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Twin study of genetic and environmental influences on adult body size, shape, and composition

International Journal of Obesity volume 28, pages 39–48 (2004)Cite this article

Abstract

OBJECTIVE: To investigate the genetic and environmental influences on adult body size, shape, and composition in women and men, and to assess the impact of age.

MATERIALS AND METHODS: In this cross-sectional study of 325 female and 299 male like-sex healthy twin pairs, on average 38 y old (18–67 y), we determined zygosity by DNA similarity, and performed anthropometry and bioelectrical impedance analysis of body composition. The contribution to the total phenotypic variance of genetic, common environment, and individual environment was estimated in multivariate analysis using the FISHER program. Further, these variance components were analysed as linear functions of age.

RESULTS: In both women and men genetic contributions were significant for all phenotypes. Heritability for body mass index was 0.58 and 0.63; for body fat%, 0.59 and 0.63; for total skinfolds, 0.61 and 0.65; for extremity skinfolds 0.65 and 0.62; for truncal skinfolds, 0.50 and 0.69; for suprailiac skinfolds, 0.49 and 0.48; for waist circumference, 0.48 and 0.61; for hip, 0.52 and 0.58; for lean body mass/height2, 0.61 and 0.56; and for height, 0.81 and 0.69, respectively. There was no strong evidence of common environmental effects under the assumptions of no nonadditive effect. The pattern of age trends was inconsistent. However, when significant there was a decrease in heritability with advancing age.

DISCUSSION: These findings suggest that adult body size, shape, and composition are highly heritable in both women and men, although a decreasing tendency is seen with advancing age.

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References

  1. Maes HH, Neale MC, Eaves LJ . Genetic and environmental factors in relative body weight and human adiposity. Behav Genet 1997; 27: 325–351.

    Article  CAS  PubMed  Google Scholar 

  2. Poulsen P, Kyvik KO, Vaag A, Beck-Nielsen H . Heritability of type II (non-insulin-dependent) diabetes mellitus and abnormal glucose tolerance — a population-based twin study. Diabetologia 1999; 42: 139–145.

    Article  CAS  PubMed  Google Scholar 

  3. Rose KM, Newman B, Mayer-Davis EJ, Selby JV . Genetic and behavioral determinants of waist–hip ratio and waist circumference in women twins. Obes Res 1998; 6: 383–392.

    Article  CAS  PubMed  Google Scholar 

  4. Selby JV, Newman B, Quesenberry CP, Fabsitz RR, Carmelli D, Meaney FJ, Slemenda C . Genetic and behavioral influences on body fat distribution. Int J Obes Retal Metal Disord 1990; 14: 593–602.

    CAS  Google Scholar 

  5. Selby JV, Newman B, Quesenberry CP, Fabsitz RR, King MC, Meaney FJ . Evidence of genetic influence on central body fat in middle-aged twins. Hum Biol 1989; 61: 179–194.

    CAS  PubMed  Google Scholar 

  6. Bouchard C, Perusse L, Leblanc C, Tremblay A, Theriault G . Inheritance of the amount and distribution of human body fat. Int J Obes Relat Metab Disord 1988; 12: 205–215.

    CAS  Google Scholar 

  7. Rice T, Daw EW, Gagnon J, Bouchard C, Leon AS, Skinner JS, Wilmore JH, Rao DC . Familial resemblance for body composition measures: the HERITAGE Family Study. Obes Res 1997; 5: 557–562.

    Article  CAS  PubMed  Google Scholar 

  8. Carey DG, Nguyen TV, Campbell LV, Chisholm DJ, Kelly P . Genetic influences on central abdominal fat: a twin study. Int J Obes Relat Metab Disord 1996; 20: 722–726.

    CAS  PubMed  Google Scholar 

  9. Perusse L, Despres JP, Lemieux S, Rice T, Rao DC, Bouchard C . Familial aggregation of abdominal visceral fat level: results from the Quebec family study. Metabolism 1996; 45: 378–382.

    Article  CAS  PubMed  Google Scholar 

  10. Arden NK, Spector TD . Genetic influences on muscle strength, lean body mass, and bone mineral density: a twin study. J Bone Miner Res 1997; 12: 2076–2081.

    Article  CAS  PubMed  Google Scholar 

  11. Kyvik KO, Green A, Beck-Nielsen H . The new Danish twin register: establishment and analysis of twinning rates. Int J Epidemiol 1995; 24: 589–596.

    Article  CAS  PubMed  Google Scholar 

  12. Hansen S, Cold S, Petersen PH, Rose C . Estimates of the sources of variation (variance components) of bioelectric impedance and anthropometric measurements in an epidemiological case–control study of breast cancer. Eur J Clin Nutr 1997; 51: 764–770.

    Article  CAS  PubMed  Google Scholar 

  13. Heitmann BL . Prediction of body water and fat in adult Danes from measurement of electrical impedance. A validation study. Int J Obes Relat Metab Disord 1990; 14: 789–802.

    CAS  Google Scholar 

  14. Heitmann BL . Evaluation of body fat estimated from body mass index, skinfolds and impedance. A comparative study. Eur J Clin Nutr 1990; 44: 831–837.

    CAS  PubMed  Google Scholar 

  15. Heitmann BL . Impedance: a valid method in assessment of body composition? Eur J Clin Nutr 1994; 48: 228–240.

    CAS  PubMed  Google Scholar 

  16. Lange K, Westlake J, Spence MA . Extensions to pedigree analysis. III. Variance components by the scoring method. Ann Hum Genet 1976; 39: 485–491.

    Article  CAS  PubMed  Google Scholar 

  17. Hopper JL . Review of FISHER. Genet Epidemiol 1988; 5: 473–476.

    Article  CAS  PubMed  Google Scholar 

  18. Hopper JL, Mathews JD . Extensions to multivariate normal models for pedigree analysis. Ann Hum Genet 1982; 46: 373–383.

    Article  CAS  PubMed  Google Scholar 

  19. Hopper JL, Matthews JD . A multivariate model for pedigree analysis and longitudinal data, and the software “FISHER”. Aust J Statist 1994; 36: 153–176.

    Article  Google Scholar 

  20. Nordhamn K, Sodergren E, Olsson E, Karlstrom B, Vessby B, Bergh L . Reliability of anthropometric measurements in overweight and lean subjects: consequences for correlations between anthropometric and other variables. Int J Obes Relat Metab Disord 2000; 24: 652–657.

    Article  CAS  PubMed  Google Scholar 

  21. Ulijaszek SJ, Kerr DA . Anthropometric measurement error and the assessment of nutritional status. Br J Nutr 1999; 82: 165–177.

    Article  CAS  PubMed  Google Scholar 

  22. Korkeila M, Kaprio J, Rissanen A, Koskenvuo M . Effects of gender and age on the heritability of body mass index. Int J Obes Relat Metab Disord 1991; 15: 647–654.

    CAS  Google Scholar 

  23. Herskind AM, McGue M, Sørensen TI, Harvald B . Sex and age specific assessment of genetic and environmental influences on body mass index in twins. Int J Obes Relat Metab Disord 1996; 20: 106–113.

    CAS  PubMed  Google Scholar 

  24. Carmichael CM, McGue M . A cross-sectional examination of height, weight, and body mass index in adult twins. J Gerontol A Biol Sci Med Sci 1995; 50: B237–B244.

    Article  CAS  PubMed  Google Scholar 

  25. Stunkard AJ, Foch TT, Hrubec Z . A twin study of human obesity. JAMA 1986; 256: 51–54.

    Article  CAS  PubMed  Google Scholar 

  26. Meyer JM . Genetic Studies of Obesity across the Life Span. In: Turner JR, Cardon LRHewitt JK (eds). Behavior genetic approaches in behavioral medicine. Plenum Press: New York, 1995. pp 145–166.

    Chapter  Google Scholar 

  27. Korkeila M, Kaprio J, Rissanen A, Koskenvuo M . Consistency and change of body mass index and weight. A study on 5967 adult Finnish twin pairs. Int J Obes Relat Metab Disord 1995; 19: 310–317.

    CAS  PubMed  Google Scholar 

  28. Fabsitz RR, Carmelli D, Hewitt JK . Evidence for independent genetic influences on obesity in middle age. Int J Obes Relat Metab Disord 1992; 16: 657–666.

    CAS  PubMed  Google Scholar 

  29. Harris JR, Tambs K, Magnus P . Sex-specific effects for body mass index in the new Norwegian twin panel. Genet Epidemiol 1995; 12: 251–265.

    Article  CAS  PubMed  Google Scholar 

  30. Neale MC, Cardon LR . Methodology for genetic studies of twins and families. Kluwer Academic: Dordrecht, 1992.

    Book  Google Scholar 

  31. Turula M, Kaprio J, Rissanen A, Koskenvuo M . Body weight in the Finnish Twin Cohort. Diabetes Res Clin Pract 1990; 10 (Suppl 1): S33–S36.

    Article  PubMed  Google Scholar 

  32. Stunkard AJ, Harris JR, Pedersen NL, McClearn GE . The body-mass index of twins who have been reared apart. N Engl J Med 1990; 322: 1483–1487.

    Article  CAS  PubMed  Google Scholar 

  33. Allison DB, Heshka S, Neale MC, Lykken DT, Heymsfield SB . A genetic analysis of relative weight among 4,020 twin pairs, with an emphasis on sex effects. Health Psychol 1994; 13: 362–365.

    Article  CAS  PubMed  Google Scholar 

  34. Jalkanen L, Tuomilehto J, Tanskanen A, Puska P . Accuracy of self-reported body weight compared to measured body weight. A population survey. Scand J Soc Med 1987; 15: 191–198.

    Article  CAS  PubMed  Google Scholar 

  35. Feinleib M, Garrison RJ, Fabsitz R, Christian JC, Hrubec Z, Borhani NO, Kannel WB, Rosenman R, Schwartz JT, Wagner JO . The NHLBI twin study of cardiovascular disease risk factors: methodology and summary of results. Am J Epidemiol 1977; 106: 284–285.

    Article  CAS  PubMed  Google Scholar 

  36. Fabsitz R, Feinleib M, Hrubec Z . Weight changes in adult twins. Acta Genet Med Gemellol (Rome) 1980; 29: 273–279.

    Article  CAS  Google Scholar 

  37. Austin MA, King MC, Bawol RD, Hulley SB, Friedman GD . Risk factors for coronary heart disease in adult female twins. Genetic heritability and shared environmental influences. Am J Epidemiol 1987; 125: 308–318.

    Article  CAS  PubMed  Google Scholar 

  38. Stunkard AJ, Sørensen TI, Hanis C, Teasdale TW, Chakraborty R, Schull WJ, Schulsinger F . An adoption study of human obesity. N Engl J Med 1986; 314: 193–198.

    Article  CAS  PubMed  Google Scholar 

  39. Sørensen TI, Price RA, Stunkard AJ, Schulsinger F . Genetics of obesity in adult adoptees and their biological siblings. BMJ 1989; 298: 87–90.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Sørensen TI, Holst C, Stunkard AJ, Skovgaard LT . Correlations of body mass index of adult adoptees and their biological and adoptive relatives. Int J Obes Relat Metab Disord 1992; 16: 227–236.

    PubMed  Google Scholar 

  41. Vogler GP, Sørensen TI, Stunkard AJ, Srinivasan MR, Rao DC . Influences of genes and shared family environment on adult body mass index assessed in an adoption study by a comprehensive path model. Int J Obes Relat Metab Disord 1995; 19: 40–45.

    CAS  PubMed  Google Scholar 

  42. Allison DB, Paultre F, Goran MI, Poehlman ET, Heymsfield SB . Statistical considerations regarding the use of ratios to adjust data. Int J Obes Relat Metab Disord 1995; 19: 644–652.

    CAS  PubMed  Google Scholar 

  43. Rankinen T, Kim SY, Perusse L, Despres JP, Bouchard C . The prediction of abdominal visceral fat level from body composition and anthropometry: ROC analysis. Int J Obes Relat Metab Disord 1999; 23: 801–809.

    Article  CAS  PubMed  Google Scholar 

  44. Pouliot MC, Despres JP, Lemieux S, Moorjani S, Bouchard C, Tremblay A, Nadeau A, Lupien PJ . Waist circumference and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women. Am J Cardiol 1994; 73: 460–468.

    Article  CAS  PubMed  Google Scholar 

  45. Rice T, Perusse L, Bouchard C, Rao DC . Familial clustering of abdominal visceral fat and total fat mass: the Quebec family study. Obes Res 1996; 4: 253–261.

    Article  CAS  PubMed  Google Scholar 

  46. Silventoinen K, Kaprio J, Lahelma E, Viken RJ, Rose RJ . Sex differences in genetic and environmental factors contributing to body-height. Twin Res 2001; 4: 25–29.

    Article  CAS  PubMed  Google Scholar 

  47. Stini WA . Nutritional stress and growth: sex difference in adaptive response. Am J Phys Anthropol 1969; 31: 417–426.

    Article  CAS  PubMed  Google Scholar 

  48. Johnston F, Borden M, MacVean R . The effects of genetic and environmental factors upon the growth of children in Guatemala City. In: Watts E, Johnston Flasker G (eds). Biosocial interrelations in population adaption. The Hague: Mouton, 1977.

    Google Scholar 

  49. Rudolf MC, Hochberg Z . Are boys more vulnerable to psychosocial growth retardation? Dev Med Child Neurol 1990; 32: 1022–1025.

    Article  CAS  PubMed  Google Scholar 

  50. Tambs K, Moum T, Eaves LJ, Neale MC, Midthjell K, Lund-Larsen PG, Næss S, Holmen J . Genetic and environmental contributions to the variance of the body mass index in a Norwegian sample of first- and second-degree relatives. Am J Hum Biol 1991; 3: 257–267.

    Article  PubMed  Google Scholar 

  51. Moll PP, Burns TL, Lauer RM . The genetic and environmental sources of body mass index variability: the muscatine ponderosity family study. Am J Hum Genet 1991; 49: 1243–1255.

    CAS  PubMed  PubMed Central  Google Scholar 

  52. Borecki IB, Blangero J, Rice T, Perusse L, Bouchard C, Rao DC . Evidence for at least two major loci influencing human fatness. Am J Hum Genet 1998; 63: 831–838.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Borecki IB, Rice T, Perusse L, Bouchard C, Rao DC . Major gene influence on the propensity to store fat in trunk versus extremity depots: evidence from the Quebec Family Study. Obes Res 1995; 3: 1–8.

    Article  CAS  PubMed  Google Scholar 

  54. Hasstedt SJ, Ramirez ME, Kuida H, Williams RR . Recessive inheritance of a relative fat pattern. Am J Hum Genet 1989; 45: 917–925.

    CAS  PubMed  PubMed Central  Google Scholar 

  55. Bouchard C, Rice T, Lemieux S, Despres JP, Perusse L, Rao DC . Major gene for abdominal visceral fat area in the Quebec Family Study. Int J Obes Relat Metab Disord 1996; 20: 420–427.

    CAS  PubMed  Google Scholar 

  56. Rice T, Despres JP, Perusse L, Gagnon J, Leon AS, Skinner JS, Wilmore JH, Rao DC, Bouchard C . Segregation analysis of abdominal visceral fat: the HERITAGE Family Study. Obes Res 1997; 5: 417–424.

    Article  CAS  PubMed  Google Scholar 

  57. Chagnon YC, Rankinen T, Snyder E, Weisnagel SJ, Perusse L, Bouchard C . The human obesity gene map: the 2002 update. Obes Res 2003; 11: 313–367.

    Article  CAS  PubMed  Google Scholar 

  58. Sørensen TI, Echwald SM . Obesity genes. BMJ 2001; 322: 630–631.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Farooqi IS, Yeo GS, Keogh JM, Aminian S, Jebb SA, Butler G, Cheetham T, O'Rahilly S . Dominant and recessive inheritance of morbid obesity associated with melanocortin 4 receptor deficiency. J Clin Invest 2000; 106: 271–279.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. 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  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The GEMINAKAR project was supported by grants from Danish Medical Research Fund, The Danish Diabetes Association, The NOVO Foundation, The Danish Heart Foundation, Apotekerfonden, Aage og Johanne Louis-Hansen's Foundation, Direktør E Danielsen og Hustrus Foundation, Direktør Kurt Bønnelycke og Hustru Grethes Foundation, Fonden til Lægevidenskabens Fremme, Fru Asta Florida Boldings Legat, Ove William og Edith Buhl Olesens Mindelegat, The Faculty of Health at University of Southern Denmark, The Danish National Science Foundation, Torkil Steenbecks Legat, Gangstedfonden, and King Christian the Tenth's Foundation. The authors acknowledge Mrs LK Brigsted, Mrs B Carstensen, Mr E Eilersen, Mrs E Beck-Nielsen, Mrs B Dalsgaard, and Mrs Dorthe Viborg for excellent technical assistance. Thanks are deeply expressed to all the twins who took the day off to participate in the GEMINAKAR project.

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Authors and Affiliations

  1. The Danish Twin Registry, Epidemiology, Institute of Public Health, University of Southern Denmark, Denmark

    K Schousboe & K O Kyvik

  2. Department of Public Health, Centre for Genetic Epidemiology, University of Melbourne, Australia

    K Schousboe, P M Visscher, B Erbas & J L Hopper

  3. Institute of Cell, Animal and Population Biology, University of Edinburgh, Scotland

    P M Visscher

  4. Department of Endocrinology, Odense University Hospital, Denmark

    J E Henriksen

  5. Danish Epidemiology Science Centre, Institute of Preventive Medicine, Copenhagen University Hospital, Denmark

    B L Heitmann & T I A Sørensen

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  1. K Schousboe
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Correspondence to K Schousboe.

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Schousboe, K., Visscher, P., Erbas, B. et al. Twin study of genetic and environmental influences on adult body size, shape, and composition. Int J Obes 28, 39–48 (2004). https://doi.org/10.1038/sj.ijo.0802524

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