A1 Journal article (refereed)
Harmonizing behavioral outcomes across studies, raters, and countries : application to the genetic analysis of aggression in the ACTION Consortium (2020)


Luningham, Justin M.; Hendriks, Anne M.; Krapohl, Eva; Fung Ip, Hill; van Beijsterveldt, Catharina E.M.; Lundström, Sebastian; Vuoksimaa, Eero; Korhonen, Tellervo; Lichtenstein, Paul et al. (2020). Harmonizing behavioral outcomes across studies, raters, and countries : application to the genetic analysis of aggression in the ACTION Consortium. Journal of Child Psychology and Psychiatry, 61 (7), 807-817. DOI: 10.1111/jcpp.13188


JYU authors or editors


Publication details

All authors or editors: Luningham, Justin M.; Hendriks, Anne M.; Krapohl, Eva; Fung Ip, Hill; van Beijsterveldt, Catharina E.M.; Lundström, Sebastian; Vuoksimaa, Eero; Korhonen, Tellervo; Lichtenstein, Paul; Plomin, Robert; et al.

Journal or series: Journal of Child Psychology and Psychiatry

ISSN: 0021-9630

eISSN: 1469-7610

Publication year: 2020

Volume: 61

Issue number: 7

Pages range: 807-817

Publisher: Wiley-Blackwell Publishing Ltd.

Publication country: United Kingdom

Publication language: English

DOI: http://doi.org/10.1111/jcpp.13188

Open Access: Publication channel is not openly available


Abstract

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.


Keywords: aggressions; phenotype; developmental psychology; psychopathology

Free keywords: aggression; developmental psychopathology; twin modeling; integrative data analysis; phenotype reference panel


Contributing organizations


Ministry reporting: Yes

Preliminary JUFO rating: 3


Last updated on 2020-15-07 at 09:50