Genetic association study of childhood aggression across raters, instruments, and age
dc.authorid | Morosoli, Jose J./0000-0003-3959-403X | |
dc.authorid | Heinrich, Joachim/0000-0002-9620-1629 | |
dc.authorid | Allegrini, Andrea/0000-0003-4048-4292 | |
dc.authorid | Lu, Yi/0000-0001-9933-3654 | |
dc.authorid | Johansson, Stefan/0000-0002-2298-7008 | |
dc.authorid | Davey Smith, George/0000-0002-1407-8314 | |
dc.authorid | Vuoksimaa, Eero/0000-0002-6534-3667 | |
dc.contributor.author | Ip, Hill F. | |
dc.contributor.author | van der Laan, Camiel M. | |
dc.contributor.author | Krapohl, Eva M. L. | |
dc.contributor.author | Brikell, Isabell | |
dc.contributor.author | Sanchez-Mora, Cristina | |
dc.contributor.author | Nolte, Ilja M. | |
dc.contributor.author | St Pourcain, Beate | |
dc.date.accessioned | 2024-09-29T16:01:01Z | |
dc.date.available | 2024-09-29T16:01:01Z | |
dc.date.issued | 2021 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association metaanalysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE= 0.0038). We found no genome-wide significant SNPs for AGG(overall). The gene-based analysis returned three significant genes: ST3GAL3 (P= 1.6E-06), PCDH7 (P= 2.0E-06), and IPO13 (P= 2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from r(g)= 0.46 between self- and teacher-assessment to r(g)d= 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range r(g): 0.19-1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (r(g)=-0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range |r(g)| : 0.46-0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG. | en_US |
dc.description.sponsorship | European Union [602768]; Aggression in Children: Unraveling gene-environment interplay to inform Treatment and InterventiON strategies project (ACTION); MRC [MC_UU_00011/1] Funding Source: UKRI | en_US |
dc.description.sponsorship | We very warmly thank all participants, their parents, and teachers for making this study possible. The project was supported by the Aggression in Children: Unraveling gene-environment interplay to inform Treatment and InterventiON strategies project (ACTION). ACTION received funding from the European Union Seventh Framework Program (FP7/2007-2013) under grant agreement no 602768. Cohortspecific acknowledgements and funding information may be found in the Supplementary text. | en_US |
dc.identifier.doi | 10.1038/s41398-021-01480-x | |
dc.identifier.issn | 2158-3188 | |
dc.identifier.issue | 1 | en_US |
dc.identifier.pmid | 34330890 | en_US |
dc.identifier.scopus | 2-s2.0-85111704583 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1038/s41398-021-01480-x | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/5494 | |
dc.identifier.volume | 11 | en_US |
dc.identifier.wos | WOS:000679719900001 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springernature | en_US |
dc.relation.ispartof | Translational Psychiatry | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Genome-Wide Association | en_US |
dc.subject | Trajectories | en_US |
dc.subject | Heritability | en_US |
dc.subject | Adolescence | en_US |
dc.subject | Disorder | en_US |
dc.subject | Behavior | en_US |
dc.subject | Origins | en_US |
dc.title | Genetic association study of childhood aggression across raters, instruments, and age | en_US |
dc.type | Article | en_US |