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Documents disponibles écrits par cet auteur (2)
Faire une suggestion Affiner la rechercheThe p factor: genetic analyses support a general dimension of psychopathology in childhood and adolescence / Andrea G. ALLEGRINI in Journal of Child Psychology and Psychiatry, 61-1 (January 2020)
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Titre : The p factor: genetic analyses support a general dimension of psychopathology in childhood and adolescence Type de document : texte imprimé Auteurs : Andrea G. ALLEGRINI, Auteur ; Rosa CHEESMAN, Auteur ; Kaili RIMFELD, Auteur ; Saskia SELZAM, Auteur ; Jean-Baptiste PINGAULT, Auteur ; Thalia C. ELEY, Auteur ; Robert PLOMIN, Auteur Article en page(s) : p.30-39 Langues : Anglais (eng) Mots-clés : Childhood psychopathology behavioural genetics genomics Index. décimale : PER Périodiques Résumé : BACKGROUND: Diverse behaviour problems in childhood correlate phenotypically, suggesting a general dimension of psychopathology that has been called the p factor. The shared genetic architecture between childhood psychopathology traits also supports a genetic p. This study systematically investigates the manifestation of this common dimension across self-, parent- and teacher-rated measures in childhood and adolescence. METHODS: The sample included 7,026 twin pairs from the Twins Early Development Study (TEDS). First, we employed multivariate twin models to estimate common genetic and environmental influences on p based on diverse measures of behaviour problems rated by children, parents and teachers at ages 7, 9, 12 and 16 (depressive traits, emotional problems, peer problems, autism traits, hyperactivity, antisocial behaviour, conduct problems and psychopathic tendencies). Second, to assess the stability of genetic and environmental influences on p across time, we conducted longitudinal twin modelling of the first phenotypic principal components of childhood psychopathological measures across each of the four ages. Third, we created a genetic p factor in 7,026 unrelated genotyped individuals based on eight polygenic scores for psychiatric disorders to estimate how a general polygenic predisposition to mostly adult psychiatric disorders relates to childhood p. RESULTS: Behaviour problems were consistently correlated phenotypically and genetically across ages and raters. The p factor is substantially heritable (50%-60%) and manifests consistently across diverse ages and raters. However, residual variation in the common factor models indicates unique contributions as well. Genetic correlations of p components across childhood and adolescence suggest stability over time (49%-78%). A polygenic general psychopathology factor derived from studies of psychiatric disorders consistently predicted a general phenotypic p factor across development (0.3%-0.9%). CONCLUSIONS: Diverse forms of psychopathology generally load on a common p factor, which is highly heritable. There are substantial genetic influences on the stability of p across childhood. Our analyses indicate genetic overlap between general risk for psychiatric disorders in adulthood and p in childhood, even as young as age 7. The p factor has far-reaching implications for genomic research and, eventually, for diagnosis and treatment of behaviour problems. En ligne : http://dx.doi.org/10.1111/jcpp.13113 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=413
in Journal of Child Psychology and Psychiatry > 61-1 (January 2020) . - p.30-39[article] The p factor: genetic analyses support a general dimension of psychopathology in childhood and adolescence [texte imprimé] / Andrea G. ALLEGRINI, Auteur ; Rosa CHEESMAN, Auteur ; Kaili RIMFELD, Auteur ; Saskia SELZAM, Auteur ; Jean-Baptiste PINGAULT, Auteur ; Thalia C. ELEY, Auteur ; Robert PLOMIN, Auteur . - p.30-39.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 61-1 (January 2020) . - p.30-39
Mots-clés : Childhood psychopathology behavioural genetics genomics Index. décimale : PER Périodiques Résumé : BACKGROUND: Diverse behaviour problems in childhood correlate phenotypically, suggesting a general dimension of psychopathology that has been called the p factor. The shared genetic architecture between childhood psychopathology traits also supports a genetic p. This study systematically investigates the manifestation of this common dimension across self-, parent- and teacher-rated measures in childhood and adolescence. METHODS: The sample included 7,026 twin pairs from the Twins Early Development Study (TEDS). First, we employed multivariate twin models to estimate common genetic and environmental influences on p based on diverse measures of behaviour problems rated by children, parents and teachers at ages 7, 9, 12 and 16 (depressive traits, emotional problems, peer problems, autism traits, hyperactivity, antisocial behaviour, conduct problems and psychopathic tendencies). Second, to assess the stability of genetic and environmental influences on p across time, we conducted longitudinal twin modelling of the first phenotypic principal components of childhood psychopathological measures across each of the four ages. Third, we created a genetic p factor in 7,026 unrelated genotyped individuals based on eight polygenic scores for psychiatric disorders to estimate how a general polygenic predisposition to mostly adult psychiatric disorders relates to childhood p. RESULTS: Behaviour problems were consistently correlated phenotypically and genetically across ages and raters. The p factor is substantially heritable (50%-60%) and manifests consistently across diverse ages and raters. However, residual variation in the common factor models indicates unique contributions as well. Genetic correlations of p components across childhood and adolescence suggest stability over time (49%-78%). A polygenic general psychopathology factor derived from studies of psychiatric disorders consistently predicted a general phenotypic p factor across development (0.3%-0.9%). CONCLUSIONS: Diverse forms of psychopathology generally load on a common p factor, which is highly heritable. There are substantial genetic influences on the stability of p across childhood. Our analyses indicate genetic overlap between general risk for psychiatric disorders in adulthood and p in childhood, even as young as age 7. The p factor has far-reaching implications for genomic research and, eventually, for diagnosis and treatment of behaviour problems. En ligne : http://dx.doi.org/10.1111/jcpp.13113 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=413 Using DNA to predict behaviour problems from preschool to adulthood / Agnieszka GIDZIELA in Journal of Child Psychology and Psychiatry, 63-7 (July 2022)
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[article]
Titre : Using DNA to predict behaviour problems from preschool to adulthood Type de document : texte imprimé Auteurs : Agnieszka GIDZIELA, Auteur ; Kaili RIMFELD, Auteur ; Margherita MALANCHINI, Auteur ; Andrea G. ALLEGRINI, Auteur ; Andrew MCMILLAN, Auteur ; Saskia SELZAM, Auteur ; Angelica RONALD, Auteur ; Essi VIDING, Auteur ; Sophie VON STUMM, Auteur ; Thalia C. ELEY, Auteur ; Robert PLOMIN, Auteur Article en page(s) : p.781-792 Langues : Anglais (eng) Mots-clés : Adolescent Adult Child Child, Preschool Dna Educational Status Genome-Wide Association Study Humans Multifactorial Inheritance Problem Behavior Young Adult Behaviour problems composites externalising internalising polygenic scores twin study Index. décimale : PER Périodiques Résumé : BACKGROUND: One goal of the DNA revolution is to predict problems in order to prevent them. We tested here if the prediction of behaviour problems from genome-wide polygenic scores (GPS) can be improved by creating composites across ages and across raters and by using a multi-GPS approach that includes GPS for adult psychiatric disorders as well as for childhood behaviour problems. METHOD: Our sample included 3,065 genotyped unrelated individuals from the Twins Early Development Study who were assessed longitudinally for hyperactivity, conduct, emotional problems, and peer problems as rated by parents, teachers, and children themselves. GPS created from 15 genome-wide association studies were used separately and jointly to test the prediction of behaviour problems composites (general behaviour problems, externalising, and internalising) across ages (from age 2 to 21) and across raters in penalised regression models. Based on the regression weights, we created multi-trait GPS reflecting the best prediction of behaviour problems. We compared GPS prediction to twin heritability using the same sample and measures. RESULTS: Multi-GPS prediction of behaviour problems increased from <2% of the variance for observed traits to up to 6% for cross-age and cross-rater composites. Twin study estimates of heritability, although to a lesser extent, mirrored patterns of multi-GPS prediction as they increased from <40% to 83%. CONCLUSIONS: The ability of GPS to predict behaviour problems can be improved by using multiple GPS, cross-age composites and cross-rater composites, although the effect sizes remain modest, up to 6%. Our approach can be used in any genotyped sample to create multi-trait GPS predictors of behaviour problems that will be more predictive than polygenic scores based on a single age, rater, or GPS. En ligne : http://dx.doi.org/10.1111/jcpp.13519 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Journal of Child Psychology and Psychiatry > 63-7 (July 2022) . - p.781-792[article] Using DNA to predict behaviour problems from preschool to adulthood [texte imprimé] / Agnieszka GIDZIELA, Auteur ; Kaili RIMFELD, Auteur ; Margherita MALANCHINI, Auteur ; Andrea G. ALLEGRINI, Auteur ; Andrew MCMILLAN, Auteur ; Saskia SELZAM, Auteur ; Angelica RONALD, Auteur ; Essi VIDING, Auteur ; Sophie VON STUMM, Auteur ; Thalia C. ELEY, Auteur ; Robert PLOMIN, Auteur . - p.781-792.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-7 (July 2022) . - p.781-792
Mots-clés : Adolescent Adult Child Child, Preschool Dna Educational Status Genome-Wide Association Study Humans Multifactorial Inheritance Problem Behavior Young Adult Behaviour problems composites externalising internalising polygenic scores twin study Index. décimale : PER Périodiques Résumé : BACKGROUND: One goal of the DNA revolution is to predict problems in order to prevent them. We tested here if the prediction of behaviour problems from genome-wide polygenic scores (GPS) can be improved by creating composites across ages and across raters and by using a multi-GPS approach that includes GPS for adult psychiatric disorders as well as for childhood behaviour problems. METHOD: Our sample included 3,065 genotyped unrelated individuals from the Twins Early Development Study who were assessed longitudinally for hyperactivity, conduct, emotional problems, and peer problems as rated by parents, teachers, and children themselves. GPS created from 15 genome-wide association studies were used separately and jointly to test the prediction of behaviour problems composites (general behaviour problems, externalising, and internalising) across ages (from age 2 to 21) and across raters in penalised regression models. Based on the regression weights, we created multi-trait GPS reflecting the best prediction of behaviour problems. We compared GPS prediction to twin heritability using the same sample and measures. RESULTS: Multi-GPS prediction of behaviour problems increased from <2% of the variance for observed traits to up to 6% for cross-age and cross-rater composites. Twin study estimates of heritability, although to a lesser extent, mirrored patterns of multi-GPS prediction as they increased from <40% to 83%. CONCLUSIONS: The ability of GPS to predict behaviour problems can be improved by using multiple GPS, cross-age composites and cross-rater composites, although the effect sizes remain modest, up to 6%. Our approach can be used in any genotyped sample to create multi-trait GPS predictors of behaviour problems that will be more predictive than polygenic scores based on a single age, rater, or GPS. En ligne : http://dx.doi.org/10.1111/jcpp.13519 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

