How nonshared environmental factors come to correlate with heredity / Christopher R. BEAM in Development and Psychopathology, 34-1 (February 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-1 (February 2022) . - p.321-333 Titre : How nonshared environmental factors come to correlate with heredity Type de document : Texte imprimé et/ou numérique Auteurs : Christopher R. BEAM, Auteur ; Patrizia PEZZOLI, Auteur ; Jane MENDLE, Auteur ; S. Alexandra BURT, Auteur ; Michael C. NEALE, Auteur ; Steven M. BOKER, Auteur ; Pamela K. KEEL, Auteur ; Kelly L. KLUMP, Auteur Article en page(s) : p.321-333 Langues : Anglais (eng) Mots-clés : affect  developmental behavioral genetics  gene?environment interplay  longitudinal modeling  mood Index. décimale : PER Périodiques Résumé : Conventional longitudinal behavioral genetic models estimate the relative contribution of genetic and environmental factors to stability and change of traits and behaviors. Longitudinal models rarely explain the processes that generate observed differences between genetically and socially related individuals. We propose that exchanges between individuals and their environments (i.e., phenotype?environment effects) can explain the emergence of observed differences over time. Phenotype?environment models, however, would require violation of the independence assumption of standard behavioral genetic models; that is, uncorrelated genetic and environmental factors. We review how specification of phenotype?environment effects contributes to understanding observed changes in genetic variability over time and longitudinal correlations among nonshared environmental factors. We then provide an example using 30 days of positive and negative affect scores from an all-female sample of twins. Results demonstrate that the phenotype?environment effects explain how heritability estimates fluctuate as well as how nonshared environmental factors persist over time. We discuss possible mechanisms underlying change in gene?environment correlation over time, the advantages and challenges of including gene?environment correlation in longitudinal twin models, and recommendations for future research. En ligne : http://dx.doi.org/10.1017/s0954579420001017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474 [article] How nonshared environmental factors come to correlate with heredity [Texte imprimé et/ou numérique] / Christopher R. BEAM, Auteur ; Patrizia PEZZOLI, Auteur ; Jane MENDLE, Auteur ; S. Alexandra BURT, Auteur ; Michael C. NEALE, Auteur ; Steven M. BOKER, Auteur ; Pamela K. KEEL, Auteur ; Kelly L. KLUMP, Auteur . - p.321-333. Langues : Anglais (eng) in Development and Psychopathology > 34-1 (February 2022) . - p.321-333 Mots-clés : affect  developmental behavioral genetics  gene?environment interplay  longitudinal modeling  mood Index. décimale : PER Périodiques Résumé : Conventional longitudinal behavioral genetic models estimate the relative contribution of genetic and environmental factors to stability and change of traits and behaviors. Longitudinal models rarely explain the processes that generate observed differences between genetically and socially related individuals. We propose that exchanges between individuals and their environments (i.e., phenotype?environment effects) can explain the emergence of observed differences over time. Phenotype?environment models, however, would require violation of the independence assumption of standard behavioral genetic models; that is, uncorrelated genetic and environmental factors. We review how specification of phenotype?environment effects contributes to understanding observed changes in genetic variability over time and longitudinal correlations among nonshared environmental factors. We then provide an example using 30 days of positive and negative affect scores from an all-female sample of twins. Results demonstrate that the phenotype?environment effects explain how heritability estimates fluctuate as well as how nonshared environmental factors persist over time. We discuss possible mechanisms underlying change in gene?environment correlation over time, the advantages and challenges of including gene?environment correlation in longitudinal twin models, and recommendations for future research. En ligne : http://dx.doi.org/10.1017/s0954579420001017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474

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