DNA methylation variants at HIF3A locus, B-vitamin intake, and long-term weight change: Gene-diet interactions in two U.S. Cohorts

Diabetes

Volumn 64, Issue 9, 2015, Pages 3146-3154

  Huang, Tao ^a   Zheng, Yan ^a   Qi, Qibin ^b   Xu, Min ^c   Ley, Sylvia H ^a   Li, Yanping ^a   Kang, Jae H ^d   Wiggs, Janey ^e   Pasquale, Louis R ^d,e   Chan, Andrew T ^f   Rimm, Eric B ^a,d   Hunter, David J ^a   Manson, Joann E ^a,d,g   Willett, Walter C ^a,d   Hu, Frank B ^a,d   Qi, Lu ^a,d  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^c SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^d HARVARD MEDICAL SCHOOL   (United States)

^e MASSACHUSETTS EYE AND EAR INFIRMARY   (United States)

^f MASSACHUSETTS GENERAL HOSPITAL   (United States)

^g BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CYANOCOBALAMIN; HYPOXIA INDUCIBLE FACTOR 3ALPHA; RIBOFLAVIN; VITAMIN B GROUP; BASIC HELIX LOOP HELIX TRANSCRIPTION FACTOR; FOLIC ACID; HIF3A PROTEIN, HUMAN; PYRIDOXINE; VITAMIN B COMPLEX;

ADULT; AGED; ARTICLE; BODY HEIGHT; BODY MASS; BODY WEIGHT; COHORT ANALYSIS; DISEASE ASSOCIATION; DNA METHYLATION; FEMALE; GENE INTERACTION; GENETIC ASSOCIATION; GENETIC VARIABILITY; HUMAN; LIFESTYLE; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; MIDDLE AGED; OBESITY; PRIORITY JOURNAL; PROSPECTIVE STUDY; SINGLE NUCLEOTIDE POLYMORPHISM; VITAMIN INTAKE; WEIGHT CHANGE; DIET; GENETICS; GENOTYPE ENVIRONMENT INTERACTION; LONGITUDINAL STUDY; OVERWEIGHT; STATISTICS AND NUMERICAL DATA; UNITED KINGDOM; UNITED STATES; WEIGHT GAIN;

ADULT; AGED; BASIC HELIX-LOOP-HELIX TRANSCRIPTION FACTORS; BODY MASS INDEX; COHORT STUDIES; DIET; DNA METHYLATION; FEMALE; FOLIC ACID; GENE-ENVIRONMENT INTERACTION; GREAT BRITAIN; HUMANS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; OBESITY; OVERWEIGHT; POLYMORPHISM, SINGLE NUCLEOTIDE; PROSPECTIVE STUDIES; RIBOFLAVIN; UNITED STATES; VITAMIN B 12; VITAMIN B 6; VITAMIN B COMPLEX; WEIGHT GAIN;

EID: 84956909590     PISSN: 00121797     EISSN: 1939327X     Source Type: Journal    
DOI: 10.2337/db15-0264     Document Type: Article

References (54)

1. Bird A. Perceptions of epigenetics. Nature 2007;447:396-398
2. Gluckman PD, Hanson M.A. Developmental and epigenetic pathways to obesity: an evolutionary-developmental perspective. Int J Obes (Lond) 2008; 32(Suppl. 7):S62-S71
3. Jones PA, Takai D. The role of DNA methylation in mammalian epigenetics. Science 2001;293:1068-1070
4. Dick KJ, Nelson CP, Tsaprouni L, et al. DNA methylation and body-mass index: a genome-wide analysis. Lancet 2014;383:1990-1998
5. Martínez JA, Milagro FI, Claycombe KJ, Schalinske KL. Epigenetics in adipose tissue, obesity, weight loss, and diabetes. Adv Nutr 2014;5:71-81
6. Qi Q, Chu AY, Kang JH, et al. Sugar-sweetened beverages and genetic risk of obesity. N Engl J Med 2012;367:1387-1396
7. Qi Q, Li Y, Chomistek AK, et al. Television watching, leisure time physical activity, and the genetic predisposition in relation to body mass index in women and men. Circulation 2012;126:1821-1827
8. Qi Q, Chu AY, Kang JH, et al. Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies. BMJ 2014; 348:g1610
9. Qi L, Cho YA. Gene-environment interaction and obesity. Nutr Rev 2008;66: 684-694
10. Qi L. Gene-diet interaction and weight loss. Curr Opin Lipidol 2014;25: 27-34
11. Dominguez-Salas P, Cox SE, Prentice AM, Hennig BJ, Moore SE. Maternal nutritional status, C(1) metabolism and offspring DNA methylation: a review of current evidence in human subjects. Proc Nutr Soc 2012;71:154-165
12. Brosnan JT, Brosnan ME. The sulfur-containing amino acids: an overview. J Nutr 2006;136(Suppl.):1636S-1640S
13. Mahabir S, Ettinger S, Johnson L, et al. Measures of adiposity and body fat distribution in relation to serum folate levels in postmenopausal women in a feeding study. Eur J Clin Nutr 2008;62:644-650
14. Krishnaveni GV, Hill JC, Veena SR, et al. Low plasma vitamin B12 in pregnancy is associated with gestational 'diabesity' and later diabetes. Dia-betologia 2009;52:2350-2358
15. Colditz GA, Manson JE, Hankinson SE. The Nurses' Health Study: 20-year contribution to the understanding of health among women. J Womens Health 1997;6:49-62
16. Rimm EB, Giovannucci EL, Willett WC, et al. Prospective study of alcohol consumption and risk of coronary disease in men. Lancet 1991;338:464-468
17. Cornelis MC, Monda KL, Yu K, et al. Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption. PLoS Genet 2011;7:e1002033
18. Jensen MK, Pers TH, Dworzynski P, Girman CJ, Brunak S, Rimm EB. Protein interaction-based genome-wide analysis of incident coronary heart disease. Circ Cardiovasc Genet 2011;4:549-556
19. Wiggs JL, Kang JH, Yaspan BL, et al.; GENEVA Consortium. Common variants near CAV1 and CAV2 are associated with primary open-angle glaucoma in Caucasians from the USA. Hum Mol Genet 2011;20:4707-4713
20. Hunter DJ, Kraft P, Jacobs KB, et al. A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer. Nat Genet 2007;39:870-874
21. Qi L, Cornelis MC, Kraft P, et al.; Meta-Analysis of Glucose and Insulin-related traits Consortium (MAGIC); Diabetes Genetics Replication and Metaanalysis (DIAGRAM) Consortium. Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes. Hum Mol Genet 2010;19:2706-2715
22. Köttgen A, Albrecht E, Teumer A, et al.; LifeLines Cohort Study; CARDIoGRAM Consortium; DIAGRAM Consortium; ICBP Consortium; MAGIC Consortium. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet 2013;45:145-154
23. Willett WC, Sampson L, Stampfer MJ, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol 1985;122: 51-65
24. Rimm EB, Giovannucci EL, Stampfer MJ, Colditz GA, Litin LB, Willett WC. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am J Epidemiol 1992;135:1114-1126; discussion 1127-1136
25. Wolf AM, Hunter DJ, Colditz GA, et al. Reproducibility and validity of a self-administered physical activity questionnaire. Int J Epidemiol 1994;23: 991-999
26. Chiuve SE, Fung TT, Rimm EB, et al. Alternative dietary indices both strongly predict risk of chronic disease. J Nutr 2012;142:1009-1018
27. Rimm EB, Stampfer MJ, Colditz GA, Chute CG, Litin LB, Willett WC. Validity of self-reported waist and hip circumferences in men and women. Epidemiology 1990;1:466-473
28. Flegal KM, Carroll MD, Ogden CL, Johnson CL. Prevalence and trends in obesity among US adults, 1999-2000. JAMA 2002;288:1723-1727
29. Ogden CL, Flegal KM, Carroll MD, Johnson CL. Prevalence and trends in overweight among US children and adolescents, 1999-2000. JAMA 2002;288: 1728-1732
30. Winkleby MA, Cubbin C. Changing patterns in health behaviors and risk factors related to chronic diseases, 1990-2000. Am J Health Promot 2004;19: 19-27
31. Peters U, Jiao S, Schumacher FR, et al. Identification of genetic susceptibility loci for colorectal tumors in a genome-wide meta-analysis. Gastroenterol-ogy 2013;144:799-807
32. Qi Q, Forman JP, Jensen MK, et al. Genetic predisposition to high blood pressure associates with cardiovascular complications among patients with type 2 diabetes: two independent studies. Diabetes 2012;61: 3026-3032
33. Relton CL, Groom A, St Pourcain B, et al. DNA methylation patterns in cord blood DNA and body size in childhood. PLoS One 2012;7:e31821
34. Wang X, Zhu H, Snieder H, et al. Obesity related methylation changes in DNA of peripheral blood leukocytes. BMC Med 2010;8:87
35. Almén MS, Jacobsson JA, Moschonis G, et al. Genome wide analysis reveals association of a FTO gene variant with epigenetic changes. Genomics 2012; 99:132-137
36. Davey Smith G, Hemani G. Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Hum Mol Genet 2014;23(R1):R89-R98
37. Qi L. Mendelian randomization in nutritional epidemiology. Nutr Rev 2009; 67:439-450
38. Burgess S, Butterworth A, Malarstig A, Thompson SG. Use of Mendelian randomisation to assess potential benefit of clinical intervention. BMJ 2012;345: e7325
39. Belsky J, Pluess M. Beyond diathesis stress: differential susceptibility to environmental influences. Psychol Bull 2009;135:885-908
40. Belsky J, Jonassaint C, Pluess M, Stanton M, Brummett B, Williams R. Vulnerability genes or plasticity genes? Mol Psychiatry 2009;14:746-754
41. Selhub J. Homocysteine metabolism. Annu Rev Nutr 1999;19:217-246
42. Waterland RA, Dolinoy DC, Lin JR, Smith CA, Shi X, Tahiliani KG. Maternal methyl supplements increase offspring DNA methylation at Axin Fused. Genesis 2006;44:401-406
43. Cooney CA, Dave AA, Wolff GL. Maternal methyl supplements in mice affect epigenetic variation and DNA methylation of offspring. J Nutr 2002;132(Suppl.): 2393S-2400S
44. Pufulete M, Al-Ghnaniem R, Khushal A, et al. Effect of folic acid supplementation on genomic DNA methylation in patients with colorectal adenoma. Gut 2005;54:648-653
45. Friso S, Choi SW. Gene-nutrient interactions and DNA methylation. J Nutr 2002;132(Suppl.):2382S-2387S
46. Schadt EE. Molecular networks as sensors and drivers of common human diseases. Nature 2009;461:218-223
47. Relton CL, Davey Smith G. Epigenetic epidemiology of common complex disease: prospects for prediction, prevention, and treatment. PLoS Med 2010;7: e1000356
48. Bailey LB. Folate and vitamin B12 recommended intakes and status in the United States. Nutr Rev 2004;62:S14-S20; discussion S21
49. Sanderson P, McNulty H, Mastroiacovo P, et al.; UK Food Standards Agency. Folate bioavailability: UK Food Standards Agency workshop report. Br J Nutr 2003;90:473-479
50. Stabler SP, Allen RH. Vitamin B12 deficiency as a worldwide problem. Annu Rev Nutr 2004;24:299-326
51. Malinow MR, Duell PB, Hess DL, et al. Reduction of plasma homocyst(e)ine levels by breakfast cereal fortified with folic acid in patients with coronary heart disease. N Engl J Med 1998;338:1009-1015
52. Manco M, Dallapiccola B. Genetics of pediatric obesity. Pediatrics 2012; 130:123-133
53. Zhang X, Qi Q, Zhang C, et al. FTO genotype and 2-year change in body composition and fat distribution in response to weight-loss diets: the POUNDS LOST Trial [published correction appears in Diabetes 2013;62:662]. Diabetes 2012;61:3005-3011
54. Dudbridge F, Fletcher O. Gene-environment dependence creates spurious gene-environment interaction. Am J Hum Genet 2014;95:301-307