[article] 
inDevelopment and Psychopathology > 32-1 (February 2020) . - p.73-83

Titre :	Distinguishing differential susceptibility, diathesis-stress, and vantage sensitivity: Beyond the single gene and environment model
Type de document :	Texte imprimé et/ou numérique
Auteurs :	Alexia JOLICOEUR-MARTINEAU, Auteur ; Jay BELSKY, Auteur ; Eszter SZEKELY, Auteur ; Keith F. WIDAMAN, Auteur ; Michael PLUESS, Auteur ; Celia M. T. GREENWOOD, Auteur ; Ashley WAZANA, Auteur
Article en page(s) :	p.73-83
Langues :	Anglais (eng)
Mots-clés :	diathesis-stress  differential-susceptibility  gene-by-environment interaction  regions of significance  vantage sensitivity
Index. décimale :	PER Périodiques
Résumé :	Currently, two main approaches exist to distinguish differential susceptibility from diathesis-stress and vantage sensitivity in Genotype x Environment interaction (G x E) research: regions of significance (RoS) and competitive-confirmatory approaches. Each is limited by its single-gene/single-environment foci given that most phenotypes are the product of multiple interacting genetic and environmental factors. We thus addressed these two concerns in a recently developed R package (LEGIT) for constructing G x E interaction models with latent genetic and environmental scores using alternating optimization. Herein we test, by means of computer simulation, diverse G x E models in the context of both single and multiple genes and environments. Results indicate that the RoS and competitive-confirmatory approaches were highly accurate when the sample size was large, whereas the latter performed better in small samples and for small effect sizes. The competitive-confirmatory approach generally had good accuracy (a) when effect size was moderate and N >/= 500 and (b) when effect size was large and N >/= 250, whereas RoS performed poorly. Computational tools to determine the type of G x E of multiple genes and environments are provided as extensions in our LEGIT R package.
En ligne :	http://dx.doi.org/10.1017/s0954579418001438
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=415

[article] Distinguishing differential susceptibility, diathesis-stress, and vantage sensitivity: Beyond the single gene and environment model [Texte imprimé et/ou numérique] / Alexia JOLICOEUR-MARTINEAU, Auteur ; Jay BELSKY, Auteur ; Eszter SZEKELY, Auteur ; Keith F. WIDAMAN, Auteur ; Michael PLUESS, Auteur ; Celia M. T. GREENWOOD, Auteur ; Ashley WAZANA, Auteur . - p.73-83.
Langues : Anglais (eng)
in Development and Psychopathology > 32-1 (February 2020) . - p.73-83

Mots-clés :	diathesis-stress  differential-susceptibility  gene-by-environment interaction  regions of significance  vantage sensitivity
Index. décimale :	PER Périodiques
Résumé :	Currently, two main approaches exist to distinguish differential susceptibility from diathesis-stress and vantage sensitivity in Genotype x Environment interaction (G x E) research: regions of significance (RoS) and competitive-confirmatory approaches. Each is limited by its single-gene/single-environment foci given that most phenotypes are the product of multiple interacting genetic and environmental factors. We thus addressed these two concerns in a recently developed R package (LEGIT) for constructing G x E interaction models with latent genetic and environmental scores using alternating optimization. Herein we test, by means of computer simulation, diverse G x E models in the context of both single and multiple genes and environments. Results indicate that the RoS and competitive-confirmatory approaches were highly accurate when the sample size was large, whereas the latter performed better in small samples and for small effect sizes. The competitive-confirmatory approach generally had good accuracy (a) when effect size was moderate and N >/= 500 and (b) when effect size was large and N >/= 250, whereas RoS performed poorly. Computational tools to determine the type of G x E of multiple genes and environments are provided as extensions in our LEGIT R package.
En ligne :	http://dx.doi.org/10.1017/s0954579418001438
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=415