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Literature DB >> 2018463

Simultaneous genetic analysis of longitudinal means and covariance structure in the simplex model using twin data.

Abstract

A longitudinal model based on the simplex model is presented to analyze simultaneously means and covariance structure using univariate longitudinal twin data. The objective of the model is to decompose the mean trend into components which can be attributed to those genetic and environmental factors which give rise to phenotypic individual differences and a component of unknown constitution which does not involve individual differences. Illustrations are given using simulated data and repeatedly measured weight obtained in a sample of 82 female twin pairs on six occasions.

Mesh：

Year: 1991 PMID： 2018463 DOI： 10.1007/bf01067666

Source DB: PubMed Journal: Behav Genet ISSN： 0001-8244 Impact factor: 2.805

6 in total

6. GE covariance through phenotype to environment transmission: an assessment in longitudinal twin data and application to childhood anxiety.

Authors: Conor V Dolan; Johanna M de Kort; Toos C E M van Beijsterveldt; Meike Bartels; Dorret I Boomsma
Journal: Behav Genet Date: 2014-05-01 Impact factor: 2.805

6 in total

Simultaneous genetic analysis of longitudinal means and covariance structure in the simplex model using twin data.

1. LISREL analysis of twin data with structured means.

2. The genetical analysis of covariance structure.

3. The genetic analysis of repeated measures. I. Simplex models.

4. Latent variable growth within behavior genetic models.

5. A theory of developmental change in quantitative phenotypes applied to cognitive development.

6. Intra-pair similarity in physical growth of monozygotic and of dizygotic twins during puberty.

1. Racial differences in birth health risk: a quantitative genetic approach.

2. Decomposition of multivariate phenotypic means in multigroup genetic covariance structure analysis.

3. Notes on Three Decades of Methodology Workshops.

4. Simultaneous genetic analysis of means and covariance structure: Pearson-Lawley selection rules.

5. Decomposing group differences of latent means of ordered categorical variables within a genetic factor model.

6. GE covariance through phenotype to environment transmission: an assessment in longitudinal twin data and application to childhood anxiety.