Dissecting the polygenic contribution of attention-deficit/hyperactivity disorder and autism spectrum disorder on school performance by their relationship with educational attainment

Author:

Cabana-Domínguez JuditORCID,Bosch Rosa,Soler Artigas MaríaORCID,Alemany SilviaORCID,Llonga NataliaORCID,Vilar-Ribó LauraORCID,Carabí-Gassol Pau,Arribas Lorena,Macias-Chimborazo Valeria,Español-Martín Gemma,del Castillo Clara,Martínez Laura,Pagerols Mireia,Pagespetit Èlia,Prat Raquel,Puigbó Julia,Ramos-Quiroga Josep Antoni,Casas Miquel,Ribasés MartaORCID

Abstract

AbstractAttention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorders (ASD) are strongly associated with educational attainment (EA), but little is known about their genetic relationship with school performance and whether these links are explained, in part, by the genetic liability of EA. Here, we aim to dissect the polygenic contribution of ADHD and ASD to school performance, early manifestation of psychopathology and other psychiatric disorders and related traits by their relationship with EA. To do so, we tested the association of polygenic scores for EA, ADHD and ASD with school performance, assessed whether the contribution of the genetic liability of ADHD and ASD to school performance is influenced by the genetic liability of EA, and evaluated the role of EA in the genetic overlap between ADHD and ASD with early manifestation of psychopathology and other psychiatric disorders and related traits in a sample of 4,278 school-age children. The genetic liability for ADHD and ASD dissected by their relationship with EA show differences in their association with school performance and early manifestation of psychopathology, partly mediated by ADHD and ASD symptoms. Genetic variation with concordant effects in ASD and EA contributes to better school performance, while the genetic variation with discordant effects in ADHD or ASD and EA is associated with poor school performance and higher rates of emotional and behavioral problems. Our results strongly support the usage of the genetic load for EA to dissect the genetic and phenotypic heterogeneity of ADHD and ASD, which could help to fill the gap of knowledge of mechanisms underlying educational outcomes.

Publisher

Springer Science and Business Media LLC

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