Psychiatric comorbidities in Asperger syndrome are related with polygenic overlap and differ from other Autism subtypes
Year: 2020
Type: article
Study design: Observational Study
Abstract: There is great phenotypic heterogeneity within autism spectrum disorders (ASD), which has led to question their classification into a single diagnostic category. The study of the common genetic variation in ASD has suggested a greater contribution of other psychiatric conditions in Asperger syndrome (AS) than in the rest of the DSM-IV ASD subtypes (Non_AS). Here, using available genetic data from previously performed genome-wide association studies (GWAS), we aimed to study the genetic overlap between five of the most related disorders (schizophrenia (SCZ), major depression disorder (MDD), attention deficit hyperactivity disorder (ADHD), obsessive-compulsive disorders (OCD) and anxiety (ANX)), and AS, comparing it with the overlap in Non_AS subtypes. A Spanish cohort of autism trios (N = 371) was exome sequenced as part of the Autism Sequencing Consortium (ASC) and 241 trios were extensively characterized to be diagnosed with AS following DSM-IV and Gillberg’s criteria (N = 39) or not (N = 202). Following exome imputation, polygenic risk scores (PRS) were calculated for ASD, SCZ, ADHD, MDD, ANX, and OCD (from available summary data from Psychiatric Genomic Consortium (PGC) repository) in the Spanish trios’ cohort. By using polygenic transmission disequilibrium test (pTDT), we reported that risk for SCZ (Pscz = 0.008, corrected-PSCZ = 0.0409), ADHD (PADHD = 0.021, corrected-PADHD = 0.0301), and MDD (PMDD = 0.039, corrected-PMDD = 0.0501) is over-transmitted to children with AS but not to Non_AS. Indeed, agnostic clustering procedure with deviation values from pTDT tests suggested two differentiated clusters of subjects, one of which is significantly enriched in AS (P = 0.025). Subsequent analysis with S-Predixcan, a recently developed software to predict gene expression from genotype data, revealed a clear pattern of correlation between cortical gene expression in ADHD and AS (P < 0.001) and a similar strong correlation pattern between MDD and AS, but also extendable to another non-brain tissue such as lung (P < 0.001). Altogether, these results support the idea of AS being qualitatively distinct from Non_AS autism and consistently evidence the genetic overlap between AS and ADHD, MDD, or SCZ.
Source: Translational Psychiatry
Institutions: Centro de Investigación Biomédica en Red de Salud Mental, Centro de Investigación Biomédica en Red, Instituto de Investigación Sanitaria Gregorio Marañón, Instituto de Investigación Sanitaria de Santiago, Universidade de Santiago de Compostela, Center for Research in Molecular Medicine and Chronic Diseases, Universidad Complutense de Madrid
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $4,290
Funders: Fundación Instituto de Investigación Sanitaria de Santiago de Compostela, Instituto de Investigación Sanitaria de Santiago de Compostela, European Commission, Ministerio de Ciencia e Innovación, Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Investigación Sanitaria Gregorio Marañón, Universidade de Santiago de Compostela, Horizon 2020 Framework Programme, Instituto de Salud Carlos III, European Regional Development Fund
Awards: Biotipos en Trastornos del Espectro Autista: relación con evolución clínica y respuesta a fármacos, G2017605187, Estudio de vías fisiopatológicas diferenciales asociadas a fenotipos distintivos en una muestra de 200 pacientes con Trastornos del Espectro Autista, G2628364946, G3559709381, G4937468798, G6085964217, G6487627205, G8824911526
OpenAlex ID: W3045957874
