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Multivariate Analysis of Genetic and Environmental Influences for Longitudinal Height and Weight Data

Published online by Cambridge University Press:  01 August 2014

S. Fischbein  and
N.L. Pedersen
S. Fischbein*
Affiliation:
Department of Educational Research, Stockholm Institute of Education, Stockholm, Sweden
N.L. Pedersen
Affiliation:
Department of Environmental Hygiene, The Karolinska Institute, Stockholm, Sweden College of Human Development, Pennsylvania State University, University Park, USA
*
Department of Educational Research, Stockholm Institute of Education, Box 34103, S-100 26 Stockholm, Sweden

Abstract

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A multivariate analysis of genetic and environmental influences on longitudinal height and weight data from a Swedish twin sample is presented. For height in boys, genetic correlations of all ages with the first time point decrease during puberty and increase afterwards. A more linear pattern is evident for the girls. For weight in boys, genetic and environmental correlations are similar to the ones for height. Genetic correlations for girls are stable with age, while environmental correlations peak at 13.5 years and decrease drastically thereafter. The patterns for height and weight in boys suggest that a new set of genes may be turned on during puberty and turned off again afterwards. The pattern found for weight in girls indicates that a simple additive genetic model is not appropriate. It is necessary, however, to apply the model to actual data from several time points to recognize the inadequacy of the model.

Keywords

HeightWeightHeritabilityLongitudinal studyMultivariate analysis
Type
Research Article
Information
Acta geneticae medicae et gemellologiae: twin research , Volume 36 , Issue 2 , April 1987 , pp. 171 - 180
Copyright
Copyright © The International Society for Twin Studies 1987

References

REFERENCES

1.Cederlof, R, Friberg, L, Jonsson, E, Kaij, L (1961): Studies on similarity diagnosis in twins with the aid of mailed questionnaires. Acta Genet 11:338–362.Google Scholar
2.DeFries, JC, Kuse, AR, Vandenberg, SG (1979): Genetic correlations, environmental correlations, and behavior. In Royce, JR, Mos, LP (eds.): Theoretical Advances in Behavior Genetics. Alphen aan den Rijn: Sijthoff & Noordhoff.Google Scholar
3.DeFries, JC, Fulker, DW (1986): Multivariate behavioral genetics and development: An overview. Behav Genet 16:1–10.CrossRefGoogle ScholarPubMed
4.Eaves, LJ (1983): Modelling the genetics of behavioral change. Paper presented at 4th International Congress on Twin studies, London.Google Scholar
5.Eaves, LJ, Last, KA, Young, PA, Martin, NG (1978): Model-fitting approaches to the analysis of human behavior. Heredity 41:249–320.CrossRefGoogle Scholar
6.Essen-Möller, E (1941): Empirische Ahnlichkeitsdiagnose bei Zwillingen. Hereditas 27:1–50.Google Scholar
7.Fischbein, S (1977): Onset of puberty in MZ and DZ twins. Acta Genet Med Gemellol 26:151–158.CrossRefGoogle Scholar
8.Fischbein, S (1979): Heredity-Environment Influences on Growth and Development During Adolescence. Lund: Liber.Google Scholar
9.Fischbein, S (1981): Heredity-environment influences on growth and development during adolescence. In Gedda, L, Parisi, P, Nance, WE (eds.): Twin Research 3, Part B. New York: Alan R. Liss.Google Scholar
10.Henderson, ND (1982): Human behavior genetics. Ann Rev Psychol 33:403–410.CrossRefGoogle ScholarPubMed
11.Husén, T (1959): Psychological Twin Research. Stockholm: Almqvist & Wiksell.Google Scholar
12.Jöreskog, KG, Sörbom, D (1983): LISREL: Analysis of Linear Structural Relationships by the Method of Maximum Likelihood, Version VI. Chicago: International Educational Services.Google Scholar
13.Lindgren, G (1979): Physical and Mental Development in Swedish Urban Schoolchildren. Lund: Liber.Google Scholar
14.Ljung, BO, Fischbein, S, Lindgren, G (1977): A comparison of growth in twins and singleton controls of matched age followed longitudinally from 10 to 18 years. Ann Hum Biol 4:405–415.Google Scholar
15.Lykken, DT (1982): Research with twins: the concept of emergenesis. Psychophysiol 19:361–373.CrossRefGoogle ScholarPubMed
16.Medlund, P, Cederlöf, R, Floderus-Myrhed, B, Friberg, L, Sörensen, S (1977): A new Swedish twin registry. Acta Med Scand Suppl 600.Google Scholar
17.Official Statistics of Sweden (1958): Befolkningsrörelsen, Ar 1955 (Vital statistics 1955). Stockholm: Central Bureau of Statistics.Google Scholar
18.Plomin, R (1986): Multivariate analysis and developmental behavioral genetics; Developmental change as well as continuity. Behav Genet 16:25–43.CrossRefGoogle ScholarPubMed
19.Plomin, R, DeFries, JC (1979): Multivariate behavioral genetic analysis of twin data on scholastic abilities. Behav Genet 9:505–517.CrossRefGoogle ScholarPubMed
20.Plomin, R, DeFries, JC (1981): Multivariate behavioral genetics and development: Twin studies. In Gedda, L, Parisi, P, Nance, WE (eds.), Twin Research 3, Part B. New York: Alan R Liss.Google Scholar
21.Scarr, S, McCartney, K (1983): How people make their own environments: A theory of genotype-environment effects. Child Dev 54:424–435.Google Scholar
22.Snedecor, GW, Cochran, WG (1967): Statistical Methods. Amens, Iowa: Iowa State University Press.Google Scholar
23.Wilson, RS (1979): Analysis of longitudinal twin data: basic model and applications to physical growth measures. Acta Genet Med Gemellol 28:93–105.Google Scholar