Age-Related Trajectories of Autistic Traits in Children With Angelman Syndrome / Sabine E. MOUS ; Leontine W. TEN HOOPEN ; André B. RIETMAN ; Kamil R. HIRALAL ; Karen G.C.B. BINDELS-DE HEUS ; Pieter F.A. DE NIJS ; Theresa C. MOHR ; Eline J. LENS ; Manon H.J. HILLEGERS ; Henriette A. MOLL ; Marie-Claire Y. DE WIT ; Gwen C. DIELEMAN in Autism Research, 18-4 (April 2025)  

Public ISBD [article]  inAutism Research > 18-4 (April 2025) . - p.870-880 Titre : Age-Related Trajectories of Autistic Traits in Children With Angelman Syndrome Type de document : texte imprimé Auteurs : Sabine E. MOUS, Auteur ; Leontine W. TEN HOOPEN, Auteur ; André B. RIETMAN, Auteur ; Kamil R. HIRALAL, Auteur ; Karen G.C.B. BINDELS-DE HEUS, Auteur ; Pieter F.A. DE NIJS, Auteur ; Theresa C. MOHR, Auteur ; Eline J. LENS, Auteur ; Manon H.J. HILLEGERS, Auteur ; Henriette A. MOLL, Auteur ; Marie-Claire Y. DE WIT, Auteur ; Gwen C. DIELEMAN, Auteur Article en page(s) : p.870-880 Langues : Anglais (eng) Mots-clés : Angelman syndrome  Autism Spectrum Disorder  autistic traits  longitudinal  repeated measures  sensory processing Index. décimale : PER Périodiques Résumé : ABSTRACT Angelman syndrome (AS) is a rare neurogenetic disorder. Previous studies indicate a high prevalence of autism spectrum disorder (ASD) with considerable variability. Little is known regarding the longitudinal trajectory of autistic traits. We aim to investigate autistic traits, the effect of age on these traits, and associated features in AS children. This (partly) longitudinal clinical record study at the ENCORE Expertise Center involved 107 AS children aged 2 18 with one (N 107), two (N 49), or three (N 14) measurements. Autistic traits and sensory processing issues were assessed using various instruments, and DSM classifications were used descriptively. Covariates were genotype, gender, and epilepsy. Results indicate a high prevalence of autistic traits and sensory processing issues. Children with the deletion genotype exhibited more autistic traits. Autism Diagnostic Observation Schedule (ADOS) classifications indicated higher rates of ASD compared to clinician DSM classifications. Autistic traits generally remained stable over time, except that ADOS scores significantly decreased for children with the UBE3A mutation genotype, and in the social affect domain for the entire group. In conclusion, incorporating the assessment of autistic traits and sensory processing into clinical practice for AS is important to inform adaptations of the environment to meet the child?s needs. Additionally, clinicians and researchers should be mindful of the potential for overestimating ASD traits in AS when relying on the ADOS. ASD diagnosis in AS should integrate multiple diagnostic instruments, diverse hetero-anamnestic sources, and multidisciplinary expert opinions. En ligne : https://doi.org/10.1002/aur.70017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554 [article] Age-Related Trajectories of Autistic Traits in Children With Angelman Syndrome [texte imprimé] / Sabine E. MOUS, Auteur ; Leontine W. TEN HOOPEN, Auteur ; André B. RIETMAN, Auteur ; Kamil R. HIRALAL, Auteur ; Karen G.C.B. BINDELS-DE HEUS, Auteur ; Pieter F.A. DE NIJS, Auteur ; Theresa C. MOHR, Auteur ; Eline J. LENS, Auteur ; Manon H.J. HILLEGERS, Auteur ; Henriette A. MOLL, Auteur ; Marie-Claire Y. DE WIT, Auteur ; Gwen C. DIELEMAN, Auteur . - p.870-880. Langues : Anglais (eng) in Autism Research > 18-4 (April 2025) . - p.870-880 Mots-clés : Angelman syndrome  Autism Spectrum Disorder  autistic traits  longitudinal  repeated measures  sensory processing Index. décimale : PER Périodiques Résumé : ABSTRACT Angelman syndrome (AS) is a rare neurogenetic disorder. Previous studies indicate a high prevalence of autism spectrum disorder (ASD) with considerable variability. Little is known regarding the longitudinal trajectory of autistic traits. We aim to investigate autistic traits, the effect of age on these traits, and associated features in AS children. This (partly) longitudinal clinical record study at the ENCORE Expertise Center involved 107 AS children aged 2 18 with one (N 107), two (N 49), or three (N 14) measurements. Autistic traits and sensory processing issues were assessed using various instruments, and DSM classifications were used descriptively. Covariates were genotype, gender, and epilepsy. Results indicate a high prevalence of autistic traits and sensory processing issues. Children with the deletion genotype exhibited more autistic traits. Autism Diagnostic Observation Schedule (ADOS) classifications indicated higher rates of ASD compared to clinician DSM classifications. Autistic traits generally remained stable over time, except that ADOS scores significantly decreased for children with the UBE3A mutation genotype, and in the social affect domain for the entire group. In conclusion, incorporating the assessment of autistic traits and sensory processing into clinical practice for AS is important to inform adaptations of the environment to meet the child?s needs. Additionally, clinicians and researchers should be mindful of the potential for overestimating ASD traits in AS when relying on the ADOS. ASD diagnosis in AS should integrate multiple diagnostic instruments, diverse hetero-anamnestic sources, and multidisciplinary expert opinions. En ligne : https://doi.org/10.1002/aur.70017 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554

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)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 48-7 (July 2018) . - p.2278-2285 Titre : Autism Spectrum Disorder in an Unselected Cohort of Children with Neurofibromatosis Type 1 (NF1) Type de document : texte imprimé Auteurs : S. EIJK, Auteur ; Sabine E. MOUS, Auteur ; Gwen C. DIELEMAN, Auteur ; Bram DIERCKX, Auteur ; André B. RIETMAN, Auteur ; Pieter F.A. DE NIJS, Auteur ; Leontine W. TEN HOOPEN, Auteur ; R. VAN MINKELEN, Auteur ; Ype ELGERSMA, Auteur ; Coriene E. CATSMAN-BERREVOETS, Auteur ; Rianne 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 [article] Autism Spectrum Disorder in an Unselected Cohort of Children with Neurofibromatosis Type 1 (NF1) [texte imprimé] / S. EIJK, Auteur ; Sabine E. MOUS, Auteur ; Gwen C. DIELEMAN, Auteur ; Bram DIERCKX, Auteur ; André B. RIETMAN, Auteur ; Pieter F.A. DE NIJS, Auteur ; Leontine W. TEN HOOPEN, Auteur ; R. VAN MINKELEN, Auteur ; Ype ELGERSMA, Auteur ; Coriene E. CATSMAN-BERREVOETS, Auteur ; Rianne 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

Outcome measures in Angelman syndrome / Doesjka A. HAGENAAR in Journal of Neurodevelopmental Disorders, 16 (2024)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 16 (2024) Titre : Outcome measures in Angelman syndrome Type de document : texte imprimé Auteurs : Doesjka A. HAGENAAR, Auteur ; Karen G.C.B. BINDELS-DE HEUS, Auteur ; Maud M. VAN GILS, Auteur ; Louise VAN DEN BERG, Auteur ; Leontine W. TEN HOOPEN, Auteur ; Philine AFFOURTIT, Auteur ; Johan J.M. PEL, Auteur ; Koen F.M. JOOSTEN, Auteur ; Manon H.J. HILLEGERS, Auteur ; Henriette A. MOLL, Auteur ; Marie-Claire Y. DE WIT, Auteur ; Gwen C. DIELEMAN, Auteur ; Sabine E. MOUS, Auteur Langues : Anglais (eng) Mots-clés : Child  Humans  Angelman Syndrome/complications/diagnosis  Reproducibility of Results  Body Composition  Plethysmography/methods  Electric Impedance  Angelman syndrome  Bod pod  Bio-impedance analysis  Eye-tracking  Functional near-Infrared Spectroscopy  Indirect calorimetry  Outcome measures  hospital received funding for this study. The hospital also received compensation  for advice to Roche and Jazz Pharmaceuticals. The department of Child- and  Adolescent Psychiatry/Psychology (Erasmus MC) is the Dutch distributer of the  Achenbach System of Empirically Based Assessment (ASEBA) measurement instruments,  which include the Child Behaviour Checklist (CBCL). The department receives  financial compensation for selling the measurement instruments. All other authors  have no conflict of interest to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Angelman syndrome (AS) is a rare neurodevelopmental disorder characterized by severe intellectual disability, little to no expressive speech, visual and motor problems, emotional/behavioral challenges, and a tendency towards hyperphagia and weight gain. The characteristics of AS make it difficult to measure these children's functioning with standard clinical tests. Feasible outcome measures are needed to measure current functioning and change over time, in clinical practice and clinical trials. AIM: Our first aim is to assess the feasibility of several functional tests. We target domains of neurocognitive functioning and physical growth using the following measurement methods: eye-tracking, functional Near-Infrared Spectroscopy (fNIRS), indirect calorimetry, bio-impedance analysis (BIA), and BOD POD (air-displacement plethysmography). Our second aim is to explore the results of the above measures, in order to better understand the AS phenotype. METHODS: The study sample consisted of 28 children with AS aged 2-18 years. We defined an outcome measure as feasible when (1) at least 70% of participants successfully finished the measurement and (2) at least 60% of those participants had acceptable data quality. Adaptations to the test procedure and reasons for early termination were noted. Parents rated acceptability and importance and were invited to make recommendations to increase feasibility. The results of the measures were explored. RESULTS: Outcome measures obtained with eye-tracking and BOD POD met the definition of feasibility, while fNIRS, indirect calorimetry, and BIA did not. The most important reasons for early termination of measurements were showing signs of protest, inability to sit still and poor/no calibration (eye-tracking specific). Post-calibration was often applied to obtain valid eye-tracking results. Parents rated the BOD POD als most acceptable and fNIRS as least acceptable for their child. All outcome measures were rated to be important. Exploratory results indicated longer reaction times to high salient visual stimuli (eye-tracking) as well as high body fat percentage (BOD POD). CONCLUSIONS: Eye-tracking and BOD POD are feasible measurement methods for children with AS. Eye-tracking was successfully used to assess visual orienting functions in the current study and (with some practical adaptations) can potentially be used to assess other outcomes as well. BOD POD was successfully used to examine body composition. TRIAL REGISTRATION: Registered d.d. 23-04-2020 under number 'NL8550' in the Dutch Trial Register: https://onderzoekmetmensen.nl/en/trial/23075. En ligne : https://dx.doi.org/10.1186/s11689-024-09516-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575 [article] Outcome measures in Angelman syndrome [texte imprimé] / Doesjka A. HAGENAAR, Auteur ; Karen G.C.B. BINDELS-DE HEUS, Auteur ; Maud M. VAN GILS, Auteur ; Louise VAN DEN BERG, Auteur ; Leontine W. TEN HOOPEN, Auteur ; Philine AFFOURTIT, Auteur ; Johan J.M. PEL, Auteur ; Koen F.M. JOOSTEN, Auteur ; Manon H.J. HILLEGERS, Auteur ; Henriette A. MOLL, Auteur ; Marie-Claire Y. DE WIT, Auteur ; Gwen C. DIELEMAN, Auteur ; Sabine E. MOUS, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 16 (2024) Mots-clés : Child  Humans  Angelman Syndrome/complications/diagnosis  Reproducibility of Results  Body Composition  Plethysmography/methods  Electric Impedance  Angelman syndrome  Bod pod  Bio-impedance analysis  Eye-tracking  Functional near-Infrared Spectroscopy  Indirect calorimetry  Outcome measures  hospital received funding for this study. The hospital also received compensation  for advice to Roche and Jazz Pharmaceuticals. The department of Child- and  Adolescent Psychiatry/Psychology (Erasmus MC) is the Dutch distributer of the  Achenbach System of Empirically Based Assessment (ASEBA) measurement instruments,  which include the Child Behaviour Checklist (CBCL). The department receives  financial compensation for selling the measurement instruments. All other authors  have no conflict of interest to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Angelman syndrome (AS) is a rare neurodevelopmental disorder characterized by severe intellectual disability, little to no expressive speech, visual and motor problems, emotional/behavioral challenges, and a tendency towards hyperphagia and weight gain. The characteristics of AS make it difficult to measure these children's functioning with standard clinical tests. Feasible outcome measures are needed to measure current functioning and change over time, in clinical practice and clinical trials. AIM: Our first aim is to assess the feasibility of several functional tests. We target domains of neurocognitive functioning and physical growth using the following measurement methods: eye-tracking, functional Near-Infrared Spectroscopy (fNIRS), indirect calorimetry, bio-impedance analysis (BIA), and BOD POD (air-displacement plethysmography). Our second aim is to explore the results of the above measures, in order to better understand the AS phenotype. METHODS: The study sample consisted of 28 children with AS aged 2-18 years. We defined an outcome measure as feasible when (1) at least 70% of participants successfully finished the measurement and (2) at least 60% of those participants had acceptable data quality. Adaptations to the test procedure and reasons for early termination were noted. Parents rated acceptability and importance and were invited to make recommendations to increase feasibility. The results of the measures were explored. RESULTS: Outcome measures obtained with eye-tracking and BOD POD met the definition of feasibility, while fNIRS, indirect calorimetry, and BIA did not. The most important reasons for early termination of measurements were showing signs of protest, inability to sit still and poor/no calibration (eye-tracking specific). Post-calibration was often applied to obtain valid eye-tracking results. Parents rated the BOD POD als most acceptable and fNIRS as least acceptable for their child. All outcome measures were rated to be important. Exploratory results indicated longer reaction times to high salient visual stimuli (eye-tracking) as well as high body fat percentage (BOD POD). CONCLUSIONS: Eye-tracking and BOD POD are feasible measurement methods for children with AS. Eye-tracking was successfully used to assess visual orienting functions in the current study and (with some practical adaptations) can potentially be used to assess other outcomes as well. BOD POD was successfully used to examine body composition. TRIAL REGISTRATION: Registered d.d. 23-04-2020 under number 'NL8550' in the Dutch Trial Register: https://onderzoekmetmensen.nl/en/trial/23075. En ligne : https://dx.doi.org/10.1186/s11689-024-09516-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575

The Development and Validation of a Subscale for the School-Age Child Behavior CheckList to Screen for Autism Spectrum Disorder / Julia E. OFFERMANS in Journal of Autism and Developmental Disorders, 53-3 (March 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-3 (March 2023) . - p.1034-1052 Titre : The Development and Validation of a Subscale for the School-Age Child Behavior CheckList to Screen for Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Julia E. OFFERMANS, Auteur ; Esther I. DE BRUIN, Auteur ; Aurelie M.C. LANGE, Auteur ; Christel M. MIDDELDORP, Auteur ; Laura W. WESSELDIJK, Auteur ; Dorret I. BOOMSMA, Auteur ; Gwen C. DIELEMAN, Auteur ; Susan M. BOGELS, Auteur ; Francisca J.A. VAN STEENSEL, Auteur Article en page(s) : p.1034-1052 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : The first aim of this study was to construct/validate a subscale-with cut-offs considering gender/age differences-for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N=1666) and clinician-expert (N=15) approaches. Further, we compared these to previously established CBCL ASD profiles/subscales and DSM-oriented subscales. The second aim was to cross-validate results in two truly independent samples (N=2445 and 886). Despite relatively low discriminative power of all subscales in the cross-validation samples, results indicated that the data-driven subscale had the best potential to screen for ASD and a similar screening potential as the DSM-oriented subscales. Given beneficial implications for pediatric/clinical practice, we encourage colleagues to continue the validation of this CBCL ASD subscale. En ligne : https://doi.org/10.1007/s10803-022-05465-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500 [article] The Development and Validation of a Subscale for the School-Age Child Behavior CheckList to Screen for Autism Spectrum Disorder [texte imprimé] / Julia E. OFFERMANS, Auteur ; Esther I. DE BRUIN, Auteur ; Aurelie M.C. LANGE, Auteur ; Christel M. MIDDELDORP, Auteur ; Laura W. WESSELDIJK, Auteur ; Dorret I. BOOMSMA, Auteur ; Gwen C. DIELEMAN, Auteur ; Susan M. BOGELS, Auteur ; Francisca J.A. VAN STEENSEL, Auteur . - p.1034-1052. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-3 (March 2023) . - p.1034-1052 Index. décimale : PER Périodiques Résumé : The first aim of this study was to construct/validate a subscale-with cut-offs considering gender/age differences-for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N=1666) and clinician-expert (N=15) approaches. Further, we compared these to previously established CBCL ASD profiles/subscales and DSM-oriented subscales. The second aim was to cross-validate results in two truly independent samples (N=2445 and 886). Despite relatively low discriminative power of all subscales in the cross-validation samples, results indicated that the data-driven subscale had the best potential to screen for ASD and a similar screening potential as the DSM-oriented subscales. Given beneficial implications for pediatric/clinical practice, we encourage colleagues to continue the validation of this CBCL ASD subscale. En ligne : https://doi.org/10.1007/s10803-022-05465-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500

The predictive capacity of psychiatric and psychological polygenic risk scores for distinguishing cases in a child and adolescent psychiatric sample from controls / Arija G. JANSEN in Journal of Child Psychology and Psychiatry, 62-9 (September 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-9 (September 2021) . - p.1079-1089 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 Auteurs : Arija G. JANSEN, Auteur ; Philip R. JANSEN, Auteur ; Jeanne E. SAVAGE, Auteur ; Julia KRAFT, Auteur ; Nora SKARABIS, Auteur ; Tinca J.C. POLDERMAN, Auteur ; Gwen 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 [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] / Arija G. JANSEN, Auteur ; Philip R. JANSEN, Auteur ; Jeanne E. SAVAGE, Auteur ; Julia KRAFT, Auteur ; Nora SKARABIS, Auteur ; Tinca J.C. POLDERMAN, Auteur ; Gwen 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

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