Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Epidemiology and Population Health

DNA methylation variant, B-vitamins intake and longitudinal change in body mass index

Abstract

Background

Growing evidence has implicated DNA methylation (DNAm) in the regulation of body adiposity; a recent epigenome-wide association study (EWAS) identified a genetic variant determining DNAm at the SREBF1 gene that affected body mass index (BMI).

Objective

In the present study, we tested interactions between DNAm variant rs752579 and methylation metabolism-related B-vitamins (folate, vitamin B2, vitamin B6, and vitamin B12) on longitudinal change in BMI in the Women’s Health Initiative Memory Study (WHIMS).

Design

A total of 5687 white women aged 65–79 from WHIMS with genotyping data on SNP rs752579 were included in the analysis. B-vitamins intakes were estimated by a self-report semi-quantitative food frequency questionnaire. BMI was measured at baseline and 6-year follow-up.

Result

We found significant interactions between the SREBF1 rs752579 genotype and intake of food source B-vitamins on 6-year change in BMI (p interaction <0.01 for all). BMI changes (kg/m2) per DNAm-increasing (C) allele were −0.29, 0.06, and 0.11 within subgroups of increasing tertiles of food source folate intake; and the corresponding BMI changes (kg/m2) were −0.25, −0.01, and 0.15 for vitamin B2 intake; −0.17, −0.16, and 0.21 for vitamin B6 intake; and −0.12, −0.23, and 0.26 for vitamin B12 intake, respectively. Similar gene–diet interaction patterns were observed on the change in body weight.

Conclusions

Our data suggest that habitual intake of food source B-vitamins may modify the effect of DNAm-related variant on long-term adiposity change.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1

Similar content being viewed by others

References

  1. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311:806–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. van Dijk SJ, Molloy PL, Varinli H, Morrison JL, Muhlhausler BS. Epigenetics and human obesity. Int J Obes (Lond). 2015;39:85–97.

    Article  Google Scholar 

  3. Lindgren CM, Heid IM, Randall JC, Lamina C, Steinthorsdottir V, Qi L, et al. Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution. PLoS Genet. 2009;5:e1000508.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Thorleifsson G, Walters GB, Gudbjartsson DF, Steinthorsdottir V, Sulem P, Helgadottir A, et al. Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet. 2009;41:18–24.

    Article  CAS  PubMed  Google Scholar 

  5. 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;17:3502–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU, et al. Association analyses of 249,796 individuals reveal eighteen new loci associated with body mass index. Nat Genet. 2010;42:937–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Qi L, Cho YA. Gene-environment interaction and obesity. Nutr Rev. 2008;66:684–94.

    Article  PubMed  Google Scholar 

  8. Qi Q, Chu AY, Kang JH, Jensen MK, Curhan GC, Pasquale LR, et al. Sugar-sweetened beverages and genetic risk of obesity. N Engl J Med. 2012;367:1387–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Zhang X, Qi Q, Zhang C, Smith SR, Hu FB, Sacks FM, et al. FTO genotype and 2-year change in body composition and fat distribution in response to weight-loss diets: the POUNDS LOST Trial. Diabetes. 2012;61:3005–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Jones PA. The role of DNA methylation in mammalian epigenetics. Science. 2001;293:1068–70.

    Article  CAS  PubMed  Google Scholar 

  11. Dick KJ, Nelson CP, Tsaprouni L, Sandling JK, Aïssi D, Wahl S, et al. DNA methylation and body-mass index: a genome-wide analysis. Lancet. 2014;383:1990–8.

    Article  CAS  PubMed  Google Scholar 

  12. Martínez JA, Milagro FI, Claycombe KJ, Schalinske KL. Epigenetics in adipose tissue, obesity, weight loss, and diabetes 1, 2. Adv Nutr. 2014;5:71–81.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Aronica L, Joan A, Brennan K, Mi J, Gardner C, Haile RW, et al. Systematic review of studies of DNA methylation in the context of a weight loss intervention. Epigenomics. 2017;9:769–87.

    Article  CAS  PubMed  Google Scholar 

  14. Robertson KD. DNA methylation and human disease. Nat Rev Genet. 2005;6:597–10.

    Article  CAS  PubMed  Google Scholar 

  15. Mendelson MM, Marioni RE, Joehanes R, Liu C, Hedman ÅK, Aslibekyan S, et al. Association of body mass index with DNA methylation and gene expression in blood cells and relations to cardiometabolic disease: a Mendelian randomization approach. PLoS Med. 2017;14:1–30.

    Article  Google Scholar 

  16. Ly A, Hoyt L, Crowell J, Kim Y-I. Folate and DNA methylation. Antioxid Redox Signal. 2012;17:302–26.

    Article  CAS  PubMed  Google Scholar 

  17. Anderson OS, Sant KE, Dolinoy DC. Nutrition and epigenetics: an interplay of dietary methyl donors, one-carbon metabolism and DNA methylation. J Nutr Biochem. 2012;23:853–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Shelnutt KP, Kauwell GPA, Gregory JF III, Maneval DR, Quinlivan EP, Theriaque DW, et al. Methylenetetrahydrofolate reductase 677C--T polymorphism affects DNA methylation in response to controlled folate intake in young women. J Nutr Biochem. 2004;15:554–60.

    Article  CAS  PubMed  Google Scholar 

  19. Huang T, Zheng Y, Qi Q, Xu M, Ley SH, Li Y et al. DNA methylation variants at HIF3A locus, B-vitamin intake, and long-term weight change: gene-diet interactions in two U.S. Cohorts. Diabetes 2015. https://doi.org/10.2337/db15-0264.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Design of the Women’s Health Initiative Clinical Trial and Observational Study. Control Clin Trials. 1998;19:61–109.

  21. Anderson GL, Manson J, Wallace R, Lund B, Hall D, Davis S, et al. Implementation of the Women’s Health Initiative study design. Ann Epidemiol. 2003;13:S5–17.

    Article  PubMed  Google Scholar 

  22. Shumaker SA, Reboussin BA, Espeland MA, Rapp SR, McBee WL, Dailey M, et al. The Women’s Health Initiative Memory Study (WHIMS): a trial of the effect of estrogen therapy in preventing and slowing the progression of dementia. Control Clin Trials. 1998;19:604–21.

    Article  CAS  PubMed  Google Scholar 

  23. Patterson RE, Kristal AR, Tinker LF, Carter RA, Bolton MP, Agurs-Collins T. Measurement characteristics of the Women’s Health Initiative food frequency questionnaire. Ann Epidemiol. 1999;9:178–87.

    Article  CAS  PubMed  Google Scholar 

  24. Kessler DA, Shalala DE. Federal Register/Vol. 61, No. 44/Tuesday, March 5, 1996/Rules and Regulations. 1996; 61.

  25. Agnew-Blais JC, Wassertheil-Smoller S, Kang JH, Hogan PE, Coker LH, Snetselaar LG, et al. Folate, vitamin B-6, and vitamin B-12 intake and mild cognitive impairment and probable dementia in the Women’s Health Initiative Memory Study. J Acad Nutr Diet. 2015;115:231–41.

    Article  PubMed  Google Scholar 

  26. Meyer A-M, Evenson KR, Morimoto L, Siscovick D, White E. Test-retest reliability of the Women’s Health Initiative physical activity questionnaire. Med Sci Sports Exerc. 2009;41:530–8.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Qi L. Gene-diet interaction and weight loss. Curr Opin Lipidol. 2014;25:27–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Main AM, Gillberg L, Jacobsen AL, Nilsson E, Gjesing AP, Hansen T, et al. DNA methylation and gene expression of HIF3A: cross-tissue validation and associations with BMI and insulin resistance. Clin Epigenetics. 2016;8:89.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Strable MS, Ntambi JM. Genetic control of de novo lipogenesis: role in diet-induced obesity. Crit Rev Biochem Mol Biol. 2010;45:199–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Qi L. Mendelian randomization in nutritional epidemiology. Nutr Rev. 2009;67:439–50.

    Article  PubMed  Google Scholar 

  31. Bates CJ, Mansoor MA, Gregory J, Pentiev K, Prentice A. Correlates of plasma homocysteine, cysteine and cysteinyl-glycine in respondents in the British National Diet and Nutrition Survey of young people aged 4-18 years, and a comparison with the survey of people aged 65 years and over. Br J Nutr. 2002;87:71–79.

    Article  CAS  PubMed  Google Scholar 

  32. De Laet C, Wautrecht JC, Brasseur D, Dramaix M, Boeynaems JM, Decuyper J, et al. Plasma homocysteine concentration in a Belgian school-age population. Am J Clin Nutr. 1999;69:968–72.

    Article  PubMed  Google Scholar 

  33. Gunanti IR, Marks GC, Al-Mamun A, Long KZ. Low serum vitamin B-12 and folate concentrations and low thiamin and riboflavin intakes are inversely associated with greater adiposity in Mexican American children. J Nutr. 2014;144:2027–33.

    Article  CAS  PubMed  Google Scholar 

  34. Hassapidou M, Fotiadou E, Maglara E, Papadopoulou SK. Energy intake, diet composition, energy expenditure, and body fatness of adolescents in northern Greece. Obesity (Silver Spring). 2006;14:855–62.

    Article  Google Scholar 

  35. Selhub J. Folate, vitamin B12 and vitamin B6 and one carbon metabolism. J Nutr Health Aging. 2002;6:39–42.

    CAS  PubMed  Google Scholar 

  36. Vasicek TJ, Zeng L, Guan XJ, Zhang T, Costantini F, Tilghman SM. Two dominant mutations in the mouse fused gene are the result of transposon insertions. Genetics. 1997;147:777–86.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Waterland RA, Dolinoy DC, Lin J-R, Smith CA, Shi X, Tahiliani KG. Maternal methyl supplements increase offspring DNA methylation at Axin Fused. Genesis. 2006;44:401–6.

    Article  CAS  PubMed  Google Scholar 

  38. Duhl DM, Vrieling H, Miller KA, Wolff GL, Barsh GS. Neomorphic agouti mutations in obese yellow mice. Nat Genet. 1994;8:59–65.

    Article  CAS  PubMed  Google Scholar 

  39. Waterland RA, Jirtle RL. Transposable elements: targets for early nutritional effects on epigenetic gene regulation. Mol Cell Biol. 2003;23:5293–300.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Pufulete M, Al-Ghnaniem R, Khushal A, Appleby P, Harris N, Gout S, et al. Effect of folic acid supplementation on genomic DNA methylation in patients with colorectal adenoma. Gut . 2005;54:648–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Cravo ML, Pinto AG, Chaves P, Cruz JA, Lage P, Nobre Leitao C, et al. Effect of folate supplementation on DNA methylation of rectal mucosa in patients with colonic adenomas: correlation with nutrient intake. Clin Nutr. 1998;17:45–49.

    Article  CAS  PubMed  Google Scholar 

  42. Cravo M, Fidalgo P, Pereira AD, Gouveia-Oliveira A, Chaves P, Selhub J, et al. DNA methylation as an intermediate biomarker in colorectal cancer: modulation by folic acid supplementation. Eur J Cancer Prev. 1994;3:473–9.

    Article  CAS  PubMed  Google Scholar 

  43. Kim YI, Baik HW, Fawaz K, Knox T, Lee YM, Norton R, et al. Effects of folate supplementation on two provisional molecular markers of colon cancer: a prospective, randomized trial. Am J Gastroenterol. 2001;96:184–95.

    Article  CAS  PubMed  Google Scholar 

  44. Cooney CA, Dave AA, Wolff GL. Maternal methyl supplements in mice affect epigenetic variation and DNA methylation of offspring. J Nutr. 2002;132:2393S–400S.

    Article  CAS  PubMed  Google Scholar 

  45. Vineis P, Chuang S-C, Vaissiere T, Cuenin C, Ricceri F, Johansson M, et al. DNA methylation changes associated with cancer risk factors and blood levels of vitamin metabolites in a prospective study. Epigenetics. 2011;6:195–201.

    Article  CAS  PubMed  Google Scholar 

  46. Hoyo C, Murtha AP, Schildkraut JM, Jirtle RL, Demark-Wahnefried W, Forman MR, et al. Methylation variation at IGF2 differentially methylated regions and maternal folic acid use before and during pregnancy. Epigenetics. 2011;6:928–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Willett WC, Sampson L, Stampfer MJ, Rosner B, Bain C, Witschi J, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol. 1985;122:51–65.

    Article  CAS  PubMed  Google Scholar 

  48. Perneger TV. What’s wrong with Bonferroni adjustments. BMJ. 1998;316:1236–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We appreciate all the participants in WHIMS for their continued cooperation.

Funding

The study was supported by grants from the National Heart, Lung, and Blood Institute (HL071981, HL034594, HL126024), the National Institute of Diabetes and Digestive and Kidney Diseases (DK115679, DK091718, DK100383, DK078616), the Boston Obesity Nutrition Research Center (DK46200), and United States—Israel Binational Science Foundation Grant 2011036. LQ was a recipient of the American Heart Association Scientist Development Award (0730094N).

Author contributions

XL and LQ conceived and designed the study. LQ acquired the data. XL performed data analyses and drafted the manuscript. DS, MZ, and TH provided statistical assistance. All authors contributed to the interpretation of the results and critical revision of the manuscript for important intellectual content and approved the final version of the manuscript. LQ is the guarantor and takes responsibility for the integrity of the data and the accuracy of the data analyses.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lu Qi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, X., Wang, T., Zhao, M. et al. DNA methylation variant, B-vitamins intake and longitudinal change in body mass index. Int J Obes 43, 468–474 (2019). https://doi.org/10.1038/s41366-018-0106-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41366-018-0106-1

Search

Quick links