[article]
| Titre : |
Meta-analysis of gene–environment interactions in developmental psychopathology |
| Type de document : |
Texte imprimé et/ou numérique |
| Auteurs : |
Alan TAYLOR, Auteur ; Julia KIM-COHEN, Auteur |
| Année de publication : |
2007 |
| Article en page(s) : |
p.1029-1037 |
| Langues : |
Anglais (eng) |
| Index. décimale : |
PER Périodiques |
| Résumé : |
As studies of measured gene–environment interactions (G × E) in developmental psychopathology gain momentum, methods for systematically and quantitatively summarizing effects across multiple studies are urgently needed. Meta-analyses of G × E findings are critical for evaluating the overall statistical and theoretical significance of any given G × E based on cumulative and systematically combined knowledge. Although meta-analytic methods for the combination of study findings based on single effect measures such as odds ratios and mean differences are well established, equivalent methods for the meta-analysis of studies investigating interactions are not well developed. This article describes one simple approach to the meta-analysis of G × E effects using, as a contemporaneous example, the interaction of the monoamine oxidase A (MAOA) gene and the impact of childhood maltreatment on risk for developing antisocial behavior. |
| En ligne : |
http://dx.doi.org/10.1017/s095457940700051x |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=181 |
in Development and Psychopathology > 19-4 (Fall 2007) . - p.1029-1037
[article] Meta-analysis of gene–environment interactions in developmental psychopathology [Texte imprimé et/ou numérique] / Alan TAYLOR, Auteur ; Julia KIM-COHEN, Auteur . - 2007 . - p.1029-1037. Langues : Anglais ( eng) in Development and Psychopathology > 19-4 (Fall 2007) . - p.1029-1037
| Index. décimale : |
PER Périodiques |
| Résumé : |
As studies of measured gene–environment interactions (G × E) in developmental psychopathology gain momentum, methods for systematically and quantitatively summarizing effects across multiple studies are urgently needed. Meta-analyses of G × E findings are critical for evaluating the overall statistical and theoretical significance of any given G × E based on cumulative and systematically combined knowledge. Although meta-analytic methods for the combination of study findings based on single effect measures such as odds ratios and mean differences are well established, equivalent methods for the meta-analysis of studies investigating interactions are not well developed. This article describes one simple approach to the meta-analysis of G × E effects using, as a contemporaneous example, the interaction of the monoamine oxidase A (MAOA) gene and the impact of childhood maltreatment on risk for developing antisocial behavior. |
| En ligne : |
http://dx.doi.org/10.1017/s095457940700051x |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=181 |
|
Meta-analysis of gene–environment interactions in developmental psychopathology in Development and Psychopathology, 19-4 (Fall 2007)
