Gene-environment interactions and susceptibility to metabolic syndrome and other chronic diseases

Journal of Periodontology

Volumn 79, Issue 8 SUPPL., 2008, Pages 1508-1513

  Ordovas, Jose M ^a,b   Shen, Jian ^a  

^a TUFTS UNIVERSITY   (United States)

^b NONE   (United States)

Author keywords

Diet; Disease susceptibility; Gene environment interactions; Genetics; Inflammation; Metabolic syndrome

Indexed keywords

CHRONIC DISEASE; CONFERENCE PAPER; DIET; ENVIRONMENT; GENE; GENETIC POLYMORPHISM; GENETIC PREDISPOSITION; GENETICS; HUMAN; METABOLIC SYNDROME X; PHENOTYPE; RISK FACTOR;

CHRONIC DISEASE; DIET; ENVIRONMENT; GENES; GENETIC PREDISPOSITION TO DISEASE; HUMANS; METABOLIC SYNDROME X; PHENOTYPE; POLYMORPHISM, GENETIC; RISK FACTORS;

EID: 49449117191     PISSN: 00223492     EISSN: None     Source Type: Journal    
DOI: 10.1902/jop.2008.080232     Document Type: Conference Paper

References (35)

1. Ordovas JM, Corella D. Nutritional genomics. Annu Rev Genomics Hum Genet 2004;5:71-118.
2. Corella D, Ordovas JM. Integration of environment and disease into 'omics' analysis. Curr Opin Mol Ther 2005;7:569-576.
3. Schaefer EJ, Lichtenstein AH, Lamon-Fava S, et al. Body weight and low-density lipoprotein cholesterol changes after consumption of a low-fat ad libitum diet. JAMA 1995;274:1450-1455.
4. Schaefer EJ, Lichtenstein AH, Lamon-Fava S, et al. Efficacy of a National Cholesterol Education Program Step 2 diet in normolipidemic and hypercholesterolemic middle-aged and elderly men and women. Arterioscler Thromb Vasc Biol 1995;15:1079-1085.
5. Haffner SM. The metabolic syndrome: Inflammation, diabetes mellitus, and cardiovascular disease. Am J Cardiol 2006;97(2A):3A-11A.
6. Libby P, Ridker PM, Maseri A. Inflammation and atherosclerosis. Circulation 2002;105:1135-1143.
7. Swift M. Diabetes-predisposing genes. Lancet 1973;2:497.
8. Rotwein P, Chyn R, Chirgwin J, Cordell B, Goodman HM, Permut MA. Polymorphism in the 5′-flanking region of the human insulin gene and its possible relation to type 2 diabetes. Science 1981;213:1117-1120.
9. Deeb SS, Fajas L, Nemoto M, et al. A Pro12Ala substitution in PPARgamma2 associated with decreased receptor activity, lower body mass index and improved insulin sensitivity. Nat Genet 1998;20:284-287.
10. Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 2007;447:661-678.
11. 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.
12. 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.
13. 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.
14. Steinthorsdottir V, Thorleifsson G, Reynisdottir I, et al. A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. Nat Genet 2007;39:770-775.
15. 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.
16. Zeggini E. A new era for type 2 diabetes genetics. Diabet Med 2007;24:1181-1186.
17. Trichopoulou A, Yiannakouris N, Bamia C, Benetou V, Trichopoulos D, Ordovas JM. Genetic predisposition, non-genetic risk factors and coronary infarct. Arch Intern Med 2008;168:891-896.
18. Hanefeld M, Fischer S, Julius U, et al. Risk factors for myocardial infarction and death in newly detected NIDDM: the Diabetes Intervention Study, 11-year follow-up. Diabetologia 1996;39:1577-1583.
19. Ordovas J. Diet/genetic interactions and their effects on inflammatory markers. Nutr Rev 2007;65:S203-S207.
20. Shen J, Arnett DK, Parnell LD, et al. Association of common C-reactive protein (CRP) gene polymorphisms with baseline plasma CRP levels and fenofibrate response: The GOLDN Study. Diabetes Care 2008;31:910-915.
21. Shen J, Arnett DK, Parnell LD, et al. The effect of IL6-174C/G polymorphism on postprandial triglycerides metabolism in the GOLDN study. J Lipid Res 2008;49:1839-1845.
22. GOLDN. Genetics Of Lipid Lowering Drugs and Diet Network. Available at: http://www.biostat.wustl.edu/goldn/. Accessed March 12, 2008.
23. Shen J, Arnett DK, Peacock JM, et al. Interleukin 1beta genetic polymorphisms interact with polyunsaturated fatty acids to modulate risk of the metabolic syndrome. J Nutr 2007;137:1846-1851.
24. Nicklin MJ, Weith A, Duff GW. A physical map of the region encompassing the human interleukin-1 alpha, interleukin-1 beta, and interleukin-1 receptor antagonist genes. Genomics 1994;19:382-384.
25. Simopoulos AP. Omega-3 fatty acids in inflammation and autoimmune diseases. J Am Coll Nutr 2002;21:495-505.
26. Yin WH, Jen HL, Chen JW, Lin SJ, Young MS. Differential effects of peroxisome proliferator-activated receptor ligands and sulfonylurea plus statin treatment on plasma concentrations of adipokines in type 2 diabetes with dyslipidemia. Diabetes Metab 2006;32:229-235.
27. Barter PJ, Rye KA. Is there a role for fibrates in the management of dyslipidemia in the metabolic syndrome? Arterioscler Thromb Vasc Biol 2008;28:39-46.
28. Brisson D, Ledoux K, Bosse Y, et al. Effect of apolipoprotein E, peroxisome proliferator-activated receptor alpha and lipoprotein lipase gene mutations on the ability of fenofibrate to improve lipid profiles and reach clinical guideline targets among hypertriglyceridemic patients. Pharmacogenetics 2002;12:313-320.
29. Verma S, Szmitko PE, Ridker PM. C-reactive protein comes of age. Nat Clin Pract Cardiovasc Med. 2005;2:29-36.
30. Qi L, Shen H, Larson I, et al. Gender-specific association of a perilipin gene haplotype with obesity risk in a white population. Obes Res 2004;12:1758-1765.
31. Perez-Martinez P, Yiannakouris N, Lopez-Miranda J, et al. Postprandial triacylglycerol metabolism is modified by the presence of genetic variation at the perilipin (PLIN) locus in 2 white populations. Am J Clin Nutr 2008;87:744-752.
32. Corella D, Qi L, Tai ES, et al. Perilipin gene variation determines higher susceptibility to insulin resistance in Asian women when consuming a high-saturated fat, low-carbohydrate diet. Diabetes Care 2006;29:1313-1319.
33. Jang Y, Kim OY, Lee JH, et al. Genetic variation at the perilipin locus is associated with changes in serum free fatty acids and abdominal fat following mild weight loss. Int J Obes (Lond) 2006;30:1601-1608.
34. DeBusk RM, Fogarty CP, Ordovas JM, Kornman KS. Nutritional genomics in practice: Where do we begin? J Am Diet Assoc 2005;105:589-598.
35. Kaput J, Ordovas JM, Ferguson L, et al. The case for strategic international alliances to harness nutritional genomics for public and personal health. Br J Nutr 2005;94:623-632.