Literature DB >> 19210177

Flexible Mx specification of various extended twin kinship designs.

Hermine H Maes1, Michael C Neale, Sarah E Medland, Matthew C Keller, Nicholas G Martin, Andrew C Heath, Lindon J Eaves.   

Abstract

The extended twin kinship design allows the simultaneous testing of additive and nonadditive genetic, shared and individual-specific environmental factors, as well as sex differences in the expression of genes and environment in the presence of assortative mating and combined genetic and cultural transmission (Eaves et al., 1999). It also handles the contribution of these sources of variance to the (co)variation of multiple phenotypes. Keller et al. (2008) extended this comprehensive model for family resemblance to allow or a flexible specification of assortment and vertical transmission. As such, it provides a general framework which can easily be reduced to fit subsets of data such as twin-parent data, children-of-twins data, etc. A flexible Mx specification of this model that allows handling of these various designs is presented in detail and applied to data from the Virginia 30,000. Data on height, body mass index, smoking status, church attendance, and political affiliation were obtained from twins and their families. Results indicate that biases in the estimation of variance components depend both on the types of relative available for analysis, and on the underlying genetic and environmental architecture of the phenotype of interest.

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Year:  2009        PMID: 19210177      PMCID: PMC3090211          DOI: 10.1375/twin.12.1.26

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  13 in total

1.  Further evidence against the environmental transmission of individual differences in neuroticism from a collaborative study of 45,850 twins and relatives on two continents.

Authors:  R I Lake; L J Eaves; H H Maes; A C Heath; N G Martin
Journal:  Behav Genet       Date:  2000-05       Impact factor: 2.805

2.  Quantifying and addressing parameter indeterminacy in the classical twin design.

Authors:  Matthew C Keller; William L Coventry
Journal:  Twin Res Hum Genet       Date:  2005-06       Impact factor: 1.587

3.  Modeling extended twin family data II: power associated with different family structures.

Authors:  Sarah E Medland; Matthew C Keller
Journal:  Twin Res Hum Genet       Date:  2009-02       Impact factor: 1.587

4.  The use of likelihood-based confidence intervals in genetic models.

Authors:  M C Neale; M B Miller
Journal:  Behav Genet       Date:  1997-03       Impact factor: 2.805

5.  A model system for analysis of family resemblance in extended kinships of twins.

Authors:  K R Truett; L J Eaves; E E Walters; A C Heath; J K Hewitt; J M Meyer; J Silberg; M C Neale; N G Martin; K S Kendler
Journal:  Behav Genet       Date:  1994-01       Impact factor: 2.805

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.  Multivariate path analysis of familial resemblance.

Authors:  G P Vogler
Journal:  Genet Epidemiol       Date:  1985       Impact factor: 2.135

8.  Resolving the effects of phenotype and social background on mate selection.

Authors:  A C Heath; L J Eaves
Journal:  Behav Genet       Date:  1985-01       Impact factor: 2.805

9.  Frequency of church attendance in Australia and the United States: models of family resemblance.

Authors:  K M Kirk; H H Maes; M C Neale; A C Heath; N G Martin; L J Eaves
Journal:  Twin Res       Date:  1999-06

Review 10.  Modeling extended twin family data I: description of the Cascade model.

Authors:  Matthew C Keller; Sarah E Medland; Laramie E Duncan; Peter K Hatemi; Michael C Neale; Hermine H M Maes; Lindon J Eaves
Journal:  Twin Res Hum Genet       Date:  2009-02       Impact factor: 1.587

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  8 in total

1.  Comparison of Twin and Extended Pedigree Designs for Obtaining Heritability Estimates.

Authors:  Anna R Docherty; William S Kremen; Matthew S Panizzon; Elizabeth C Prom-Wormley; Carol E Franz; Michael J Lyons; Lindon J Eaves; Michael C Neale
Journal:  Behav Genet       Date:  2015-04-18       Impact factor: 2.805

2.  Reconsidering the heritability of intelligence in adulthood: taking assortative mating and cultural transmission into account.

Authors:  Anna A E Vinkhuyzen; Sophie van der Sluis; Hermine H M Maes; Danielle Posthuma
Journal:  Behav Genet       Date:  2011-10-04       Impact factor: 2.805

3.  Genetic and environmental transmission of body mass index fluctuation.

Authors:  Jocilyn E Bergin; Michael C Neale; Lindon J Eaves; Nicholas G Martin; Andrew C Heath; Hermine H Maes
Journal:  Behav Genet       Date:  2012-09-26       Impact factor: 2.805

4.  Genetic and environmental influences on the transmission of parental depression to children's depression and conduct disturbance: an extended Children of Twins study.

Authors:  Judy L Silberg; Hermine Maes; Lindon J Eaves
Journal:  J Child Psychol Psychiatry       Date:  2010-02-16       Impact factor: 8.982

5.  Are extended twin family designs worth the trouble? A comparison of the bias, precision, and accuracy of parameters estimated in four twin family models.

Authors:  Matthew C Keller; Sarah E Medland; Laramie E Duncan
Journal:  Behav Genet       Date:  2009-12-16       Impact factor: 2.805

6.  Familial resemblance for loneliness.

Authors:  Marijn A Distel; Irene Rebollo-Mesa; Abdel Abdellaoui; Catherine A Derom; Gonneke Willemsen; John T Cacioppo; Dorret I Boomsma
Journal:  Behav Genet       Date:  2010-02-10       Impact factor: 2.805

7.  Heritability of metabolic syndrome traits in a large population-based sample.

Authors:  Jenny van Dongen; Gonneke Willemsen; Wei-Min Chen; Eco J C de Geus; Dorret I Boomsma
Journal:  J Lipid Res       Date:  2013-08-05       Impact factor: 5.922

8.  Statistical Inference of Biometrical Genetic Model With Cultural Transmission.

Authors:  Xiaobo Guo; Tian Ji; Xueqin Wang; Heping Zhang; Shouqiang Zhong
Journal:  Stat Interface       Date:  2013-01-01       Impact factor: 0.582

  8 in total

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