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Auteur Andrea G. ALLEGRINI |
Documents disponibles écrits par cet auteur (6)
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Editorial: Does the polygenic revolution herald a watershed in the study of GE interplay in developmental psychopathology? Some considerations for the Special Issue reader / Edward D. BARKER in Journal of Child Psychology and Psychiatry, 63-10 (October 2022)
[article]
Titre : Editorial: Does the polygenic revolution herald a watershed in the study of GE interplay in developmental psychopathology? Some considerations for the Special Issue reader Type de document : Texte imprimé et/ou numérique Auteurs : Edward D. BARKER, Auteur ; Barbara MAUGHAN, Auteur ; Andrea G. ALLEGRINI, Auteur ; Jean Baptiste PINGAULT, Auteur ; Edmund J. S. SONUGA-BARKE, Auteur Année de publication : 2022 Article en page(s) : p.1107-1110 Langues : Anglais (eng) Mots-clés : Child Humans Mental Disorders/genetics/psychology Psychopathology Receptor for Advanced Glycation End Products Risk Factors Index. décimale : PER Périodiques Résumé : The primary goal motivating the scientific field of Developmental Psychopathology is to discover why some individuals develop mental health and neuro-developmental difficulties while others do not. This is not simply a 'blue skies' preoccupation: the underlying hope, of course, is to translate such discoveries to the benefit of individuals, families and communities, reducing poor outcomes for those at risk and - in the best case scenario - ensuring that they thrive. A core tenet of the bio-psycho-social framework within which this field of enquiry operates is that children's difficulties are determined by the interplay of predisposing genetic risk and resilience factors and the environments and experiences to which individuals are exposed. From this perspective, understanding gene-environment (GE) interplay is a necessary condition for explaining and, as importantly predicting, why one individual is at risk while another is not. If we believe this, then the risk calculators designed to show who will and will not get a particular disorder - all the rage at the moment - are doomed to fail until they can go beyond modelling the main effects of genes and environments, and reliably estimate GE processes too. Despite significant progress, we remain a considerable way off cracking this problem. En ligne : http://dx.doi.org/10.1111/jcpp.13692 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486
in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1107-1110[article] Editorial: Does the polygenic revolution herald a watershed in the study of GE interplay in developmental psychopathology? Some considerations for the Special Issue reader [Texte imprimé et/ou numérique] / Edward D. BARKER, Auteur ; Barbara MAUGHAN, Auteur ; Andrea G. ALLEGRINI, Auteur ; Jean Baptiste PINGAULT, Auteur ; Edmund J. S. SONUGA-BARKE, Auteur . - 2022 . - p.1107-1110.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1107-1110
Mots-clés : Child Humans Mental Disorders/genetics/psychology Psychopathology Receptor for Advanced Glycation End Products Risk Factors Index. décimale : PER Périodiques Résumé : The primary goal motivating the scientific field of Developmental Psychopathology is to discover why some individuals develop mental health and neuro-developmental difficulties while others do not. This is not simply a 'blue skies' preoccupation: the underlying hope, of course, is to translate such discoveries to the benefit of individuals, families and communities, reducing poor outcomes for those at risk and - in the best case scenario - ensuring that they thrive. A core tenet of the bio-psycho-social framework within which this field of enquiry operates is that children's difficulties are determined by the interplay of predisposing genetic risk and resilience factors and the environments and experiences to which individuals are exposed. From this perspective, understanding gene-environment (GE) interplay is a necessary condition for explaining and, as importantly predicting, why one individual is at risk while another is not. If we believe this, then the risk calculators designed to show who will and will not get a particular disorder - all the rage at the moment - are doomed to fail until they can go beyond modelling the main effects of genes and environments, and reliably estimate GE processes too. Despite significant progress, we remain a considerable way off cracking this problem. En ligne : http://dx.doi.org/10.1111/jcpp.13692 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 Gene × Environment contributions to autonomic stress reactivity in youth / Andrea G. ALLEGRINI in Development and Psychopathology, 31-1 (February 2019)
[article]
Titre : Gene × Environment contributions to autonomic stress reactivity in youth Type de document : Texte imprimé et/ou numérique Auteurs : Andrea G. ALLEGRINI, Auteur ; Brittany E. EVANS, Auteur ; Susanne DE ROOIJ, Auteur ; Kirstin GREAVES-LORD, Auteur ; Anja C. HUIZINK, Auteur Article en page(s) : p.293-307 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Dysregulated physiological stress reactivity has been suggested to impact the development of children and adolescents with important health consequences throughout the life span. Both environmental adversity and genetic predispositions can lead to physiological imbalances in stress systems, which in turn lead to developmental differences. We investigated genetic and environmental contributions to autonomic nervous system reactivity to a psychosocial stressor. Furthermore, we tested whether these effects were consistent with the differential susceptibility framework. Composite measures of adverse life events combined with socioeconomic status were constructed. Effects of these adversity scores in interaction with a polygenic score summarizing six genetic variants, which were hypothesized to work as susceptibility factors, were tested on autonomic nervous system measures as indexed by heart rate and heart rate variability. Results showed that carriers of more genetic variants and exposed to high adversity manifested enhanced heart rate variability reactivity to a psychosocial stressor compared to carriers of fewer genetic variants. Conversely, the stress procedure elicited a more moderate response in these individuals compared to carriers of fewer variants when adversity was low. En ligne : http://dx.doi.org/10.1017/S095457941700181X Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=383
in Development and Psychopathology > 31-1 (February 2019) . - p.293-307[article] Gene × Environment contributions to autonomic stress reactivity in youth [Texte imprimé et/ou numérique] / Andrea G. ALLEGRINI, Auteur ; Brittany E. EVANS, Auteur ; Susanne DE ROOIJ, Auteur ; Kirstin GREAVES-LORD, Auteur ; Anja C. HUIZINK, Auteur . - p.293-307.
Langues : Anglais (eng)
in Development and Psychopathology > 31-1 (February 2019) . - p.293-307
Index. décimale : PER Périodiques Résumé : Dysregulated physiological stress reactivity has been suggested to impact the development of children and adolescents with important health consequences throughout the life span. Both environmental adversity and genetic predispositions can lead to physiological imbalances in stress systems, which in turn lead to developmental differences. We investigated genetic and environmental contributions to autonomic nervous system reactivity to a psychosocial stressor. Furthermore, we tested whether these effects were consistent with the differential susceptibility framework. Composite measures of adverse life events combined with socioeconomic status were constructed. Effects of these adversity scores in interaction with a polygenic score summarizing six genetic variants, which were hypothesized to work as susceptibility factors, were tested on autonomic nervous system measures as indexed by heart rate and heart rate variability. Results showed that carriers of more genetic variants and exposed to high adversity manifested enhanced heart rate variability reactivity to a psychosocial stressor compared to carriers of fewer genetic variants. Conversely, the stress procedure elicited a more moderate response in these individuals compared to carriers of fewer variants when adversity was low. En ligne : http://dx.doi.org/10.1017/S095457941700181X Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=383 Research Review: A guide to computing and implementing polygenic scores in developmental research / Andrea G. ALLEGRINI in Journal of Child Psychology and Psychiatry, 63-10 (October 2022)
[article]
Titre : Research Review: A guide to computing and implementing polygenic scores in developmental research Type de document : Texte imprimé et/ou numérique Auteurs : Andrea G. ALLEGRINI, Auteur ; Jessie R. BALDWIN, Auteur ; Wikus BARKHUIZEN, Auteur ; Jean-Baptiste PINGAULT, Auteur Année de publication : 2022 Article en page(s) : p.1111-1124 Langues : Anglais (eng) Mots-clés : Adolescent Child Genotype Humans Multifactorial Inheritance/genetics Polygenic scores developmental research longitudinal models Index. décimale : PER Périodiques Résumé : The increasing availability of genotype data in longitudinal population- and family-based samples provides opportunities for using polygenic scores (PGS) to study developmental questions in child and adolescent psychology and psychiatry. Here, we aim to provide a comprehensive overview of how PGS can be generated and implemented in developmental psycho(patho)logy, with a focus on longitudinal designs. As such, the paper is organized into three parts: First, we provide a formal definition of polygenic scores and related concepts, focusing on assumptions and limitations. Second, we give a general overview of the methods used to compute polygenic scores, ranging from the classic approach to more advanced methods. We include recommendations and reference resources available to researchers aiming to conduct PGS analyses. Finally, we focus on the practical applications of PGS in the analysis of longitudinal data. We describe how PGS have been used to research developmental outcomes, and how they can be applied to longitudinal data to address developmental questions. En ligne : http://dx.doi.org/10.1111/jcpp.13611 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486
in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1111-1124[article] Research Review: A guide to computing and implementing polygenic scores in developmental research [Texte imprimé et/ou numérique] / Andrea G. ALLEGRINI, Auteur ; Jessie R. BALDWIN, Auteur ; Wikus BARKHUIZEN, Auteur ; Jean-Baptiste PINGAULT, Auteur . - 2022 . - p.1111-1124.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1111-1124
Mots-clés : Adolescent Child Genotype Humans Multifactorial Inheritance/genetics Polygenic scores developmental research longitudinal models Index. décimale : PER Périodiques Résumé : The increasing availability of genotype data in longitudinal population- and family-based samples provides opportunities for using polygenic scores (PGS) to study developmental questions in child and adolescent psychology and psychiatry. Here, we aim to provide a comprehensive overview of how PGS can be generated and implemented in developmental psycho(patho)logy, with a focus on longitudinal designs. As such, the paper is organized into three parts: First, we provide a formal definition of polygenic scores and related concepts, focusing on assumptions and limitations. Second, we give a general overview of the methods used to compute polygenic scores, ranging from the classic approach to more advanced methods. We include recommendations and reference resources available to researchers aiming to conduct PGS analyses. Finally, we focus on the practical applications of PGS in the analysis of longitudinal data. We describe how PGS have been used to research developmental outcomes, and how they can be applied to longitudinal data to address developmental questions. En ligne : http://dx.doi.org/10.1111/jcpp.13611 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes / Jean-Baptiste PINGAULT in Journal of Child Psychology and Psychiatry, 63-10 (October 2022)
[article]
Titre : Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes Type de document : Texte imprimé et/ou numérique Auteurs : Jean-Baptiste PINGAULT, Auteur ; Andrea G. ALLEGRINI, Auteur ; Tracy ODIGIE, Auteur ; Leonard FRACH, Auteur ; Jessie R. BALDWIN, Auteur ; Frühling V. RIJSDIJK, Auteur ; Frank DUDBRIDGE, Auteur Année de publication : 2022 Article en page(s) : p.1125-1139 Langues : Anglais (eng) Mots-clés : Cohort Studies Environmental Exposure/adverse effects Genetic Predisposition to Disease Genome-Wide Association Study Humans Midazolam Multifactorial Inheritance Phenotype Polygenic scores biases environment epidemiology phenotypes Index. décimale : PER Périodiques Résumé : BACKGROUND: Genetic influences are ubiquitous as virtually all phenotypes and most exposures typically classified as environmental have been found to be heritable. A polygenic score summarises the associations between millions of genetic variants and an outcome in a single value for each individual. Ever lowering costs have enabled the genotyping of many samples relevant to child psychology and psychiatry research, including cohort studies, leading to the proliferation of polygenic score studies. It is tempting to assume that associations detected between polygenic scores and phenotypes in those studies only reflect genetic effects. However, such associations can reflect many pathways (e.g. via environmental mediation) and biases. METHODS: Here, we provide a comprehensive overview of the many reasons why associations between polygenic scores, environmental exposures, and phenotypes exist. We include formal representations of common analyses in polygenic score studies using structural equation modelling. We derive biases, provide illustrative empirical examples and, when possible, mention steps that can be taken to alleviate those biases. RESULTS: Structural equation models and derivations show the many complexities arising from jointly modelling polygenic scores with environmental exposures and phenotypes. Counter-intuitive examples include that: (a) associations between polygenic scores and phenotypes may exist even in the absence of direct genetic effects; (b) associations between child polygenic scores and environmental exposures can exist in the absence of evocative/active gene-environment correlations; and (c) adjusting an exposure-outcome association for a polygenic score can increase rather than decrease bias. CONCLUSIONS: Strikingly, using polygenic scores may, in some cases, lead to more bias than not using them. Appropriately conducting and interpreting polygenic score studies thus requires researchers in child psychology and psychiatry and beyond to be versed in both epidemiological and genetic methods or build on interdisciplinary collaborations. En ligne : http://dx.doi.org/10.1111/jcpp.13607 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486
in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1125-1139[article] Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes [Texte imprimé et/ou numérique] / Jean-Baptiste PINGAULT, Auteur ; Andrea G. ALLEGRINI, Auteur ; Tracy ODIGIE, Auteur ; Leonard FRACH, Auteur ; Jessie R. BALDWIN, Auteur ; Frühling V. RIJSDIJK, Auteur ; Frank DUDBRIDGE, Auteur . - 2022 . - p.1125-1139.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1125-1139
Mots-clés : Cohort Studies Environmental Exposure/adverse effects Genetic Predisposition to Disease Genome-Wide Association Study Humans Midazolam Multifactorial Inheritance Phenotype Polygenic scores biases environment epidemiology phenotypes Index. décimale : PER Périodiques Résumé : BACKGROUND: Genetic influences are ubiquitous as virtually all phenotypes and most exposures typically classified as environmental have been found to be heritable. A polygenic score summarises the associations between millions of genetic variants and an outcome in a single value for each individual. Ever lowering costs have enabled the genotyping of many samples relevant to child psychology and psychiatry research, including cohort studies, leading to the proliferation of polygenic score studies. It is tempting to assume that associations detected between polygenic scores and phenotypes in those studies only reflect genetic effects. However, such associations can reflect many pathways (e.g. via environmental mediation) and biases. METHODS: Here, we provide a comprehensive overview of the many reasons why associations between polygenic scores, environmental exposures, and phenotypes exist. We include formal representations of common analyses in polygenic score studies using structural equation modelling. We derive biases, provide illustrative empirical examples and, when possible, mention steps that can be taken to alleviate those biases. RESULTS: Structural equation models and derivations show the many complexities arising from jointly modelling polygenic scores with environmental exposures and phenotypes. Counter-intuitive examples include that: (a) associations between polygenic scores and phenotypes may exist even in the absence of direct genetic effects; (b) associations between child polygenic scores and environmental exposures can exist in the absence of evocative/active gene-environment correlations; and (c) adjusting an exposure-outcome association for a polygenic score can increase rather than decrease bias. CONCLUSIONS: Strikingly, using polygenic scores may, in some cases, lead to more bias than not using them. Appropriately conducting and interpreting polygenic score studies thus requires researchers in child psychology and psychiatry and beyond to be versed in both epidemiological and genetic methods or build on interdisciplinary collaborations. En ligne : http://dx.doi.org/10.1111/jcpp.13607 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 The 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)
[article]
Titre : The p factor: genetic analyses support a general dimension of psychopathology in childhood and adolescence Type de document : Texte imprimé et/ou numérique Auteurs : Andrea G. ALLEGRINI, Auteur ; Rosa CHEESMAN, Auteur ; K. RIMFELD, Auteur ; S. SELZAM, Auteur ; J. B. PINGAULT, Auteur ; T. C. ELEY, Auteur ; R. 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 et/ou numérique] / Andrea G. ALLEGRINI, Auteur ; Rosa CHEESMAN, Auteur ; K. RIMFELD, Auteur ; S. SELZAM, Auteur ; J. B. PINGAULT, Auteur ; T. C. ELEY, Auteur ; R. 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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