Literature DB >> 2184094

Using factor scores to detect G X E interactive origin of "pure" genetic or environmental factors obtained in genetic covariance structure analysis.

P C Molenaar1, D I Boomsma, D Neeleman, C V Dolan.   

Abstract

Moment expressions for individual factor scores can serve as simple tests for the presence of a particular class of interaction factors that are disguised as pure genetic and/or environmental factors. That is, individual genetic and environmental factor scores may be used to construct fourth-order moments of these factors in order to test whether a common genetic or environmental factor in the multivariate genetic factor model is in fact of the interactive origin concerned. Expected fourth-order moments are derived for cases with and without interaction. Application of fourth-order moments of factor scores to detect interactive origin of common factors is illustrated with simulated twin data.

Mesh:

Year:  1990        PMID: 2184094     DOI: 10.1002/gepi.1370070116

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  4 in total

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

Authors:  C V Dolan; P C Molenaar; D I Boomsma
Journal:  Behav Genet       Date:  1994-01       Impact factor: 2.805

Review 2.  Genetics of the human electroencephalogram (EEG) and event-related brain potentials (ERPs): a review.

Authors:  C E van Beijsterveldt; D I Boomsma
Journal:  Hum Genet       Date:  1994-10       Impact factor: 4.132

3.  Evidence for Gender-Dependent Genotype by Environment Interaction in Adult Depression.

Authors:  Dylan Molenaar; Christel M Middeldorp; Gonneke Willemsen; Lannie Ligthart; Michel G Nivard; Dorret I Boomsma
Journal:  Behav Genet       Date:  2015-10-14       Impact factor: 2.805

4.  Gene-Environment Interplay in Twin Models.

Authors:  Brad Verhulst; Peter K Hatemi
Journal:  Polit Anal       Date:  2013-07
  4 in total

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