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Hoyos, L.d.* ; Schlag, F.* ; Jahagirdar, S.* ; Corfield, E.* ; Allegrini, A.* ; Admiraal, D.* ; Zeeuw, E.d.* ; Nolte, I.* ; Llonga, N.* ; Neumann, A.* ; Lange, K.* ; Bedem, S.v.d.* ; Rietz, E.* ; Motazedi, E.* ; Eising, E.* ; Ng, N.Y.T.* ; Palviainen, T.* ; Wang, C.* ; Thiering, E. ; Scatolin, S.* ; Choudhary, P.* ; Vilor-Tejedor, N.* ; Liao, Z.* ; Alemany, S.* ; Pedersen, C.* ; Fernandez-Jimenez, N.* ; Campbell, M.* ; Girchenko, P.* ; Barthome, E.* ; Martin, L.C.* ; 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.V.* ; Järvelin, M.* ; Koopowitz, S.* ; Lake, M.T.* ; Lichtenstein, P.* ; Llop, S.* ; Luo, M.* ; Malmberg, A.* ; Marí, S.* ; Oldehinkel, A.J.* ; Pausová, Z.* ; Pennell, C.E.* ; Plomin, R.J.* ; Reichborn‐Kjennerud, T.* ; Reilly, S.* ; Rodriguez, A.* ; Rolland, T.* ; Ronald, A.* ; Räikkönen, K.* ; Shin, J.* ; Artigas, M.S.* ; Tate, A.* ; Tiemeier, H.W.* ; Verhoef, E.* ; Vuoksimaa, E.* ; Wake, M.A.* ; Warrier, V.* ; Ystrøm, E.* ; Bölte, S.* ; Ecker, C.* ; Bourgeron, T.* ; Lahti, J.M.T.* ; Stein, D.J.* ; Bilbao, J.R.* ; Bønnelykke, K.* ; Bustamante, M.* ; Paus, T.* ; Middeldorp, C.M.* ; Sunyer, J.* ; Sebert, S.P.* ; Standl, M. ; Whitehouse, A.* ; Kaprio, J.A.* ; Ramos‐Quiroga, J.A.* ; Ribasés, 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.S.*

Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: A meta-regression approach.

Nat. Hum. Behav., DOI: 10.1038/s41562-026-02551-z (2026)
Publ. Version/Full Text Research data DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Social behaviour is a heritable trait linked to well-being and mental health, yet it varies across social context, including social domains, informants and development, which may shape its underlying genomic architecture. Here, we conducted a genome-wide meta-regression meta-analysis of social behaviour from infancy to early adulthood, studying ~500,000 repeated measures in European-ancestry cohorts (N = 73,321). We modelled heterogeneity in single-variant associations across social domains (low prosocial behaviour and peer/social difficulties), multiple informants (parents, teachers and self-reports) and ages (2-29 years), identifying 6 associated loci, including variation within CADM2 (P = 2.51 × 10-9). Single nucleotide polymorphism-based heritability ranged from 2% to 7%, and the genetic architecture comprised 4 factors reflecting differences in either social domains or informants. Polygenic scores (N = 16,305) accurately predicted contextual variation in independent cohorts, with some cross-ancestry transferability. Context-specific patterns of genetic correlations, particularly when estimating the developmental onset of associations, offer opportunities to disentangle shared trajectories linking social behaviour with later-life and mental health outcomes.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Social Behaviour ; Behaviour Change ; Social Relation ; Social Influence ; Social Life
ISSN (print) / ISBN 2397-3374
e-ISSN 2397-3374
Journal Nature human behaviour
Publisher Nature Publishing Group
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology (EPI)