. Diabetologia 1992; 35:1060-1067.
61. Goldstein DB. Common genetic variation and human traits. N Engl J Med 2009; 360:1696-1698.