Beate St Pourcain

Preprints

  • Li, T., Shahisavandi, M., Askelund, A. D., Pool, R., Verhoef, E., Müller, S., Rohm, T., Lahti-Pulkkinen, M., Frank, J., Zillich, E., Pahnke, C., Schowe, A., Tuhkanen, J., Fortaner-Uyà, L., Vai, B., Benedetti, F., Forstner, A. J., Czamara, D., Kandler, C., Gilles, M. Li, T., Shahisavandi, M., Askelund, A. D., Pool, R., Verhoef, E., Müller, S., Rohm, T., Lahti-Pulkkinen, M., Frank, J., Zillich, E., Pahnke, C., Schowe, A., Tuhkanen, J., Fortaner-Uyà, L., Vai, B., Benedetti, F., Forstner, A. J., Czamara, D., Kandler, C., Gilles, M., Witt, S. H., de Vries, L., Boomsma, D. I., Bartels, M., Räikkönen, K., Ask, H., Andreassen, O. A., Pingault, J.-B., St Pourcain, B., Cecil, C. A. M., Havdahl, A. K. S., Neumann, A., & Lahti, J. (2026). Direct and indirect genetic effects of parental liabilities to mental health conditions and related traits on children’s behavioural difficulties: A multi-cohort study. medRxiv: the preprint server for health sciences. doi:10.64898/2026.02.10.26345985.

    Abstract

    Background Parental genetics matters for children’s behavioural difficulties, but the extent to which this is due to direct genetic transmission versus environmentally mediated indirect genetic effects remains unclear. Methods We studied eight European birth cohorts with over 33,000 family-based trio samples. We analysed polygenic scores (PGSs) for 13 mental health and neurodevelopmental conditions and their composite indices (PC1 and mean) representing general neuropsychiatric liabilities, as well as educational attainment (EA) and alcohol and cigarette use, from children (PGSc), mothers (PGSm), and fathers. Child internalising, externalising, and total difficulties reported by mothers and/or fathers were examined at preschool and school ages. We then conducted multivariate meta-analyses to combine cohort-level results. Findings We observed several direct genetic effects on externalising difficulties, while indirect genetic influences were mainly identified for internalising difficulties. Specifically, child PGSs for attention-deficit/hyperactivity disorder (ADHD) and EA predicted higher and lower levels, respectively, of child externalising and total difficulties (all pFDR<0·001; for school-aged externalising difficulties, PGSc-ADHD: β=0·121 [95% CI 0·091 to 0·151], pFDR<0·0001; PGSc-EA: β=−0·095 [95% CI −0·127 to −0·063], pFDR<0·0001), whereas maternal PGSs for major depressive disorder (MDD) and general neuropsychiatric liabilities were associated with internalising and total difficulties across parental raters and child ages (all pFDR<0·05; for school-aged internalising difficulties, PGSm-MDD: β=0·049 [95% CI 0·017 to 0·081], pFDR=0·016; PGSm-PC1: β=0·056 [95% CI 0·022 to 0·091], pFDR=0·011). No statistically significant effects from paternal PGSs were identified. Interpretation In this multi-cohort study, findings across multiple traits, raters, and ages supported several direct genetic effects of ADHD and EA on child externalising difficulties and indirect genetic effects on internalising difficulties, especially maternal depression and general neuropsychiatric liabilities. These suggest that child internalising difficulties are not solely driven by direct genetic transmission. More comprehensive research is needed to better understand the mechanisms involved, and ultimately how to ameliorate child behavioural difficulties.

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  • de Hoyos, L., Schlag, F., Jahagirdar, S., Corfield, E. C., Allegrini, A. G., Admiraal, D., de Zeeuw, E. L., Nolte, I. M., Llonga, N., Neumann, A., Lange, K., van den Bedem, S., Rietz, E. D., Motazedi, E., Eising, E., Ng, N., Palviainen, T., Wang, C. A., Thiering, E., Scatolin, S. de Hoyos, L., Schlag, F., Jahagirdar, S., Corfield, E. C., Allegrini, A. G., Admiraal, D., de Zeeuw, E. L., Nolte, I. M., Llonga, N., Neumann, A., Lange, K., van den Bedem, S., Rietz, E. D., Motazedi, E., Eising, E., Ng, N., 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, 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., & St Pourcain, B. (2025). Genome-wide analysis of social behaviour in context: A meta-regression approach across social domains, reporters and developmental stages. bioRxiv. doi:10.1101/2025.08.16.667148.

    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.

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