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.

  • Original Article
  • Published:

Common variants near MC4R in relation to body fat, body fat distribution, metabolic traits and energy expenditure

Abstract

Objective:

Common variants near melanocortin receptor 4 (MC4R) have been related to fatness and type 2 diabetes. We examined the associations of rs17782313 and rs17700633 in relation to body fat, body fat distribution, metabolic traits, weight development and energy expenditure.

Methods:

Obese young men (n=753, BMI31.0 kg m−2) and a randomly selected group (n=874) identified from a population of 174 800 men were re-examined in three surveys at mean ages 35, 46 and 49 years (S-35, S-46 and S-49). Measurements were available at upto eight times from birth to adulthood. Logistic regression analysis was used to assess odds ratio (OR) for the presence of the carrier allele for a given difference in phenotypic values.

Results:

Rs17782313 minor C-allele was associated with overall, abdominal and peripheral fatness (range of OR=1.06–1.14 per z-score units) at all three surveys, although only consistently significant at S-35 and S-46. Rs17700633 minor A-allele was also associated with the fatness measures, but significantly so only at S-49 for overall and abdominal fatness (range of OR=1.03–1.15 per z-score units), and peripheral fatness (OR=1.15–1.20 per z-score units). There were only few significant associations with metabolic traits. The rs17782313 C-allele and the rs17700633 A-allele were both associated with lower high-density lipoprotein cholesterol (range of OR=0.64–0.84 per mol l−1), significantly at S-46. The rs17700633 A-allele was significantly associated with insulin (OR=1.25 per 50 pmol l−1), leptin (OR=1.42 per 10 ng μl−1) and insulin sensitivity (OR=0.81 per model unit). The rs17782313 C-allele and the rs17700633 A-allele were both associated with BMI in childhood and adolescence (range of OR=1.04–1.17 per z-score units), significant for the rs17782313 C-allele at the age of 13–19 years and for rs17700633 A-allele at age 7, 10, 13 and 19 years. No significant associations were found for energy expenditure.

Conclusion:

Near MC4R variants appear to contribute to body fat, body fat distribution, some metabolic traits, weight development during childhood, but not to energy expenditure.

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. Li S, Loos RJ . Progress in the genetics of common obesity: size matters. Curr Opin Lipidol 2008; 19: 113–121.

    Article  CAS  Google Scholar 

  2. Christensen K, Murray JC . What genome-wide association studies can do for medicine. N Engl J Med 2007; 356: 1094–1097.

    Article  CAS  Google Scholar 

  3. 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 

  4. 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 

  5. 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 

  6. Tao YX . Molecular mechanisms of the neural melanocortin receptor dysfunction in severe early onset obesity. Mol Cell Endocrinol 2005; 239: 1–14.

    Article  CAS  Google Scholar 

  7. Clement K, Sørensen TIA (eds). Obesity: Genomics and Postgenomics. Informa Healthcare, London, UK, 2007, pp 221–228.

    Book  Google Scholar 

  8. Vaisse C, Clement K, Durand E, Hercberg S, Guy-Grand B, Froguel P . Melanocortin-4 receptor mutations are a frequent and heterogeneous cause of morbid obesity. J Clin Invest 2000; 106: 253–262.

    Article  CAS  Google Scholar 

  9. Farooqi IS, Yeo GS, Keogh JM, Aminian S, Jebb SA, Butler G et al. Dominant and recessive inheritance of morbid obesity associated with melanocortin 4 receptor deficiency. J Clin Invest 2000; 106: 271–279.

    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. Black E, Holst C, Astrup A, Toubro S, Echwald S, Pedersen O et al. Long-term influences of body-weight changes, independent of the attained weight, on risk of impaired glucose tolerance and type 2 diabetes. Diabet Med 2005; 22: 1199–1205.

    Article  CAS  Google Scholar 

  13. Kring SII, Larsen LH, Holst C, Toubro S, Hansen T, Astrup A et al. Genotype-phenotype associations in obesity dependent on definition of the obesity phenotype. Obesity Facts 2008; 1: 138–145.

    Article  CAS  Google Scholar 

  14. Sonne-Holm S, Sørensen TIA, Jensen G, Schnohr P . Independent effects of weight change and attained body weight on prevalence of arterial hypertension in obese and non-obese men. BMJ 1989; 299: 767–770.

    Article  CAS  Google Scholar 

  15. Sørensen TIA, Sonne-Holm S . Risk in childhood of development of severe adult obesity: retrospective, population-based case-cohort study. Am J Epidemiol 1988; 127: 104–113.

    Article  Google Scholar 

  16. World Health Organization. Physical status: The Use and Interpretation of Anthropometry Report of a WHO Expert Committee. WHO: Geneva, Switzerland, 2003.

  17. Treuth MS, Hunter GR, Kekes-Szabo T . Estimating intraabdominal adipose tissue in women by dual-energy X-ray absorptiometry. Amer J Clin Nutr 1995; 62: 527–532.

    Article  CAS  Google Scholar 

  18. World Health Organization. Definition, diagnosis and classification of Diabetes Mellitus and its complications. Report of a WHO consultation Part 1: Diagnosis and classification of Diabetes Mellitus. Geneva: World Health Organization, 1999.

  19. Hansen T, Drivsholm T, Urhammer SA, Palacios RT, Volund A, Borch-Johnsen K et al. The BIGTT test: a novel test for simultaneous measurement of pancreatic beta-cell function, insulin sensitivity, and glucose tolerance. Diabetes Care 2007; 30: 257–262.

    Article  CAS  Google Scholar 

  20. Schnohr P, Jensen G, Lange P, Scharling H, Appleyard M . The Copenhagen City Heart Study. Tables with data from the third examination 1991–1994. J Euro Soc Cardiol 2001; 3 (Supplement H).

  21. Buemann B, Sørensen TIA, Pedersen O, Black E, Holst C, Toubro S et al. Lower-body fat mass as an independent marker of insulin sensitivity - the role of adiponectin. Int J Obes Relat Metab Disord 2005; 29: 624–631.

    Article  CAS  Google Scholar 

  22. Kring SII, Holst C, Zimmermann E, Jess T, Berentzen T, Toubro S et al. FTO Gene Associated Fatness in Relation to Body Fat Distribution and Metabolic Traits throughout a Broad Range of Fatness. PLoS ONE 2008; 3: e2958.

    Article  Google Scholar 

  23. Zobel DP, Andreasen CH, Grarup N, Eiberg H, Sorensen TI, Sandbaek A et al. Variants near MC4R are associated with obesity and influence obesity-related quantitative traits in a population of middle-aged people: studies of 14 940 Danes. Diabetes 2009; 58: 757–764.

    Article  CAS  Google Scholar 

  24. 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 

  25. Farooqi IS, Keogh JM, Yeo GSH, 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 

  26. Samama P, Rumennik L, Grippo JF . The melanocortin receptor MCR4 controls fat consumption. Regul Pept 2003; 113: 85–88.

    Article  CAS  Google Scholar 

  27. Cordell HJ, Clayton DG . Genetic association studies. Lancet 2005; 366: 1121–1131.

    Article  Google Scholar 

  28. Baker JL, Olsen LW, Sørensen TIA . Childhood body-mass index and the risk of coronary heart disease in adulthood. N Engl J Med 2007; 357: 2329–2337.

    Article  CAS  Google Scholar 

  29. Hill AM, LaForgia J, Coates AM, Buckley JD, Howe PR . Estimating abdominal adipose tissue with DXA and anthropometry. Obesity (Silver Spring) 2007; 15: 504–510.

    Article  Google Scholar 

Download references

Acknowledgements

This work is part of the project ‘Hepatic and adipose tissue and functions in the metabolic syndrome’ (HEPADIP, www.hepadip.org). This study is financially supported by Center for Pharmacogenomics at the University of Copenhagen, Denmark.

SIIK conducted the statistical analyses and wrote the manuscript. CH contributed to the statistical analyses and interpretation of the analyses. TH and OP supervised the molecular genetics aspects, whereas ST and AA supervised the physiological aspects of the study. ST, TH, AA and OP edited the manuscript and contributed with helpful comments and suggestions. TIAS initiated the study and supervised all aspects of the present study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T I A Sørensen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kring, S., Holst, C., Toubro, S. et al. Common variants near MC4R in relation to body fat, body fat distribution, metabolic traits and energy expenditure. Int J Obes 34, 182–189 (2010). https://doi.org/10.1038/ijo.2009.215

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ijo.2009.215

Keywords

This article is cited by

Search

Quick links