Literature DB >> 2239101

Quantitative genetic analysis of longitudinal trends in height: preliminary results from the Louisville Twin Study.

K Phillips1, A P Matheny.   

Abstract

A preliminary series of quantitative genetic models was applied to a subset of longitudinal height data, spanning birth to maturity, gathered from twin families in the Louisville Twin Study. Descriptive Cholesky factor parameterization was found to give more satisfactory results than did a system of constraints based on a model of developmental transmission of a time-constant and time-specific factors. The results from application of two autosomal sex-limitation models are contrasted with those from a model specifying both autosomal and sex-chromosomal patterns of inheritance. The latter model was more conducive to parameter reduction. Although these models do not constitute conclusive tests of autosomal sex-limitation versus sex-linkage, the more parsimonious model is consistent with previous research suggesting a stature locus on the long arm of the Y chromosome. Heritability of height is estimated at about 90% or greater from 6 years of age on. Substantial and fairly constant longitudinal genetic correlations are found from 3 years of age on. Shared environmental effects unrelated to parental height were seen for birth length, corrected for gestational age, to height at 3 years of age, but these are not satisfactorily differentiated from possible twin effects in the present sample. The genetic consequences of assortative mating are emphasized since failure to take assortment into account can lead to overestimation of shared environmental effects and under-estimation of genetic effects. The results indicate that about 20% of within-gender variability for mature height can be attributed to the genetic consequences of assortment, even though the phenotypic marital correlation of 0.22 is quite modest. The importance of testing the assumption of multivariate normality underlying the application of the method of maximum-likelihood is also highlighted.

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Year:  1990        PMID: 2239101     DOI: 10.1017/s0001566000005389

Source DB:  PubMed          Journal:  Acta Genet Med Gemellol (Roma)        ISSN: 0001-5660


  14 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

4.  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

5.  Association analyses of CYP19 gene polymorphisms with height variation in a large sample of Caucasian nuclear families.

Authors:  Tie-Lin Yang; Dong-Hai Xiong; Yan Guo; Robert R Recker; Hong-Wen Deng
Journal:  Hum Genet       Date:  2006-05-30       Impact factor: 4.132

6.  Multivariate genetic analysis of twin-family data on fears: Mx models.

Authors:  M C Neale; E E Walters; L J Eaves; H H Maes; K S Kendler
Journal:  Behav Genet       Date:  1994-03       Impact factor: 2.805

7.  Genetic linkage of human height is confirmed to 9q22 and Xq24.

Authors:  Yao-Zhong Liu; Peng Xiao; Yan-fang Guo; Dong-Hai Xiong; Lan-Juan Zhao; Hui Shen; Yong-Jun Liu; Volodymyr Dvornyk; Ji-Rong Long; Hong-Yi Deng; Jin-Long Li; Robert R Recker; Hong-Wen Deng
Journal:  Hum Genet       Date:  2006-01-31       Impact factor: 4.132

8.  Genome-wide association scan for stature in Chinese: evidence for ethnic specific loci.

Authors:  Shu-Feng Lei; Tie-Lin Yang; Li-Jun Tan; Xiang-Ding Chen; Yan Guo; Yan-Fang Guo; Liang Zhang; Xiao-Gang Liu; Han Yan; Feng Pan; Zhi-Xin Zhang; Yu-Mei Peng; Qi Zhou; Li-Na He; Xue-Zhen Zhu; Jing Cheng; Yao-Zhong Liu; Christopher J Papasian; Hong-Wen Deng
Journal:  Hum Genet       Date:  2008-11-23       Impact factor: 4.132

9.  Genome-wide association study identifies two novel loci containing FLNB and SBF2 genes underlying stature variation.

Authors:  Shu-Feng Lei; Li-Jun Tan; Xiao-Gang Liu; Liang Wang; Han Yan; Yan-Fang Guo; Yao-Zhong Liu; Dong-Hai Xiong; Jian Li; Tie-Lin Yang; Xiang-Ding Chen; Yan Guo; Fei-Yan Deng; Yin-Ping Zhang; Xue-Zhen Zhu; Shawn Levy; Christopher J Papasian; James J Hamilton; Robert R Recker; Hong-Wen Deng
Journal:  Hum Mol Genet       Date:  2008-11-27       Impact factor: 6.150

10.  Timing and genetic rapport between growth in skeletal maturity and height around puberty: similarities and differences between girls and boys.

Authors:  D Z Loesch; J L Hopper; E Rogucka; R M Huggins
Journal:  Am J Hum Genet       Date:  1995-03       Impact factor: 11.025

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