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Détail de l'auteur
Auteur G. C. DIELEMAN |
Documents disponibles écrits par cet auteur (2)
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Autism Spectrum Disorder in an Unselected Cohort of Children with Neurofibromatosis Type 1 (NF1) / S. EIJK in Journal of Autism and Developmental Disorders, 48-7 (July 2018)
[article]
Titre : Autism Spectrum Disorder in an Unselected Cohort of Children with Neurofibromatosis Type 1 (NF1) Type de document : Texte imprimé et/ou numérique Auteurs : S. EIJK, Auteur ; S. E. MOUS, Auteur ; G. C. DIELEMAN, Auteur ; Bram DIERCKX, Auteur ; A. B. RIETMAN, Auteur ; P. F. A. DE NIJS, Auteur ; L. W. TEN HOOPEN, Auteur ; R. VAN MINKELEN, Auteur ; Y. ELGERSMA, Auteur ; Coriene E. CATSMAN-BERREVOETS, Auteur ; R. OOSTENBRINK, Auteur ; J. S. LEGERSTEE, Auteur Article en page(s) : p.2278-2285 Langues : Anglais (eng) Mots-clés : Autism diagnostic observation schedule Autism spectrum disorder Autistic traits Neurofibromatosis type 1 Prevalence Social responsiveness scale Index. décimale : PER Périodiques Résumé : In a non-selected sample of children with Neurofibromatosis type 1 (NF1) the prevalence rate of autism spectrum disorder (ASD) and predictive value of an observational (ADOS)-and questionnaire-based screening instrument were assessed. Complete data was available for 128 children. The prevalence rate for clinical ASD was 10.9%, which is clearly higher than in the general population. This prevalence rate is presumably more accurate than in previous studies that examined children with NF1 with an ASD presumption or solely based on screening instruments. The combined observational- and screening based classifications demonstrated the highest positive predictive value for DSM-IV diagnosis, highlighting the importance of using both instruments in children with NF1. En ligne : http://dx.doi.org/10.1007/s10803-018-3478-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=367
in Journal of Autism and Developmental Disorders > 48-7 (July 2018) . - p.2278-2285[article] Autism Spectrum Disorder in an Unselected Cohort of Children with Neurofibromatosis Type 1 (NF1) [Texte imprimé et/ou numérique] / S. EIJK, Auteur ; S. E. MOUS, Auteur ; G. C. DIELEMAN, Auteur ; Bram DIERCKX, Auteur ; A. B. RIETMAN, Auteur ; P. F. A. DE NIJS, Auteur ; L. W. TEN HOOPEN, Auteur ; R. VAN MINKELEN, Auteur ; Y. ELGERSMA, Auteur ; Coriene E. CATSMAN-BERREVOETS, Auteur ; R. OOSTENBRINK, Auteur ; J. S. LEGERSTEE, Auteur . - p.2278-2285.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 48-7 (July 2018) . - p.2278-2285
Mots-clés : Autism diagnostic observation schedule Autism spectrum disorder Autistic traits Neurofibromatosis type 1 Prevalence Social responsiveness scale Index. décimale : PER Périodiques Résumé : In a non-selected sample of children with Neurofibromatosis type 1 (NF1) the prevalence rate of autism spectrum disorder (ASD) and predictive value of an observational (ADOS)-and questionnaire-based screening instrument were assessed. Complete data was available for 128 children. The prevalence rate for clinical ASD was 10.9%, which is clearly higher than in the general population. This prevalence rate is presumably more accurate than in previous studies that examined children with NF1 with an ASD presumption or solely based on screening instruments. The combined observational- and screening based classifications demonstrated the highest positive predictive value for DSM-IV diagnosis, highlighting the importance of using both instruments in children with NF1. En ligne : http://dx.doi.org/10.1007/s10803-018-3478-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=367 The predictive capacity of psychiatric and psychological polygenic risk scores for distinguishing cases in a child and adolescent psychiatric sample from controls / A. G. JANSEN in Journal of Child Psychology and Psychiatry, 62-9 (September 2021)
[article]
Titre : The predictive capacity of psychiatric and psychological polygenic risk scores for distinguishing cases in a child and adolescent psychiatric sample from controls Type de document : Texte imprimé et/ou numérique Auteurs : A. G. JANSEN, Auteur ; P. R. JANSEN, Auteur ; Jeanne E. SAVAGE, Auteur ; J. KRAFT, Auteur ; N. SKARABIS, Auteur ; Tinca J. C. POLDERMAN, Auteur ; G. C. DIELEMAN, Auteur Article en page(s) : p.1079-1089 Langues : Anglais (eng) Mots-clés : Adolescent Adult Aged Aged, 80 and over Anxiety Disorders/epidemiology/genetics Attention Deficit Disorder with Hyperactivity Child Child, Preschool Depressive Disorder, Major Humans Infant Middle Aged Multifactorial Inheritance/genetics Risk Factors Young Adult Genetics comorbidity general P factor neurodevelopmental disorders psychiatry Index. décimale : PER Périodiques Résumé : BACKGROUND: Psychiatric traits are heritable, highly comorbid and genetically correlated, suggesting that genetic effects that are shared across disorders are at play. The aim of the present study is to quantify the predictive capacity of common genetic variation of a variety of traits, as captured by their PRS, to predict case-control status in a child and adolescent psychiatric sample including controls to reveal which traits contribute to the shared genetic risk across disorders. METHOD: Polygenic risk scores (PRS) of 14 traits were used as predictor phenotypes to predict case-control status in a clinical sample. Clinical cases (N = 1,402), age 1-21, diagnostic categories: Autism spectrum disorders (N = 492), Attention-deficit/ hyperactivity disorders (N = 471), Anxiety (N = 293), disruptive behaviors (N = 101), eating disorders (N = 97), OCD (N = 43), Tic disorder (N = 50), Disorder of infancy, childhood or adolescence NOS (N = 65), depression (N = 64), motor, learning and communication disorders (N = 59), Anorexia Nervosa (N = 48), somatoform disorders (N = 47), Trauma/stress (N = 39) and controls (N = 1,448, age 17-84) of European ancestry. First, these 14 PRS were tested in univariate regression analyses. The traits that significantly predicted case-control status were included in a multivariable regression model to investigate the gain in explained variance when leveraging the genetic effects of multiple traits simultaneously. RESULTS: In the univariate analyses, we observed significant associations between clinical status and the PRS of educational attainment (EA), smoking initiation (SI), intelligence, neuroticism, alcohol dependence, ADHD, major depression and anti-social behavior. EA (p-value: 3.53E-20, explained variance: 3.99%, OR: 0.66), and SI (p-value: 4.77E-10, explained variance: 1.91%, OR: 1.33) were the most predictive traits. In the multivariable analysis with these eight significant traits, EA and SI, remained significant predictors. The explained variance of the PRS in the model with these eight traits combined was 5.9%. CONCLUSION: Our study provides more insights into the genetic signal that is shared between childhood and adolescent psychiatric disorders. As such, our findings might guide future studies on psychiatric comorbidity and offer insights into shared etiology between psychiatric disorders. The increase in explained variance when leveraging the genetic signal of different predictor traits supports a multivariable approach to optimize precision accuracy for general psychopathology. En ligne : http://dx.doi.org/10.1111/jcpp.13370 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1079-1089[article] The predictive capacity of psychiatric and psychological polygenic risk scores for distinguishing cases in a child and adolescent psychiatric sample from controls [Texte imprimé et/ou numérique] / A. G. JANSEN, Auteur ; P. R. JANSEN, Auteur ; Jeanne E. SAVAGE, Auteur ; J. KRAFT, Auteur ; N. SKARABIS, Auteur ; Tinca J. C. POLDERMAN, Auteur ; G. C. DIELEMAN, Auteur . - p.1079-1089.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1079-1089
Mots-clés : Adolescent Adult Aged Aged, 80 and over Anxiety Disorders/epidemiology/genetics Attention Deficit Disorder with Hyperactivity Child Child, Preschool Depressive Disorder, Major Humans Infant Middle Aged Multifactorial Inheritance/genetics Risk Factors Young Adult Genetics comorbidity general P factor neurodevelopmental disorders psychiatry Index. décimale : PER Périodiques Résumé : BACKGROUND: Psychiatric traits are heritable, highly comorbid and genetically correlated, suggesting that genetic effects that are shared across disorders are at play. The aim of the present study is to quantify the predictive capacity of common genetic variation of a variety of traits, as captured by their PRS, to predict case-control status in a child and adolescent psychiatric sample including controls to reveal which traits contribute to the shared genetic risk across disorders. METHOD: Polygenic risk scores (PRS) of 14 traits were used as predictor phenotypes to predict case-control status in a clinical sample. Clinical cases (N = 1,402), age 1-21, diagnostic categories: Autism spectrum disorders (N = 492), Attention-deficit/ hyperactivity disorders (N = 471), Anxiety (N = 293), disruptive behaviors (N = 101), eating disorders (N = 97), OCD (N = 43), Tic disorder (N = 50), Disorder of infancy, childhood or adolescence NOS (N = 65), depression (N = 64), motor, learning and communication disorders (N = 59), Anorexia Nervosa (N = 48), somatoform disorders (N = 47), Trauma/stress (N = 39) and controls (N = 1,448, age 17-84) of European ancestry. First, these 14 PRS were tested in univariate regression analyses. The traits that significantly predicted case-control status were included in a multivariable regression model to investigate the gain in explained variance when leveraging the genetic effects of multiple traits simultaneously. RESULTS: In the univariate analyses, we observed significant associations between clinical status and the PRS of educational attainment (EA), smoking initiation (SI), intelligence, neuroticism, alcohol dependence, ADHD, major depression and anti-social behavior. EA (p-value: 3.53E-20, explained variance: 3.99%, OR: 0.66), and SI (p-value: 4.77E-10, explained variance: 1.91%, OR: 1.33) were the most predictive traits. In the multivariable analysis with these eight significant traits, EA and SI, remained significant predictors. The explained variance of the PRS in the model with these eight traits combined was 5.9%. CONCLUSION: Our study provides more insights into the genetic signal that is shared between childhood and adolescent psychiatric disorders. As such, our findings might guide future studies on psychiatric comorbidity and offer insights into shared etiology between psychiatric disorders. The increase in explained variance when leveraging the genetic signal of different predictor traits supports a multivariable approach to optimize precision accuracy for general psychopathology. En ligne : http://dx.doi.org/10.1111/jcpp.13370 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456