Continuity of Genetic Risk for Aggressive Behavior Across the Life-Course

Camiel M van der Laan; José J Morosoli-García; Steve G A van de Weijer; Lucía Colodro-Conde; Michelle K Lupton; Brittany L Mitchell; Kerrie McAloney; Richard Parker; Jane M Burns; Ian B Hickie; René Pool; Jouke-Jan Hottenga; Nicholas G Martin; Sarah E Medland; Michel G Nivard; Dorret I Boomsma; ACTION Consortium; Allison Miller; Joseph Boden; John Pearson; John Horwood; Martin Kennedy; Richie Graham Poulton

doi:10.1007/s10519-021-10076-6

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Continuity of Genetic Risk for Aggressive Behavior Across the Life-Course

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Continuity of Genetic Risk for Aggressive Behavior Across the Life-Course

Camiel M van der Laan, José J Morosoli-García, Steve G A van de Weijer, Lucía Colodro-Conde, Michelle K Lupton, Brittany L Mitchell, Kerrie McAloney, Richard Parker, Jane M Burns, Ian B Hickie, …

Behavior genetics, Vol.51(5), pp.592-606

01/09/2021

DOI: https://doi.org/10.1007/s10519-021-10076-6

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https://hdl.handle.net/10523/43950

Appears in The Dunedin Study

Abstract

Aggression

Aggressive behavior

Development

Life-course

Polygenic score

Rolling weights

We test whether genetic influences that explain individual differences in aggression in early life also explain individual differences across the life-course. In two cohorts from The Netherlands (N = 13,471) and Australia (N = 5628), polygenic scores (PGSs) were computed based on a genome-wide meta-analysis of childhood/adolescence aggression. In a novel analytic approach, we ran a mixed effects model for each age (Netherlands: 12-70 years, Australia: 16-73 years), with observations at the focus age weighted as 1, and decaying weights for ages further away. We call this approach a 'rolling weights' model. In The Netherlands, the estimated effect of the PGS was relatively similar from age 12 to age 41, and decreased from age 41-70. In Australia, there was a peak in the effect of the PGS around age 40 years. These results are a first indication from a molecular genetics perspective that genetic influences on aggressive behavior that are expressed in childhood continue to play a role later in life.

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Record Identifier: 9926659826801891
Title: Continuity of Genetic Risk for Aggressive Behavior Across the Life-Course
Creators: Camiel M van der Laan
José J Morosoli-García
Steve G A van de Weijer
Lucía Colodro-Conde
Michelle K Lupton
Brittany L Mitchell
Kerrie McAloney
Richard Parker
Jane M Burns
Ian B Hickie
René Pool
Jouke-Jan Hottenga
Nicholas G Martin
Sarah E Medland
Michel G Nivard
Dorret I Boomsma
ACTION Consortium
Allison Miller
Joseph Boden
John Pearson
John Horwood
Martin Kennedy
Richie Graham Poulton
Publication Details: Behavior genetics, Vol.51(5), pp.592-606
Academic Unit: Pathology and Molecular Medicine (UOC); Dunedin Multidisciplinary Health and Development Research Unit (DMHDRU); Psychological Medicine (UOC)
Publisher: Springer Nature
Grant note: CvdL was supported by the Amsterdam Law and Behavior Institute (A-LAB; Vrije Universtiteit, Amsterdam). SvdW was suppported by NWO-grant 451-16-014. Data collection was made possible by multiple grants from The Netherlands Organization for Scientific Research (NWO): 575-25-006, 480-04-004, 904-61-090, 904-61-193, 400-05-717, 311-60008, SPI 56-464-14192 and the Avera Institute for Human Genetics. We gratefully acknowledge grant NWO 480-15-001/674: Netherlands Twin Registry Repository: researching the interplay between genome and environment. MGN is supported by ZonMw grant: ‘Genetics as a research tool: a natural experiment to elucidate the causal effects of social mobility on health’ (pnr: 531003014) and ZonMw project: ‘Can sex- and gender-specific gene expression and epigenetics explain sex-differences in disease prevalence and etiology?’ (pnr: 849200011). Data collection in the Australian sample was made possible by multiple grants from NHMRC (APP1069141) and the John Templeton Foundation (Genetics and Human Agency Project). The 16UP study was supported by the Young and Well Cooperative Research Centre, which was established and funded under the Australian Government’s Cooperative Research Centres Program. The Prospective Imaging Study of Aging: Genes, Brain and Behaviour (PISA) is funded by a National Health and Medical Research Council (NHMRC) Boosting Dementia Research Initiative—Team Grant (APP1095227). Genome-wide SNP genotyping data for PISA participants is sourced from several genetic epidemiology studies led by NGM (with colleagues and collaborators) at QIMR Berghofer and elsewhere over the past 40 years. Principal sources of funding for these early studies were from grants to NGM from Australian NHMRC and to Andrew Heath and Pam Madden (Washington University, St Louis) from NIH (mainly NIAAA and NIDA) and we gratefully acknowledge these contributions. JJM was supported by a QIMR Berghofer International PhD Scholarship. LC-C was supported by a QIMR Berghofer Research Fellowship. SEM and NGM were funded by NHMRC investigator grants (APP1172917 and APP1172990).
Date published ; e-published: 01/09/2021
Copyright: Copyright © The Author(s) 2021. This work was first published in Behavior Genetics (Springer Nature). This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://www.creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, provided that the original work is properly attributed to the creator(s) and the source, a link to the Creative Commons license is provided, and any changes made are indicated.
Language: English
Resource Type ; Subtype: Journal article