Content, diagnostic, correlational, and genetic similarities between common measures of childhood aggressive behaviors and related psychiatric traits / Anne M. HENDRIKS in Journal of Child Psychology and Psychiatry, 61-12 (December 2020)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1328-1338 Titre : Content, diagnostic, correlational, and genetic similarities between common measures of childhood aggressive behaviors and related psychiatric traits Type de document : Texte imprimé et/ou numérique Auteurs : Anne M. HENDRIKS, Auteur ; Hill F IP, Auteur ; Michel G. NIVARD, Auteur ; Catrin FINKENAUER, Auteur ; Catharina E. M. VAN BEIJSTERVELDT, Auteur ; Meike BARTELS, Auteur ; Dorret I. BOOMSMA, Auteur Article en page(s) : p.1328-1338 Langues : Anglais (eng) Mots-clés : Childhood aggressive behavior  clinical concordance  genetic correlation  item overlap Index. décimale : PER Périodiques Résumé : BACKGROUND: Given the role of childhood aggressive behavior (AGG) in everyday child development, precise and accurate measurement is critical in clinical practice and research. This study aims to quantify agreement among widely used measures of childhood AGG regarding item content, clinical concordance, correlation, and underlying genetic construct. METHODS: We analyzed data from 1254 Dutch twin pairs (age 8-10 years, 51.1% boys) from a general population sample for whom both parents completed the A-TAC, CBCL, and SDQ at the same occasion. RESULTS: There was substantial variation in item content among AGG measures, ranging from .00 (i.e., mutually exclusive) to .50 (moderate agreement). Clinical concordance (i.e., do the same children score above a clinical threshold among AGG measures) was very weak to moderate with estimates ranging between .01 and .43 for mother-reports and between .12 and .42 for father-reports. Correlations among scales were weak to strong, ranging from .32 to .70 for mother-reports and from .32 to .64 for father-reports. We found weak to very strong genetic correlations among the measures, with estimates between .65 and .84 for mother-reports and between .30 and .87 for father-reports. CONCLUSIONS: Our results demonstrated that degree of agreement between measures of AGG depends on the type (i.e., item content, clinical concordance, correlation, genetic correlation) of agreement considered. Because agreement was higher for correlations compared to clinical concordance (i.e., above or below a clinical cutoff), we propose the use of continuous scores to assess AGG, especially for combining data with different measures. Although item content can be different and agreement among observed measures may not be high, the genetic correlations indicate that the underlying genetic liability for childhood AGG is consistent across measures. En ligne : http://dx.doi.org/10.1111/jcpp.13218 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 [article] Content, diagnostic, correlational, and genetic similarities between common measures of childhood aggressive behaviors and related psychiatric traits [Texte imprimé et/ou numérique] / Anne M. HENDRIKS, Auteur ; Hill F IP, Auteur ; Michel G. NIVARD, Auteur ; Catrin FINKENAUER, Auteur ; Catharina E. M. VAN BEIJSTERVELDT, Auteur ; Meike BARTELS, Auteur ; Dorret I. BOOMSMA, Auteur . - p.1328-1338. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1328-1338 Mots-clés : Childhood aggressive behavior  clinical concordance  genetic correlation  item overlap Index. décimale : PER Périodiques Résumé : BACKGROUND: Given the role of childhood aggressive behavior (AGG) in everyday child development, precise and accurate measurement is critical in clinical practice and research. This study aims to quantify agreement among widely used measures of childhood AGG regarding item content, clinical concordance, correlation, and underlying genetic construct. METHODS: We analyzed data from 1254 Dutch twin pairs (age 8-10 years, 51.1% boys) from a general population sample for whom both parents completed the A-TAC, CBCL, and SDQ at the same occasion. RESULTS: There was substantial variation in item content among AGG measures, ranging from .00 (i.e., mutually exclusive) to .50 (moderate agreement). Clinical concordance (i.e., do the same children score above a clinical threshold among AGG measures) was very weak to moderate with estimates ranging between .01 and .43 for mother-reports and between .12 and .42 for father-reports. Correlations among scales were weak to strong, ranging from .32 to .70 for mother-reports and from .32 to .64 for father-reports. We found weak to very strong genetic correlations among the measures, with estimates between .65 and .84 for mother-reports and between .30 and .87 for father-reports. CONCLUSIONS: Our results demonstrated that degree of agreement between measures of AGG depends on the type (i.e., item content, clinical concordance, correlation, genetic correlation) of agreement considered. Because agreement was higher for correlations compared to clinical concordance (i.e., above or below a clinical cutoff), we propose the use of continuous scores to assess AGG, especially for combining data with different measures. Although item content can be different and agreement among observed measures may not be high, the genetic correlations indicate that the underlying genetic liability for childhood AGG is consistent across measures. En ligne : http://dx.doi.org/10.1111/jcpp.13218 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434

Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium / Justin M. LUNINGHAM in Journal of Child Psychology and Psychiatry, 61-7 (July 2020)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 61-7 (July 2020) . - p.807-817 Titre : Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium Type de document : Texte imprimé et/ou numérique Auteurs : Justin M. LUNINGHAM, Auteur ; Anne M. HENDRIKS, Auteur ; Eva KRAPOHL, Auteur ; Hill FUNG IP, Auteur ; Catharina E. M. VAN BEIJSTERVELDT, Auteur ; Sebastian LUNDSTROM, Auteur ; Eero VUOKSIMAA, Auteur ; Tellervo KORHONEN, Auteur ; Paul LICHTENSTEIN, Auteur ; Robert PLOMIN, Auteur ; Lea PULKKINEN, Auteur ; Richard J. ROSE, Auteur ; Jaakko KAPRIO, Auteur ; Meike BARTELS, Auteur ; Dorret I. BOOMSMA, Auteur ; Gitta H. LUBKE, Auteur Article en page(s) : p.807-817 Langues : Anglais (eng) Mots-clés : Aggression  developmental psychopathology  integrative data analysis  phenotype reference panel  twin modeling Index. décimale : PER Périodiques Résumé : BACKGROUND: Aggression in children has genetic and environmental causes. Studies of aggression can pool existing datasets to include more complex models of social effects. Such analyses require large datasets with harmonized outcome measures. Here, we made use of a reference panel for phenotype data to harmonize multiple aggression measures in school-aged children to jointly analyze data from five large twin cohorts. METHODS: Individual level aggression data on 86,559 children (42,468 twin pairs) were available in five European twin cohorts measured by different instruments. A phenotypic reference panel was collected which enabled a model-based phenotype harmonization approach. A bi-factor integration model in the integrative data analysis framework was developed to model aggression across studies while adjusting for rater, age, and sex. Finally, harmonized aggression scores were analyzed to estimate contributions of genes, environment, and social interaction to aggression. The large sample size allowed adequate power to test for sibling interaction effects, with unique dynamics permitted for opposite-sex twins. RESULTS: The best-fitting model found a high level of overall heritability of aggression (~60%). Different heritability rates of aggression across sex were marginally significant, with heritability estimates in boys of ~64% and ~58% in girls. Sibling interaction effects were only significant in the opposite-sex twin pairs: the interaction effect of males on their female co-twin differed from the effect of females on their male co-twin. An aggressive female had a positive effect on male co-twin aggression, whereas more aggression in males had a negative influence on a female co-twin. CONCLUSIONS: Opposite-sex twins displayed unique social dynamics of aggressive behaviors in a joint analysis of a large, multinational dataset. The integrative data analysis framework, applied in combination with a reference panel, has the potential to elucidate broad, generalizable results in the investigation of common psychological traits in children. En ligne : http://dx.doi.org/10.1111/jcpp.13188 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429 [article] Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium [Texte imprimé et/ou numérique] / Justin M. LUNINGHAM, Auteur ; Anne M. HENDRIKS, Auteur ; Eva KRAPOHL, Auteur ; Hill FUNG IP, Auteur ; Catharina E. M. VAN BEIJSTERVELDT, Auteur ; Sebastian LUNDSTROM, Auteur ; Eero VUOKSIMAA, Auteur ; Tellervo KORHONEN, Auteur ; Paul LICHTENSTEIN, Auteur ; Robert PLOMIN, Auteur ; Lea PULKKINEN, Auteur ; Richard J. ROSE, Auteur ; Jaakko KAPRIO, Auteur ; Meike BARTELS, Auteur ; Dorret I. BOOMSMA, Auteur ; Gitta H. LUBKE, Auteur . - p.807-817. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 61-7 (July 2020) . - p.807-817 Mots-clés : Aggression  developmental psychopathology  integrative data analysis  phenotype reference panel  twin modeling Index. décimale : PER Périodiques Résumé : BACKGROUND: Aggression in children has genetic and environmental causes. Studies of aggression can pool existing datasets to include more complex models of social effects. Such analyses require large datasets with harmonized outcome measures. Here, we made use of a reference panel for phenotype data to harmonize multiple aggression measures in school-aged children to jointly analyze data from five large twin cohorts. METHODS: Individual level aggression data on 86,559 children (42,468 twin pairs) were available in five European twin cohorts measured by different instruments. A phenotypic reference panel was collected which enabled a model-based phenotype harmonization approach. A bi-factor integration model in the integrative data analysis framework was developed to model aggression across studies while adjusting for rater, age, and sex. Finally, harmonized aggression scores were analyzed to estimate contributions of genes, environment, and social interaction to aggression. The large sample size allowed adequate power to test for sibling interaction effects, with unique dynamics permitted for opposite-sex twins. RESULTS: The best-fitting model found a high level of overall heritability of aggression (~60%). Different heritability rates of aggression across sex were marginally significant, with heritability estimates in boys of ~64% and ~58% in girls. Sibling interaction effects were only significant in the opposite-sex twin pairs: the interaction effect of males on their female co-twin differed from the effect of females on their male co-twin. An aggressive female had a positive effect on male co-twin aggression, whereas more aggression in males had a negative influence on a female co-twin. CONCLUSIONS: Opposite-sex twins displayed unique social dynamics of aggressive behaviors in a joint analysis of a large, multinational dataset. The integrative data analysis framework, applied in combination with a reference panel, has the potential to elucidate broad, generalizable results in the investigation of common psychological traits in children. En ligne : http://dx.doi.org/10.1111/jcpp.13188 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429

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