Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: a meta-regression approach
Abstract
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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BibTeX
@article{hoyos2026genomewide,
title = {{Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: a meta-regression approach}},
author = {Lucía de Hoyos and Fenja Schlag and Sanjeevan Jahagirdar and Elizabeth C Corfield and Andrea G Allegrini and Danielle Admiraal and Eveline L de Zeeuw and Ilja M Nolte and Natalia Llonga and Alexander Neumann and Katherine Lange and Simone van den Bedem and Ebba Du Rietz and Ehsan Motazedi and Else Eising and Nicole y T Ng and Teemu Palviainen and Carol A Wang and Elisabeth Thiering and Sofia Scatolin and Priyanka Choudhary and Natalia Vilor-Tejedor and Zhijie Liao and Silvia Alemany and Casper-Emil T Pedersen and Nora Fernandez-Jimenez and Megan L Campbell and Polina Girchenko and Eli Barthome and L Caitlin Martin and Hanna Seelemeyer and Afsheen Kumar and Alexandre Jeanne and Tarunveer S Ahluwalia and Melissa H Black and Jan K Buitelaar and Simon E Fisher and Anni Heiskala and María Hernández-Lorca and Vincent W Jaddoe and Marjo-Riitta Järvelin and Sheri-Michelle Koopowitz and Marilyn T Lake and Paul Lichtenstein and Sabrina Llop and Mannan Luo and Anni Malmberg and Sergi Marí and Albertine J Oldehinkel and Zdenka Pausova and Craig E Pennell and Robert Plomin and Ted Reichborn-Kjennerud and Sheena Reilly and Alina Rodriguez and Thomas Rolland and Angelica Ronald and Katri Räikkönen and Jean Shin and María Soler Artigas},
journal = {Nature Human Behaviour},
year = {2026},
month = sep,
doi = {10.1038/s41562-026-02551-z},
url = {https://pasteur.hal.science/pasteur-05757054v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Genome-wide analysis of social behaviour across social domains, reporters and developmental stages: a meta-regression approach
AU - Lucía de Hoyos
AU - Fenja Schlag
AU - Sanjeevan Jahagirdar
AU - Elizabeth C Corfield
AU - Andrea G Allegrini
AU - Danielle Admiraal
AU - Eveline L de Zeeuw
AU - Ilja M Nolte
AU - Natalia Llonga
AU - Alexander Neumann
AU - Katherine Lange
AU - Simone van den Bedem
AU - Ebba Du Rietz
AU - Ehsan Motazedi
AU - Else Eising
AU - Nicole y T Ng
AU - Teemu Palviainen
AU - Carol A Wang
AU - Elisabeth Thiering
AU - Sofia Scatolin
AU - Priyanka Choudhary
AU - Natalia Vilor-Tejedor
AU - Zhijie Liao
AU - Silvia Alemany
AU - Casper-Emil T Pedersen
AU - Nora Fernandez-Jimenez
AU - Megan L Campbell
AU - Polina Girchenko
AU - Eli Barthome
AU - L Caitlin Martin
AU - Hanna Seelemeyer
AU - Afsheen Kumar
AU - Alexandre Jeanne
AU - Tarunveer S Ahluwalia
AU - Melissa H Black
AU - Jan K Buitelaar
AU - Simon E Fisher
AU - Anni Heiskala
AU - María Hernández-Lorca
AU - Vincent W Jaddoe
AU - Marjo-Riitta Järvelin
AU - Sheri-Michelle Koopowitz
AU - Marilyn T Lake
AU - Paul Lichtenstein
AU - Sabrina Llop
AU - Mannan Luo
AU - Anni Malmberg
AU - Sergi Marí
AU - Albertine J Oldehinkel
AU - Zdenka Pausova
AU - Craig E Pennell
AU - Robert Plomin
AU - Ted Reichborn-Kjennerud
AU - Sheena Reilly
AU - Alina Rodriguez
AU - Thomas Rolland
AU - Angelica Ronald
AU - Katri Räikkönen
AU - Jean Shin
AU - María Soler Artigas
PY - 2026
DA - 2026/09/21
JO - Nature Human Behaviour
DO - 10.1038/s41562-026-02551-z
UR - https://pasteur.hal.science/pasteur-05757054v1
AB - 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.
SN - 2397-3374
SN - 2397-3374
ER -