Genome-wide analysis of social behaviour in context: a meta-regression approach across social domains, reporters and developmental stages
Lucía de HoyosiD, Fenja SchlagiD, Sanjeevan JahagirdariD, Elizabeth C. CorfieldiD, Andrea G. AllegriniiD, Danielle Admiraal, Eveline L. de ZeeuwiD, Ilja Maria NolteiD, Natalia LlongaiD, Alexander NeumanniD, Katherine LangeiD, Simone van den BedemiD, Ebba Du RietziD, Ehsan MotazediiD, Else EisingiD, Nicole Ying Ting NgiD, Teemu PalviaineniD, Carol A. WangiD, Elisabeth ThieringiD, Sofia ScatoliniD, Priyanka ChoudharyiD, Natàlia Vilor‐TejedoriD, Zhijie LiaoiD, Silvia AlemanyiD, Casper‐Emil Tingskov PederseniD, , Beaté St PourcainiD
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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