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Get Free AccessABSTRACT 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 (N eff =121,777, N ind =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 (N ind =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.
Robert Plomin, Ted Reichborn‐Kjennerud, Sheena Reilly, Alina Rodriguez, Thomas Rolland, Angelica Ronald, Katri Räikkönen, Jean Shin, María Soler Artigas, Ashley Tate, Henning Tiemeier, Ellen Verhoef, Eero Vuoksimaa, Melissa Wake, Varun Warrier, Eivind Ystrøm, Sven Bölte, Christine Ecker, Thomas Bourgeron, Jari Lahti, Dan J. Stein, José Ramón Bilbao, Klaus Bønnelykke, Mariona Bustamante, Tomáš Paus, Christel M. Middeldorp, Jordi Sunyer, Sylvain Sebért, Marie Standl, Andrew Whitehouse, Jaakko Kaprio, Josep Antoni Ramos‐Quiroga, Marta Ribasés, Miguel Casas, Rosa Bosch, Angela Morgan, Tanja G. M. Vrijkotte, Henrik Larsson, Charlotte A. M. Cecil, Catharina A. Hartman, Dorret I. Boomsma, Kaili Rimfeld, Alexandra Havdahl, Beaté St Pourcain, Lucía de Hoyos, Fenja Schlag, Sanjeevan Jahagirdar, Elizabeth C. Corfield, Andrea G. Allegrini, Danielle Admiraal, Eveline L. de Zeeuw, Ilja M. Nolte, Natalia Llonga, Alexander Neumann, Katherine Lange, Simone van den Bedem, Ebba Du Rietz, Ehsan Motazedi, Else Eising, Nicole Y.T. Ng, Teemu Palviainen, Carol A. Wang, Elisabeth Thiering, Sofia Scatolin, Priyanka Choudhary, Natàlia Vilor‐Tejedor, Zhijie Liao, Silvia Alemany, Casper‐Emil Tingskov Pedersen, Nora Fernández‐Jiménez, Megan L. Campbell, Polina Girchenko, Eli Barthome, Hanna Seelemeyer, Afsheen Yousaf, A. Robert Jeanne, Tarunveer S. Ahluwalia, Melissa H. Black, Jan K. Buitelaar, Simon E. Fisher, Anni Heiskala, María Hernández‐Lorca, Vincent W. V. Jaddoe, Paul M Ridker, Sheri‐Michelle Koopowitz, Marilyn T. Lake, Paul Lichtenstein, Sabrina Llop, Mannan Luo, Anni Malmberg, Sergi Marí, Albertine J. Oldehinkel, Zdenka Pausová, Craig E. Pennell (2025). Genome-wide analysis of social behaviour in context: a meta-regression approach across social domains, reporters and developmental stages. , DOI: https://doi.org/10.1101/2025.08.16.667148.
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Type
Preprint
Year
2025
Authors
94
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1101/2025.08.16.667148
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