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Auteur Sintia I. BELANGERO |
Documents disponibles écrits par cet auteur (2)
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Disentangling the influences of parental genetics on offspring's cognition, education, and psychopathology via genetic and phenotypic pathways / Luiza K. AXELRUD in Journal of Child Psychology and Psychiatry, 64-3 (March 2023)
[article]
Titre : Disentangling the influences of parental genetics on offspring's cognition, education, and psychopathology via genetic and phenotypic pathways Type de document : Texte imprimé et/ou numérique Auteurs : Luiza K. AXELRUD, Auteur ; Mauricio S. HOFFMANN, Auteur ; Daniel E. VOSBERG, Auteur ; Marcos SANTORO, Auteur ; Pedro M. PAN, Auteur ; Ary GADELHA, Auteur ; Sintia I. BELANGERO, Auteur ; Euripedes C. MIGUEL, Auteur ; Jean SHIN, Auteur ; Anita THAPAR, Auteur ; Jordan W. SMOLLER, Auteur ; Zdenka PAUSOVA, Auteur ; Luis A. ROHDE, Auteur ; Matthew C. KELLER, Auteur ; Tomas PAUS, Auteur ; Giovanni A. SALUM, Auteur Article en page(s) : p.408-416 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Specific pathways of intergenerational transmission of behavioral traits remain unclear. Here, we aim to investigate how parental genetics influence offspring cognition, educational attainment, and psychopathology in youth. Methods Participants for the discovery sample were 2,189 offspring (aged 6-14 years), 1898 mothers and 1,017 fathers who underwent genotyping, psychiatric, and cognitive assessments. We calculated polygenic scores (PGS) for cognition, educational attainment, attention-deficit hyperactivity disorder (ADHD), and schizophrenia for the trios. Phenotypes studied included educational and cognitive measures, ADHD and psychotic symptoms. We used a stepwise approach and multiple mediation models to analyze the effect of parental PGS on offspring traits via offspring PGS and parental phenotype. Significant results were replicated in a sample of 1,029 adolescents, 363 mothers, and 307 fathers. Results Maternal and paternal PGS for cognition influenced offspring general intelligence and executive function via offspring PGS (genetic pathway) and parental education (phenotypic pathway). Similar results were found for parental PGS for educational attainment and offspring reading and writing skills. These pathways fully explained associations between parental PGS and offspring phenotypes, without residual direct association. Associations with maternal, but not paternal, PGS were replicated. No associations were found between parental PGS for psychopathology and offspring specific symptoms. Conclusions Our findings indicate that parental genetics influences offspring cognition and educational attainment by genetic and phenotypic pathways, suggesting the expression of parental phenotypes partially explain the association between parental genetic risk and offspring outcomes. Multiple mediations might represent an effective approach to disentangle distinct pathways for intergenerational transmission of behavioral traits. En ligne : https://doi.org/10.1111/jcpp.13708 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=493
in Journal of Child Psychology and Psychiatry > 64-3 (March 2023) . - p.408-416[article] Disentangling the influences of parental genetics on offspring's cognition, education, and psychopathology via genetic and phenotypic pathways [Texte imprimé et/ou numérique] / Luiza K. AXELRUD, Auteur ; Mauricio S. HOFFMANN, Auteur ; Daniel E. VOSBERG, Auteur ; Marcos SANTORO, Auteur ; Pedro M. PAN, Auteur ; Ary GADELHA, Auteur ; Sintia I. BELANGERO, Auteur ; Euripedes C. MIGUEL, Auteur ; Jean SHIN, Auteur ; Anita THAPAR, Auteur ; Jordan W. SMOLLER, Auteur ; Zdenka PAUSOVA, Auteur ; Luis A. ROHDE, Auteur ; Matthew C. KELLER, Auteur ; Tomas PAUS, Auteur ; Giovanni A. SALUM, Auteur . - p.408-416.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 64-3 (March 2023) . - p.408-416
Index. décimale : PER Périodiques Résumé : Background Specific pathways of intergenerational transmission of behavioral traits remain unclear. Here, we aim to investigate how parental genetics influence offspring cognition, educational attainment, and psychopathology in youth. Methods Participants for the discovery sample were 2,189 offspring (aged 6-14 years), 1898 mothers and 1,017 fathers who underwent genotyping, psychiatric, and cognitive assessments. We calculated polygenic scores (PGS) for cognition, educational attainment, attention-deficit hyperactivity disorder (ADHD), and schizophrenia for the trios. Phenotypes studied included educational and cognitive measures, ADHD and psychotic symptoms. We used a stepwise approach and multiple mediation models to analyze the effect of parental PGS on offspring traits via offspring PGS and parental phenotype. Significant results were replicated in a sample of 1,029 adolescents, 363 mothers, and 307 fathers. Results Maternal and paternal PGS for cognition influenced offspring general intelligence and executive function via offspring PGS (genetic pathway) and parental education (phenotypic pathway). Similar results were found for parental PGS for educational attainment and offspring reading and writing skills. These pathways fully explained associations between parental PGS and offspring phenotypes, without residual direct association. Associations with maternal, but not paternal, PGS were replicated. No associations were found between parental PGS for psychopathology and offspring specific symptoms. Conclusions Our findings indicate that parental genetics influences offspring cognition and educational attainment by genetic and phenotypic pathways, suggesting the expression of parental phenotypes partially explain the association between parental genetic risk and offspring outcomes. Multiple mediations might represent an effective approach to disentangle distinct pathways for intergenerational transmission of behavioral traits. En ligne : https://doi.org/10.1111/jcpp.13708 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=493 Replication of a predictive model for youth ADHD in an independent sample from a developing country / Cezar H. LORENZI in Journal of Child Psychology and Psychiatry, 64-1 (January 2023)
[article]
Titre : Replication of a predictive model for youth ADHD in an independent sample from a developing country Type de document : Texte imprimé et/ou numérique Auteurs : Cezar H. LORENZI, Auteur ; Douglas TEIXEIRA LEFFA, Auteur ; Rodrigo BRESSAN, Auteur ; Sintia I. BELANGERO, Auteur ; Ary GADELHA, Auteur ; Marcos L. SANTORO, Auteur ; Giovanni A. SALUM, Auteur ; Luis Augusto ROHDE, Auteur ; Arthur CAYE, Auteur Article en page(s) : p.167-174 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Very few predictive models in Psychiatry had their performance validated in independent external samples. A previously developed multivariable demographic model for attention-deficit/hyperactivity disorder (ADHD) accurately predicted young adulthood ADHD using clinical and demographical information collected in childhood in three samples from developed countries, but failed to replicate its performance in a sample from a developing country. Furthermore, consolidated risk factors for ADHD were not included among its predictors. Methods Participants were 1905 children and adolescents from a community-based sample and followed from ages 6 to 14 years at baseline to ages 14 to 23 years (mean age 18) at follow-up. We applied the intercept and weights of the original model to the data, calculating the predicted probability of each participant according to the set of predictors collected in childhood, and compared the estimates with the actual outcome (ADHD) collected during adolescence and young adulthood. We explored the performance of the original model, and of models including novel predictors (prematurity, family history of ADHD, and polygenic risk score for ADHD). Results The observed area under the curve of the original model was .76 (95% Confidence Interval .70 to .82). The multivariable demographical model outperformed single variable models using only prematurity, family history, or the ADHD PRS. Adding either of these variables, or all at once, did not improve the performance of the original demographical model. Conclusions Our findings suggest that the originally developed ADHD predictive model is suitable for use in different settings for clinical and research purposes. En ligne : https://doi.org/10.1111/jcpp.13682 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490
in Journal of Child Psychology and Psychiatry > 64-1 (January 2023) . - p.167-174[article] Replication of a predictive model for youth ADHD in an independent sample from a developing country [Texte imprimé et/ou numérique] / Cezar H. LORENZI, Auteur ; Douglas TEIXEIRA LEFFA, Auteur ; Rodrigo BRESSAN, Auteur ; Sintia I. BELANGERO, Auteur ; Ary GADELHA, Auteur ; Marcos L. SANTORO, Auteur ; Giovanni A. SALUM, Auteur ; Luis Augusto ROHDE, Auteur ; Arthur CAYE, Auteur . - p.167-174.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 64-1 (January 2023) . - p.167-174
Index. décimale : PER Périodiques Résumé : Background Very few predictive models in Psychiatry had their performance validated in independent external samples. A previously developed multivariable demographic model for attention-deficit/hyperactivity disorder (ADHD) accurately predicted young adulthood ADHD using clinical and demographical information collected in childhood in three samples from developed countries, but failed to replicate its performance in a sample from a developing country. Furthermore, consolidated risk factors for ADHD were not included among its predictors. Methods Participants were 1905 children and adolescents from a community-based sample and followed from ages 6 to 14 years at baseline to ages 14 to 23 years (mean age 18) at follow-up. We applied the intercept and weights of the original model to the data, calculating the predicted probability of each participant according to the set of predictors collected in childhood, and compared the estimates with the actual outcome (ADHD) collected during adolescence and young adulthood. We explored the performance of the original model, and of models including novel predictors (prematurity, family history of ADHD, and polygenic risk score for ADHD). Results The observed area under the curve of the original model was .76 (95% Confidence Interval .70 to .82). The multivariable demographical model outperformed single variable models using only prematurity, family history, or the ADHD PRS. Adding either of these variables, or all at once, did not improve the performance of the original demographical model. Conclusions Our findings suggest that the originally developed ADHD predictive model is suitable for use in different settings for clinical and research purposes. En ligne : https://doi.org/10.1111/jcpp.13682 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490