Literature DB >> 7614237

A cross-sectional examination of height, weight, and body mass index in adult twins.

C M Carmichael1, M McGue.   

Abstract

A cross-sectional twin design was used to study the developmental nature of genetic and environmental influences on height, weight, and body mass index. The sample of same-sex adult male and female twins consisted of 586 monozygotic and 447 like-sex dizygotic twin pairs aged 18 to 81 years. Means and variances suggested normative age differences for all three physical variables. Biometrical model-fitting with maximum likelihood methods of parameter estimation indicated that the general best-fitting model across the age groups for height, weight, and body mass index was one in which the genetic effects were additive and the environmental effects were from nonshared, idiosyncratic experiences. The best-fitting cross-sectional biometrical model for height, weight, and body mass index indicated that additive genetic variance remained stable while nonshared environmental variance increased with age. This increase in environmental variance but stable genetic variance resulted in decreasing heritability with age for height (heritability ranging from 0.89 in the youngest group to 0.87 in the oldest), weight (heritability ranging from 0.86 in the youngest group to 0.70 in the oldest), and body mass index (heritability ranging from 0.82 in the youngest group to 0.63 in the oldest).

Mesh:

Year:  1995        PMID: 7614237     DOI: 10.1093/gerona/50a.4.b237

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  32 in total

1.  Genomewide linkage analysis of stature in multiple populations reveals several regions with evidence of linkage to adult height.

Authors:  J N Hirschhorn; C M Lindgren; M J Daly; A Kirby; S F Schaffner; N P Burtt; D Altshuler; A Parker; J D Rioux; J Platko; D Gaudet; T J Hudson; L C Groop; E S Lander
Journal:  Am J Hum Genet       Date:  2001-06-15       Impact factor: 11.025

2.  Major recessive gene(s) with considerable residual polygenic effect regulating adult height: confirmation of genomewide scan results for chromosomes 6, 9, and 12.

Authors:  Jianfeng Xu; Eugene R Bleecker; Hajo Jongepier; Timothy D Howard; Gerard H Koppelman; Dirkje S Postma; Deborah A Meyers
Journal:  Am J Hum Genet       Date:  2002-07-15       Impact factor: 11.025

3.  A major gene model of adult height is suggested in Chinese.

Authors:  Miao-Xin Li; Peng-Yuan Liu; Yu-Mei Li; Yue-Juan Qin; Yao-Zhong Liu; Hong-Wen Deng
Journal:  J Hum Genet       Date:  2004-02-27       Impact factor: 3.172

Review 4.  Heritability of body mass index in pre-adolescence, young adulthood and late adulthood.

Authors:  Cassandra Nan; Boliang Guo; Claire Warner; Tom Fowler; Timothy Barrett; Dorret Boomsma; Tracy Nelson; Keith Whitfield; Gaston Beunen; Martine Thomis; Hermine Hendrik Maes; Catherine Derom; Juan Ordoñana; Jonathan Deeks; Maurice Zeegers
Journal:  Eur J Epidemiol       Date:  2012-03-18       Impact factor: 8.082

5.  A male-specific quantitative trait locus on 1p21 controlling human stature.

Authors:  S Sammalisto; T Hiekkalinna; E Suviolahti; K Sood; A Metzidis; P Pajukanta; H E Lilja; A Soro-Paavonen; M-R Taskinen; T Tuomi; P Almgren; M Orho-Melander; L Groop; L Peltonen; M Perola
Journal:  J Med Genet       Date:  2005-04-12       Impact factor: 6.318

6.  Common DNA variants predict tall stature in Europeans.

Authors:  Fan Liu; A Emile J Hendriks; Arwin Ralf; Annemieke M Boot; Emelie Benyi; Lars Sävendahl; Ben A Oostra; Cornelia van Duijn; Albert Hofman; Fernando Rivadeneira; André G Uitterlinden; Stenvert L S Drop; Manfred Kayser
Journal:  Hum Genet       Date:  2013-11-20       Impact factor: 4.132

7.  The intergenerational correlation in weight: how genetic resemblance reveals the social role of families.

Authors:  Molly A Martin
Journal:  AJS       Date:  2008

8.  Vitamin D receptor gene polymorphisms are linked to and associated with adult height.

Authors:  D-H Xiong; F-H Xu; P-Y Liu; H Shen; J-R Long; L Elze; R R Recker; H-W Deng
Journal:  J Med Genet       Date:  2005-03       Impact factor: 6.318

9.  Modeling genetic and environmental factors to increase heritability and ease the identification of candidate genes for birth weight: a twin study.

Authors:  M Gielen; P J Lindsey; C Derom; H J M Smeets; N Y Souren; A D C Paulussen; R Derom; J G Nijhuis
Journal:  Behav Genet       Date:  2007-12-22       Impact factor: 2.805

10.  How humans differ from other animals in their levels of morphological variation.

Authors:  Ann E McKellar; Andrew P Hendry
Journal:  PLoS One       Date:  2009-09-01       Impact factor: 3.240

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