Journal of Molecular Medicine

, Volume 87, Issue 5, pp 537–546 | Cite as

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

  • Stéphane Cauchi
  • Fanny Stutzmann
  • Christine Cavalcanti-Proença
  • Emmanuelle Durand
  • Anneli Pouta
  • Anna-Liisa Hartikainen
  • Michel Marre
  • Sylviane Vol
  • Tuija Tammelin
  • Jaana Laitinen
  • Arturo Gonzalez-Izquierdo
  • Alexandra IF Blakemore
  • Paul Elliott
  • David Meyre
  • Beverley Balkau
  • Marjo-Riitta Järvelin
  • Philippe Froguel
Rapid Communication

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.

Keywords

Obesity SNP Population genetics 

Supplementary material

109_2009_451_MOESM1_ESM.doc (34 kb)
Table S1Effects of FTO and MC4R genetic variants on fat mass during adulthood (DOC 34 KB).
109_2009_451_MOESM2_ESM.doc (46 kb)
Table S2Subjects excluded from analysis (DOC 45.5 KB).
109_2009_451_MOESM3_ESM.doc (104 kb)
Fig. S1Interaction 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).
109_2009_451_MOESM4_ESM.doc (26 kb)
Fig. S2Effects on T2D in middle-aged adults (D.E.S.I.R.) carrying increasing numbers of FTO and MC4R risk alleles (DOC 25.5 KB).
109_2009_451_MOESM5_ESM.doc (28 kb)
Fig. S3Interaction of MC4R with gender on obesity (a) and fat mass (b) in adults (D.E.S.I.R.) (DOC 28.5 KB).
109_2009_451_MOESM6_ESM.doc (26 kb)
Fig. S4Effects on fat mass in adults (D.E.S.I.R.) carrying increasing numbers of FTO and MC4R risk alleles (DOC 26 KB).

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Stéphane Cauchi
    • 1
  • Fanny Stutzmann
    • 1
  • Christine Cavalcanti-Proença
    • 1
  • Emmanuelle Durand
    • 1
  • Anneli Pouta
    • 2
    • 3
  • Anna-Liisa Hartikainen
    • 4
  • Michel Marre
    • 5
    • 6
    • 7
  • Sylviane Vol
    • 8
  • Tuija Tammelin
    • 9
  • Jaana Laitinen
    • 9
  • Arturo Gonzalez-Izquierdo
    • 3
  • Alexandra IF Blakemore
    • 10
  • Paul Elliott
    • 3
  • David Meyre
    • 1
  • Beverley Balkau
    • 11
    • 12
  • Marjo-Riitta Järvelin
    • 3
    • 13
    • 14
  • Philippe Froguel
    • 1
    • 10
  1. 1.CNRS 8090—Institute of BiologyPasteur InstituteLilleFrance
  2. 2.Public Health Science and General PracticeUniversity of OuluOuluFinland
  3. 3.Epidemiology and Public HealthImperial College LondonLondonUK
  4. 4.Department of Clinical Sciences/Obstetrics and GynecologyUniversity of OuluOuluFinland
  5. 5.INSERM U695ParisFrance
  6. 6.René Diderot–Paris 7 UniversityParisFrance
  7. 7.Endocrinology–Diabetology and NutritionBichat Claude Bernard HospitalParisFrance
  8. 8.Regional Institute for HealthLa RicheFrance
  9. 9.Finnish Institute of Occupational HealthHelsinkiFinland
  10. 10.Genomic Medicine, Hammersmith HospitalImperial College LondonLondonUK
  11. 11.INSERM U780–IFR69VillejuifFrance
  12. 12.University of Paris-SudParisFrance
  13. 13.Institute of Health Sciences and Biocenter OuluUniversity of OuluOuluFinland
  14. 14.Department of Child and Adolescent HealthNational Public Health InstituteHelsinkiFinland

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