Skip to main content
Log in

Combined effects of MC4R and FTO common genetic variants on obesity in European general populations

  • Rapid Communication
  • Published:
Journal of Molecular Medicine Aims and scope Submit manuscript

Abstract

Genome-wide association scans recently identified common polymorphisms, in intron 1 of FTO and 188 kb downstream MC4R, that modulate body mass index (BMI) and associate with increased risk of obesity. Although their individual contribution to obesity phenotype is modest, their combined effects and their interactions with environmental factors remained to be evaluated in large general populations from birth to adulthood. In the present study, we analyzed independent and combined effects of the FTO rs1421085 and MC4R rs17782313 risk alleles on BMI, fat mass, prevalence and incidence of obesity and subsequent type 2 diabetes (T2D) as well as their interactions with physical activity levels and gender in two European prospective population-based cohorts of 4,762 Finnish adolescents (NFBC 1986) and 3,167 French adults (D.E.S.I.R.). Compared to participants carrying neither FTO nor MC4R risk allele (20–24% of the populations), subjects with three or four risk alleles (7–10% of the populations) had a 3-fold increased susceptibility of developing obesity during childhood. In adults, their combined effects were more modest (~1.8-fold increased risk) and associated with a 1.27% increase in fat mass (P = 0.001). Prospectively, we demonstrated that each FTO and MC4R risk allele increased obesity and T2D incidences by 24% (P = 0.02) and 21% (P = 0.02), respectively. However, the effect on T2D disappeared after adjustment for BMI. The Z-BMI and ponderal index of newborns homozygous for the rs1421085 C allele were 0.1 units (P = 0.02) and 0.27 g/cm3 (P = 0.005) higher, respectively, than in those without FTO risk allele. The MC4R rs17782313 C allele was more associated with obesity and fat mass deposition in males than in females (P = 0.003 and P = 0.03, respectively) and low physical activity accentuated the effect of the FTO polymorphism on BMI increase and obesity prevalence (P = 0.008 and P = 0.01, respectively). In European general populations, the combined effects of common polymorphisms in FTO and MC4R are therefore additive, predictive of obesity and T2D, and may be influenced by interactions with physical activity levels and gender, respectively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

References

  1. Frayling TM, Timpson NJ, Weedon MN et al (2007) A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316:889–894

    Article  CAS  PubMed  Google Scholar 

  2. Scuteri A, Sanna S, Chen WM et al (2007) Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet 3:e115

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  4. Loos RJ, Lindgren CM, Li S et al (2008) Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 40:768–775

    Article  CAS  PubMed  Google Scholar 

  5. Dina C, Meyre D, Gallina S et al (2007) Variation in FTO contributes to childhood obesity and severe adult obesity. Nat Genet 39:724–726

    Article  CAS  PubMed  Google Scholar 

  6. Lopez-Bermejo A, Petry CJ, Diaz M et al (2008) The association between the FTO gene and fat mass in humans develops by the postnatal age of two weeks. J Clin Endocrinol Metab 93:1501–1505

    Google Scholar 

  7. Andreasen CH, Stender-Petersen KL, Mogensen MS et al (2008) Low physical activity accentuates the effect of the FTO rs9939609 polymorphism on body fat accumulation. Diabetes 57:95–101

    Article  CAS  PubMed  Google Scholar 

  8. Jacobsson JA, Danielsson P, Svensson V et al (2008) Major gender difference in association of FTO gene variant among severely obese children with obesity and obesity related phenotypes. Biochem Biophys Res Commun 368:476–482

    Article  CAS  PubMed  Google Scholar 

  9. Rampersaud E, Mitchell BD, Pollin TI et al (2008) Physical activity and the association of common FTO gene variants with body mass index and obesity. Arch Intern Med 168:1791–1797

    Article  PubMed  Google Scholar 

  10. Farooqi S (2007) Insights from the genetics of severe childhood obesity. Horm Res 68 Suppl 5:5–7

    Article  Google Scholar 

  11. Rankinen T, Zuberi A, Chagnon YC et al (2006) The human obesity gene map: the 2005 update. Obesity (Silver Spring) 14:529–644

    Article  Google Scholar 

  12. Price RA, Li WD, Zhao H (2008) FTO gene SNPs associated with extreme obesity in cases, controls and extremely discordant sister pairs. BMC Med Genet 9:4

    Article  PubMed  Google Scholar 

  13. Peeters A, Beckers S, Verrijken A et al (2008) Variants in the FTO gene are associated with common obesity in the Belgian population. Mol Genet Metab 93:481–484

    Article  CAS  PubMed  Google Scholar 

  14. Hunt SC, Stone S, Xin Y et al (2008) Association of the FTO gene with BMI. Obesity (Silver Spring) 16:902–904

    Article  CAS  Google Scholar 

  15. Kring SI, Holst C, Zimmermann E et al (2008) FTO gene associated fatness in relation to body fat distribution and metabolic traits throughout a broad range of fatness. PLoS ONE 3:e2958

    Article  PubMed  Google Scholar 

  16. Freathy RM, Timpson NJ, Lawlor DA et al (2008) Common variation in the FTO gene alters diabetes-related metabolic traits to the extent expected given its effect on BMI. Diabetes 57:1419–1426

    Article  CAS  PubMed  Google Scholar 

  17. Hertel JK, Johansson S, Raeder H et al (2008) Genetic analysis of recently identified type 2 diabetes loci in 1,638 unselected patients with type 2 diabetes and 1,858 control participants from a Norwegian population-based cohort (the HUNT study). Diabetologia 51:971–977

    Article  CAS  PubMed  Google Scholar 

  18. Ng MC, Park KS, Oh B et al (2008) Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians. Diabetes 57:2226–2233

    Article  CAS  PubMed  Google Scholar 

  19. Sanghera DK, Ortega L, Han S et al (2008) Impact of nine common type 2 diabetes risk polymorphisms in Asian Indian Sikhs: PPARG2 (Pro12Ala), IGF2BP2, TCF7L2 and FTO variants confer a significant risk. BMC Med Genet 9:59

    Article  PubMed  Google Scholar 

  20. Qi L, Kraft P, Hunter DJ et al (2008) 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 17:3502–3508

    Google Scholar 

  21. Berentzen T, Kring SI, Holst C et al (2008) Lack of association of fatness-related FTO gene variants with energy expenditure or physical activity. J Clin Endocrinol Metab 93:2904–2908

    Article  CAS  PubMed  Google Scholar 

  22. Huszar D, Lynch CA, Fairchild-Huntress V et al (1997) Targeted disruption of the melanocortin-4 receptor results in obesity in mice. Cell 88:131–141

    Article  CAS  PubMed  Google Scholar 

  23. Dempfle A, Hinney A, Heinzel-Gutenbrunner M et al (2004) Large quantitative effect of melanocortin-4 receptor gene mutations on body mass index. J Med Genet 41:795–800

    Article  CAS  PubMed  Google Scholar 

  24. Stutzmann F, Tan K, Vatin V et al (2008) Prevalence of melanocortin-4 receptor deficiency in Europeans and their age-dependent penetrance in multigenerational pedigrees. Diabetes 57:2511–2518

    Article  CAS  PubMed  Google Scholar 

  25. Blum M, Roberts JL, Wardlaw SL (1989) Androgen regulation of proopiomelanocortin gene expression and peptide content in the basal hypothalamus. Endocrinology 124:2283–2288

    Article  CAS  PubMed  Google Scholar 

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

    CAS  PubMed  Google Scholar 

  27. Boneva-Asiova Z, Boyanov MA (2008) Body composition analysis by leg-to-leg bioelectrical impedance and dual-energy X-ray absorptiometry in non-obese and obese individuals. Diabetes Obes Metab 10:1012–1018

    Article  CAS  PubMed  Google Scholar 

  28. Hemmingsson E, Udden J, Neovius M (2009) No apparent progress in bioelectrical impedance accuracy: validation against metabolic risk and DXA. Obesity (Silver Spring) 17:183–187

    Google Scholar 

  29. Pietrobelli A, Rubiano F, St-Onge MP et al (2004) New bioimpedance analysis system: improved phenotyping with whole-body analysis. Eur J Clin Nutr 58:1479–1484

    Article  CAS  PubMed  Google Scholar 

  30. Cole P, MacMahon B (1971) Attributable risk percent in case–control studies. Br J Prev Soc Med 25:242–244

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This work was partly supported by the French Government “Agence Nationale de la Recherche”, and the charities: “Association Française des Diabétiques” and “Programme national de recherche sur le diabète”. We thank Marianne Deweider and Frederic Allegaert for the DNA bank management. We are indebted to all subjects who participated to this study. The D.E.S.I.R. study has been supported by CNAMTS, Lilly, Novartis Pharma, and Sanofi-Aventis, by INSERM (“Réseaux en Santé Publique, Interactions entre les déterminants de la santé”), by “Association Diabète Risque Vasculaire”, “Fédération Française de Cardiologie”, “Fondation de France”, ALFEDIAM, ONIVINS, Ardix Medical, Bayer Diagnostics, Becton Dickinson, Cardionics, Merck Santé, Novo Nordisk, Pierre Fabre, Roche, and Topcon. The D.E.S.I.R. Study Group: INSERM U780: B. Balkau, P. Ducimetière, E. Eschwège; INSERM U367: F. Alhenc-Gelas; CHU D'Angers: Y. Gallois, A. Girault; Bichat Hospital: F. Fumeron, M. Marre; Medical Examination Services: Alençon, Angers, Caen, Chateauroux, Cholet, Le Mans, and Tours; Research Institute for General Medicine: J. Cogneau; General practitioners of the region; Cross-Regional Institute for Health: C. Born, E. Caces, M. Cailleau, J. G. Moreau, F. Rakotozafy, J. Tichet, S. Vol. The NFBC 1986 study has been supported by the Oulu University Hospital, Finland, 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 Philippe Froguel.

Additional information

Marjo-Riitta Järvelin and Philippe Froguel equally contributed to this work.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Table S1

Effects of FTO and MC4R genetic variants on fat mass during adulthood (DOC 34 KB).

Table S2

Subjects excluded from analysis (DOC 45.5 KB).

Fig. S1

Interaction of FTO with physical activity on Z-BMI in adolescents (NFBC 1986, a) and on obesity in middle-aged adults (D.E.S.I.R., b). Physical activity: adults [1–4 = hours of physical activity per week], adolescents [1 = inactive (less than 1 h a week); 2 = somewhat active (1–3 h a week); 3 = active (four or more hours per week)] (DOC 103 KB).

Fig. S2

Effects on T2D in middle-aged adults (D.E.S.I.R.) carrying increasing numbers of FTO and MC4R risk alleles (DOC 25.5 KB).

Fig. S3

Interaction of MC4R with gender on obesity (a) and fat mass (b) in adults (D.E.S.I.R.) (DOC 28.5 KB).

Fig. S4

Effects on fat mass in adults (D.E.S.I.R.) carrying increasing numbers of FTO and MC4R risk alleles (DOC 26 KB).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cauchi, S., Stutzmann, F., Cavalcanti-Proença, C. et al. Combined effects of MC4R and FTO common genetic variants on obesity in European general populations. J Mol Med 87, 537–546 (2009). https://doi.org/10.1007/s00109-009-0451-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00109-009-0451-6

Keywords

Navigation