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.

  • Short Communication
  • Published:

Common genetic variation near MC4R is associated with eating behaviour patterns in European populations

Abstract

Both rs17782313 (near MC4R) and rs1421085 (FTO) polymorphisms have been consistently associated with increased risk of obesity and with body mass index (BMI) variation. An effect of both polymorphisms on satiety has recently been suggested. We genotyped rs17782313 and rs1421085 in 5764 relatives from 1109 French pedigrees with familial obesity, 1274 Swiss class III obese adults as well as in 4877 French adults and 5612 Finnish teenagers from two randomly selected population cohorts. In all subjects, eating behaviour traits were documented through questionnaires. We first assessed the association of both single nucleotide polymorphisms with BMI and then studied eating behaviour. Under an additive model, the rs17782313-C MC4R allele showed a trend towards higher percentages of snacking in both French obese children (P=0.01) and Swiss obese adults (P=0.04) as well as in adolescents from the Finnish general population (P=0.04). In French adults with familial obesity, this allele tended to be also associated with a higher Stunkard hunger score (P=0.02) and in obese children with a higher prevalence of eating large amounts of food (P=0.04). However, no consistent association of the FTO rs1421085-C allele and available eating behaviour trait was found in our studied populations. The rs17782313-C allele nearby MC4R may modulate eating behaviour-related phenotypes in European obese and randomly selected populations, in both children and adults, supporting a regulatory role of this genetic variant on eating behaviour, as previously shown for MC4R non-synonymous loss-of-function mutations. The potential effect of the obesity-associated FTO gene on eating behaviour deserves additional investigation.

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

Similar content being viewed by others

References

  1. Dina C, Meyre D, Gallina S, Durand E, Korner A, Jacobson P et al. Variation in FTO contributes to childhood obesity and severe adult obesity. Nat Genet 2007; 39: 724–726.

    Article  CAS  Google Scholar 

  2. Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 2007; 316: 889–894.

    Article  CAS  Google Scholar 

  3. Hinney A, Nguyen TT, Scherag A, Friedel S, Bronner G, Muller TD et al. Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants. PLoS ONE 2007; 2: e1361.

    Article  Google Scholar 

  4. Scuteri A, Sanna S, Chen WM, Uda M, Albai G, Strait J et al. Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet 2007; 3: e115.

    Article  Google Scholar 

  5. Fredriksson R, Hagglund M, Olszewski PK, Stephansson O, Jacobsson JA, Olszewska AM et al. The obesity gene, FTO, is of ancient origin, upregulated during food deprivation and expressed in neurons of feeding-related nuclei of the brain. Endocrinology 2008; 149: 2062–2071.

    Article  CAS  Google Scholar 

  6. Gerken T, Girard CA, Tung YC, Webby CJ, Saudek V, Hewitson KS et al. The obesity-associated FTO gene encodes a 2-oxoglutarate-dependent nucleic acid demethylase. Science 2007; 318: 1469–1472.

    Article  CAS  Google Scholar 

  7. Do R, Bailey SD, Desbiens K, Belisle A, Montpetit A, Bouchard C et al. Genetic variants of FTO influence adiposity, insulin sensitivity, leptin levels, and resting metabolic rate in the Quebec Family Study. Diabetes 2008; 57: 1147–1150.

    Article  CAS  Google Scholar 

  8. Speakman JR, Rance KA, Johnstone AM . Polymorphisms of the FTO gene are associated with variation in energy intake, but not energy expenditure. Obesity (Silver Spring) 2008; 16: 1961–1965.

    Article  CAS  Google Scholar 

  9. Wardle J, Carnell S, Haworth CM, Farooqi IS, O’Rahilly S, Plomin R . Obesity-associated genetic variation in FTO is associated with diminished satiety. J Clin Endocrinol Metab 2008; 93: 3640–3643.

    Article  CAS  Google Scholar 

  10. Loos RJ, Lindgren CM, Li S, Wheeler E, Zhao JH, Prokopenko I et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 2008; 40: 768–775.

    Article  CAS  Google Scholar 

  11. Chambers JC, Elliott P, Zabaneh D, Zhang W, Li Y, Froguel P et al. Common genetic variation near MC4R is associated with waist circumference and insulin resistance. Nat Genet 2008; 40: 716–718.

    Article  CAS  Google Scholar 

  12. Gantz I, Miwa H, Konda Y, Shimoto Y, Tashiro T, Watson SJ et al. Molecular cloning, expression, and gene localization of a fourth melanocortin receptor. J Biol Chem 1993; 268: 15174–15179.

    CAS  PubMed  Google Scholar 

  13. Farooqi IS, Keogh JM, Yeo GS, Lank EJ, Cheetham T, O’Rahilly S . Clinical spectrum of obesity and mutations in the melanocortin 4 receptor gene. N Engl J Med 2003; 348: 1085–1095.

    Article  CAS  Google Scholar 

  14. 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.

    Article  CAS  Google Scholar 

  15. Rolland-Cachera MF, Cole TJ, Sempe M, Tichet J, Rossignol C, Charraud A . Body mass index variations: centiles from birth to 87 years. Eur J Clin Nutr 1991; 45: 13–21.

    CAS  PubMed  Google Scholar 

  16. Poskitt EM . Defining childhood obesity: the relative body mass index (BMI). European Childhood Obesity group. Acta Paediatr 1995; 84: 961–963.

    Article  CAS  Google Scholar 

  17. Stunkard AJ, Messick S . The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res 1985; 29: 71–83.

    Article  CAS  Google Scholar 

  18. Durand E, Boutin P, Meyre D, Charles MA, Clement K, Dina C et al. Polymorphisms in the amino acid transporter solute carrier family 6 (neurotransmitter transporter) member 14 gene contribute to polygenic obesity in French Caucasians. Diabetes 2004; 53: 2483–2486.

    Article  CAS  Google Scholar 

  19. Branson R, Potoczna N, Kral JG, Lentes KU, Hoehe MR, Horber FF . Binge eating as a major phenotype of melanocortin 4 receptor gene mutations. N Engl J Med 2003; 348: 1096–1103.

    Article  CAS  Google Scholar 

  20. Spitzer RL, Yanovski S, Wadden T, Wing R, Marcus MD, Stunkard A et al. Binge eating disorder: its further validation in a multisite study. Int J Eat Disord 1993; 13: 137–153.

    Article  CAS  Google Scholar 

  21. Balkau B . An epidemiologic survey from a network of French Health Examination Centres, (D.E.S.I.R.): epidemiologic data on the insulin resistance syndrome. Rev Epidemiol Sante Publique 1996; 44: 373–375.

    CAS  PubMed  Google Scholar 

  22. Meyre D, Bouatia-Naji N, Vatin V, Veslot J, Samson C, Tichet J et al. ENPP1 K121Q polymorphism and obesity, hyperglycaemia and type 2 diabetes in the prospective DESIR Study. Diabetologia 2007; 50: 2090–2096.

    Article  CAS  Google Scholar 

  23. Balkau B, Eschwege E, Tichet J, Marre M . Proposed criteria for the diagnosis of diabetes: evidence from a French epidemiological study (D.E.S.I.R.). Diabetes Metab 1997; 23: 428–434.

    CAS  PubMed  Google Scholar 

  24. O’Connell JR, Weeks DE . PedCheck: a program for identification of genotype incompatibilities in linkage analysis. Am J Hum Genet 1998; 63: 259–266.

    Article  Google Scholar 

  25. Spielman RS, Ewens WJ . A sibship test for linkage in the presence of association: the sib transmission/disequilibrium test. Am J Hum Genet 1998; 62: 450–458.

    Article  CAS  Google Scholar 

  26. Zhang S, Zhang K, Li J, Sun F, Zhao H . Test of association for quantitative traits in general pedigrees: the quantitative pedigree disequilibrium test. Genet Epidemiol 2001; 21 (Suppl 1): S370–S375.

    Article  Google Scholar 

  27. Hardin JW, Hilbe JM . Generalized Estimating Equations. http://www.stata.com/help.cgi?xtgee (Chapman & Hall/CRC, 2003).

  28. R-Development-Core-Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org 2007.

  29. Cauchi S, Stutzmann F, Proença C, Durand E, Meyre D, Pouta A et al. Combined effects of MC4R and FTO genetic variants on obesity in European general populations. Plos Genetics 2008. Submitted.

  30. Farooqi S, O’Rahilly S . Genetics of obesity in humans. Endocr Rev 2006; 27: 710–718.

    Article  CAS  Google Scholar 

  31. Jakes RW, Day NE, Luben R, Welch A, Bingham S, Mitchell J et al. Adjusting for energy intake—what measure to use in nutritional epidemiological studies? Int J Epidemiol 2004; 33: 1382–1386.

    Article  Google Scholar 

  32. Heid IM, Vollmert C, Hinney A, Doring A, Geller F, Lowel H et al. Association of the 103I MC4R allele with decreased body mass in 7937 participants of two population based surveys. J Med Genet 2005; 42: e21.

    Article  CAS  Google Scholar 

  33. Stutzmann F, Vatin V, Cauchi S, Morandi A, Jouret B, Landt O et al. Non-synonymous polymorphisms in melanocortin-4 receptor protect against obesity: the two facets of a Janus obesity gene. Hum Mol Genet 2007; 16: 1837–1844.

    Article  CAS  Google Scholar 

  34. Andreasen CH, Stender-Petersen KL, Mogensen MS, Torekov SS, Wegner L, Andersen G et al. Low physical activity accentuates the effect of the FTO rs9939609 polymorphism on body fat accumulation. Diabetes 2008; 57: 95–101.

    Article  CAS  Google Scholar 

  35. Berentzen T, Kring SI, Holst C, Zimmermann E, Jess T, Hansen T et al. Lack of association of fatness-related FTO gene variants with energy expenditure or physical activity. J Clin Endocrinol Metab 2008; 93: 2904–2908.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank the patients and families who participated in this study. This work was supported in part by Conseil Regional Nord-Pas de Calais and ‘Association Française des Diabétiques’ funding. The NFBC study was conducted with the support of the Academy of Finland and the European Commission (Framework 5 award QLG1-CT-2000-01643). We thank Professor Leena Peltonen-Palotie for her contribution in DNA extraction and distribution.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D Meyre.

Additional information

Competing interest statement

The authors declare that they have no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Stutzmann, F., Cauchi, S., Durand, E. et al. Common genetic variation near MC4R is associated with eating behaviour patterns in European populations. Int J Obes 33, 373–378 (2009). https://doi.org/10.1038/ijo.2008.279

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ijo.2008.279

Keywords

This article is cited by

Search

Quick links