Genes & Nutrition

, Volume 8, Issue 2, pp 241–252

Genetic and environmental influences on nutrient intake

  • Jianghong Liu
  • Catherine Tuvblad
  • Adrian Raine
  • Laura Baker
Research Paper

Abstract

The relationship between genetic and the environment represents a pathway to better understand individual variations in nutrition intake and food preferences. However, the present literature is weakened somewhat by methodological flaws (e.g., overreliance on self-report questionnaires), discrepancies in statistical approaches, and inconsistent findings. Little research on this topic to date has included examination of micronutrient intake. The purpose of this study is to improve the existing literature on genetic and environmental influences on energy and nutrient intake by addressing these gaps. Twin pairs (N = 358; age 11–13 years) provided 3-day food intake diaries, which were assessed for intake of total energy, macronutrients, and micronutrients. Structural equation modeling revealed that genetic influences accounted for a significant portion of the total variance in total energy (48 %), macronutrients (35–45 %), minerals (45 %), and vitamins (21 %). Consistent with previous studies, the shared environment appeared to contribute little to nutritional intake. Findings on vitamin and mineral intake are novel and are particularly beneficial for further research on the contribution of micronutrients to individual physical health status. Better understanding of the linkage between genes, environment, and nutritional intake and deficiencies can clarify behavioral and physical outcomes, potentially informing risk reduction, primary prevention, and intervention strategies.

Keywords

Twin Genes Nutrient Diet Heritability Environment 

References

  1. Akaike H (1987) Factor-analysis and Aic. Psychometrika 52(3):317–332CrossRefGoogle Scholar
  2. Baker LA, Barton M, Lozano DI, Raine A, Fowler JH (2006) The Southern California Twin Register at the University of Southern California: II. Twin Res Hum Genet 9(6):933–940PubMedCrossRefGoogle Scholar
  3. Bell TB, Saffery R (2012) The value of twins in epigenetic epidemiology. Int J Epidemiol 41:140–150PubMedCrossRefGoogle Scholar
  4. Bell TB, Spector T (2011) A twin approach to unraveling epigenetics. Trends Genet 27(3):116–125PubMedCrossRefGoogle Scholar
  5. Block G (1982) A review of validations of dietary assessment methods. Am J Epidemiol 115(4):492–505PubMedGoogle Scholar
  6. Breen FM, Plomin R, Wardle J (2006) Heritability of food preferences in young children. Physiol Behav 88(4–5):443–447. doi:10.1016/j.physbeh.2006.04.016 PubMedCrossRefGoogle Scholar
  7. Cade J, Thompson R, Burley V, Warm D (2002) Development, validation and utilisation of food-frequency questionnaires: a review. Public Health Nutr 5(4):567–587. doi:10.1079/PHN2001318 PubMedCrossRefGoogle Scholar
  8. Contento IR, Williams SS, Michela JL, Franklin AB (2006) Understanding the food choice process of adolescents in the context of family and friends. J Adolesc Health 38(5):575–582PubMedCrossRefGoogle Scholar
  9. Crott JW, Mashiyama ST, Ames BN, Fenech M (2001) The effect of folic acid deficiency and MTHFR C677T polymorphism on chromosome damage in human lymphocytes in vitro. Cancer Epidemiol Biomarkers Prev 10(10):1089–1096PubMedGoogle Scholar
  10. de Castro JM (1993) Genetic influences on daily intake and meal patterns of humans. Physiol Behav 53(4):777–782PubMedCrossRefGoogle Scholar
  11. Deshmukh-Taskar PR, Nicklas TA, O’Neil CE, Keast DR, Radcliffe JD, Cho S (2010) The relationship of breakfast skipping and type of breakfast consumption with nutrient intake and weight status in children and adolescents: the National Health and Nutrition Examination Survey 1999–2006. J Am Diet Assoc 110(6):869–878PubMedCrossRefGoogle Scholar
  12. Dick DM, Li TK, Edenberg HJ, Hesselbrock V, Kramer J, Kuperman S, Porjesz B, Bucholz K, Goate A, Nurnberger J, Foroud T (2004) A genome-wide screen for genes influencing conduct disorder. Mol Psychiatr 9:81–86CrossRefGoogle Scholar
  13. Elliott R, Ong TJ (2002) Nutritional genomics. BMJ 324(7351):1438–1442PubMedCrossRefGoogle Scholar
  14. Fabsitz R, Garrison R, Feinleib M, Hjortland M (1978) A twin analysis of dietary intake: evidence for a need to control for possible environmental differences in MZ and DZ twins. Behav Genet 8(1):15–25PubMedCrossRefGoogle Scholar
  15. Faith MS, Rha SS, Neale MC, Allison DB (1999) Evidence for genetic influences on human energy intake: results from a twin study using measured observations. Behav Genet 29(3):145–154PubMedCrossRefGoogle Scholar
  16. Faith MS, Rhea SA, Corley RP, Hewitt JK (2008) Genetic and shared environmental influences on children’s 24-h food and beverage intake: sex differences at age 7 years. Am J Clin Nutr 87(4):903–911PubMedGoogle Scholar
  17. Farhud D, Yeganeh MZ (2010) Nutrigenomics and nutrigenetics. Iran J Public Health 39(4):1–14PubMedGoogle Scholar
  18. Fraga MF, Ballestar E, Paz MF, Ropero S, Setien F, Ballestar ML, Heine-Suñer D, Cigudosa JC, Urioste M, Benitez J, Boix-Chornet M, Sanchez-Aguilera A, Ling C, Carlsson E, Poulsen P, Vaag A, Stephan Z, Spector TD, Wu YZ, Plass C, Esteller M (2005) Epigenetic differences arise during the lifetime of monozygotic twins. Proc Natl Acad Sci U S A 102(30):10604–10609PubMedCrossRefGoogle Scholar
  19. Fyfe CL, Stewart J, Murison SD, Jackson DM, Rance K, Speakman JR, Horgan GW, Johnstone AM (2010) Evaluating energy intake measurement in free-living subjects: when to record and for how long? Public Health Nutr 13(2):172–180PubMedCrossRefGoogle Scholar
  20. Gibson S, Neate D (2007) Sugar intake, soft drink consumption and body weight among British children: further analysis of National Diet and Nutrition Survey data with adjustment for under-reporting and physical activity. Int J Food Sci Nutr 58(6):445–460PubMedCrossRefGoogle Scholar
  21. Guyton KZ, Kensler TW, Posner GH (2001) Cancer chemoprevention using natural vitamin D and synthetic analogs. Annu Rev Pharmacol Toxicol 41(1):421–442PubMedCrossRefGoogle Scholar
  22. Hasselbalch AL, Heitmann BL, Kyvik KO, Sørensen TIA (2008) Studies of twins indicate that genetics influence dietary intake. J Nutr 138(12):2406PubMedCrossRefGoogle Scholar
  23. Hayes CE (2000) Vitamin D: a natural inhibitor of multiple sclerosis. Proc Nutr Soc 59(04):531–535PubMedCrossRefGoogle Scholar
  24. Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK (1995) Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol 24(2):389–398PubMedCrossRefGoogle Scholar
  25. Heller RF, Oconnell DL, Roberts DCK, Allen JR, Knapp JC, Steele PL, Silove D (1988) Lifestyle factors in monozygotic and dizygotic twins. Genet Epidemiol 5(5):311–321PubMedCrossRefGoogle Scholar
  26. Hur YM, Bouchard TJ, Eckert E (1998) Genetic and environmental influences on self-reported diet: a reared-apart twin study. Physiol Behav 64(5):629–636PubMedCrossRefGoogle Scholar
  27. Kaminsky Z, Petronis A, Wang SC, Levine B, Ghaffar O, Floden D, Feinstein A (2008) Epigenetics of personality traits: an illustrative study of identical twins discordant for risk-taking behavior. Twin Res Human Genet 11:1–11CrossRefGoogle Scholar
  28. Keskitalo K, Silventoinen K, Tuorila H, Perola M, Pietilainen KH, Rissanen A, Kaprio J (2008) Genetic and environmental contributions to food use patterns of young adult twins. Physiol Behav 93(1–2):235–242. doi:10.1016/j.physbeh.2007.08.025 PubMedCrossRefGoogle Scholar
  29. Lichtenstein P, De Faire U, Floderus B, Svartengren M, Svedberg P, Pedersen NL (2002) The Swedish Twin Registry: unique resource for clinical, epidemiological and genetic studies. J Intern Med 252(3):1–22CrossRefGoogle Scholar
  30. Liu J, Raine A (2006) The effect of childhood malnutrition on externalizing behavior. Curr Opin Pediatr 18(5):565–570Google Scholar
  31. Liu J, Raine A, Venables P, Mednick SA (2003) Malnutrition at age 3 years and lower cognitive ability at age 11: a prospective longitudinal study. Arch Pediatr Adolesc Med 157(6):593–600Google Scholar
  32. Liu J, Raine A, Venables P, Mednick SA (2004) Malnutrition at age 3 years predisposes to externalizing behavior problems at ages 8, 11 and 17 years. Am J Psychiatry 161(11):2005–2013Google Scholar
  33. McAlindon TE, Felson DT, Zhang Y, Hannan MT, Aliabadi P, Weissman B, Rush D, Wilson PWF, Jacques P (1996) Relation of dietary intake and serum levels of vitamin D to progression of osteoarthritis of the knee among participants in the Framingham Study. Ann Intern Med 125(5):353–359PubMedGoogle Scholar
  34. McGue M, Bacon S, Lykken DT (1993) Personality stability and change in early adulthood: a behavioral genetic analyses. Dev Psychol 29:96–109Google Scholar
  35. Neale MC, Cardon LR, North Atlantic Treaty Organization. Scientific Affairs Division. (1992) Methodology for genetic studies of twins and families. NATO ASI Series D, Behavioural and social sciences, vol 67. Kluwer Academic Publishers, DordrechtGoogle Scholar
  36. Neale MC, Boker SM, Xie G, Maes H (2003) Mx: Statistical modeling. Department of Psychiatry, Medical College of Virginia, RichmondGoogle Scholar
  37. Petronis A, Gottesman II, Kan P, Kennedy JL, Basile VS, Paterson AD, Popendikyte V (2003) Monozygotic twins exhibit numerous epigenetic differences: clues to twin discordance? Schizophr Bull 29(1):169–178PubMedCrossRefGoogle Scholar
  38. Plomin R, DeFries JC, McClearn GE, McGuffin P (2001) Behavioral genetics. Worth Publisher, USAGoogle Scholar
  39. Qi L, Kraft P, Hunter DJ, Hu FB (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 17:3502–3508PubMedCrossRefGoogle Scholar
  40. Raftery AE (1995) Bayesian model selection in social research. Sociol Methodol 25:111–163CrossRefGoogle Scholar
  41. Rankinen T, Bouchard C (2006) Genetics of food intake and eating behavior phenotypes in humans. Annu Rev Nutr 26:413–434PubMedCrossRefGoogle Scholar
  42. Ryan-Harshman M, Aldoori W (2008) Vitamin B12 and health. Can Fam Physician 54(4):536–541PubMedGoogle Scholar
  43. Selhub J, Troen A, Rosenberg IH (2010) B vitamins and the aging brain. Nutr Rev 68(12):S112–S118. doi:10.1111/j.1753-4887.2010.00346.x PubMedCrossRefGoogle Scholar
  44. Sjöberg A, Hallberg L, Höglund D, Hulthén L (2003) Meal pattern, food choice, nutrient intake and lifestyle factors in The Göteborg Adolescence Study. Eur J Clin Nutr 57(12):1569–1578PubMedCrossRefGoogle Scholar
  45. Sutherland JE, Costa M (2003) Epigenetics and the environment. Ann NY Acad Sci 983:151–160PubMedCrossRefGoogle Scholar
  46. Timpson NJ, Emmett PM, Frayling TM, Rogers I, Hattersley AT, McCarthy MI, Davey Smith G (2008) The fat mass- and obesity-associated locus and dietary intake in children. Am J Clin Nutr 88(4):971–978PubMedGoogle Scholar
  47. Tremblay A, Sevigny J, Leblanc C, Bouchard C (1983) The reproducibility of a three-day dietary record. Nutr Res 3(6):819–830CrossRefGoogle Scholar
  48. van den Bree MBM, Eaves LJ, Dwyer JT (1999) Genetic and environmental influences on eating patterns of twins aged >=50 y. Am J Clin Nutr 70(4):456–465PubMedGoogle Scholar
  49. van Vliet-Ostaptchouk JV, Onland-Moret NC, Shiri-Sverdlov R, van Gorp PJJ, Custers A, Peeters PHM, Wijmenga C, Hofker MH, van der Schouw YT (2008) Polymorphisms of the TUB gene are associated with body composition and eating behavior in middle-aged women. PLoS ONE 3(1):e1405PubMedCrossRefGoogle Scholar
  50. Viding E, Hanscombe KB, Curtis CJ, Davis OS, Meaburn EL, Plomin R (2010) In search of genes associated with risk for psychopathic tendencies in children: a two-stage genome-wide association study of pooled DNA. J Child Psychol Psychiatry 51(7):780–788PubMedCrossRefGoogle Scholar
  51. Wade J, Milner J, Krondl M (1981) Evidence for a physiological regulation of food selection and nutrient intake in twins. Am J Clin Nutr 34(2):143–147PubMedGoogle Scholar

Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Jianghong Liu
    • 1
  • Catherine Tuvblad
    • 2
  • Adrian Raine
    • 3
  • Laura Baker
    • 2
  1. 1.Faculty, School of Nursing and School of MedicineUniversity of PennsylvaniaPhiladelphiaUSA
  2. 2.Department of PsychologyUniversity of Southern CaliforniaLos AngelesUSA
  3. 3.Departments of Criminology, Psychiatry, and PsychologyUniversity of PennsylvaniaPhiladelphiaUSA

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