Please use this identifier to cite or link to this item: https://dora.health.qld.gov.au/qldresearchjspui/handle/1/11898
Title: Genome-wide analysis of social behaviour in context: a meta-regression approach across social domains, reporters and developmental stages
Authors: de Hoyos, L.;Schlag, F.;Jahagirdar, S.;Corfield, E. C.;Allegrini, A. G.;Admiraal, D. A. G.;de Zeeuw, E. L.;Nolte, I. M.;Llonga, N.;Neumann, A.;Lange, K.;van den Bedem, S.;Du Rietz, E.;Motazedi, E.;Eising, E.;Ng, N. Y. T.;Palviainen, T.;Wang, C. A.;Thiering, E.;Scatolin, S.;Choudhary, P.;Vilor-Tejedor, N.;Liao, Z.;Alemany, S.;Pedersen, C. E. T.;Fernandez-Jimenez, N.;Campbell, M. L.;Girchenko, P.;Barthome, E.;Seelemeyer, H.;Kumar, A.;Jeanne, A.;Ahluwalia, T. S.;Black, M. H.;Buitelaar, J. K.;Fisher, S. E.;Heiskala, A.;Hernández-Lorca, M.;Jaddoe, V. W.;Järvelin, M. R.;Koopowitz, S. M.;Lake, M. T.;Lichtenstein, P.;Llop, S.;Luo, M.;Malmberg, A.;Marí, S. ;Oldehinkel, A. J.;Pausova, Z.;Pennell, C. E.;Plomin, R.;Reichborn-Kjennerud, T.;Reilly, S. ;Rodriguez, A.;Rolland, T.;Ronald, A.;Räikkönen, K.;Shin, J.;Artigas, M. S.;Tate, A. E.;Tiemeier, H.;Verhoef, E.;Vuoksimaa, E.;Wake, M.;Warrier, V.;Ystrom, E.;Bölte, S.;Ecker, C.;Bourgeron, T.;Lahti, J.;Stein, D. J.;Bilbao, J. R.;Bønnelykke, K.;Bustamante, M.;Paus, T.;Middeldorp, C. M. ;Sunyer, J.;Sebert, S.;Standl, M.;Whitehouse, A. J. O. ;Kaprio, J.;Ramos-Quiroga, J. A.;Ribases, M.;Casas, M.;Bosch, R.;Morgan, A. T.;Vrijkotte, T. G. M.;Larsson, H.;Cecil, C. A. M.;Hartman, C. A.;Boomsma, D. I.;Rimfeld, K.;Havdahl, A.;Pourcain, B. St
Issue Date: 2025
Source: bioRxiv, 2025 (de Hoyos L.; Schlag F.; Jahagirdar S.; Admiraal D.A.G.; van den Bedem S.; Eising E.; Ng N.Y.T.; Scatolin S.; Fisher S.E.; Verhoef E.; Pourcain B.St., beate.stpourcain@mpi.nl) Language and Genetics department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
Journal Title: bioRxiv
Abstract: Social behaviour is a heritable, context-dependent trait that changes across social settings and development, influencing wellbeing and mental health. We present the first genome-wide meta-regression study of social behaviour from infancy to early adulthood, leveraging 491,246 repeat measures of low prosocial behaviour and peer/social difficulties in European-ancestry cohorts (Neff=121,777, Nind=73,321). We modelled heterogeneity in genetic effects across social domains, informants, and ages (2–29 years), capturing social context through genomic influences. Six loci were identified, including variation within CADM2 (p=2.51x10-9). The SNP-based heritability was modest (2–7%), and the genetic architecture of social behaviour multidimensional. Polygenic scores demonstrated predictability and accuracy in independent European-ancestry cohorts and, partially, in African-ancestry cohorts (Nind=16,305). Genetic correlations with later-life and mental health outcomes showed context-dependent patterns. Modelling predicted onsets of associations with social behaviour revealed distinct profiles, as observed for autism, ADHD, depression and schizophrenia, highlighting novel opportunities to genetically proxy developmental trajectories.
DOI: 10.1101/2025.08.16.667148
Resources: https://www.embase.com/search/results?subaction=viewrecord&id=L2040410900&from=export
http://dx.doi.org/10.1101/2025.08.16.667148
Type: Preprint
Appears in Sites:Children's Health Queensland Publications
Queensland Health Publications

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