Analysis of common genetic variation across targets of microRNAs dysregulated both in ASD and epilepsy reveals negative correlation.

Genetic overlap involving rare disrupting mutations may contribute to high comorbidity rates between autism spectrum disorders and epilepsy. Despite their polygenic nature, genome-wide association studies have not reported a significant contribution of common genetic variation to comorbidity between both conditions. Analysis of common genetic variation affecting specific shared pathways such as miRNA dysregulation could help to elucidate the polygenic mechanisms underlying comorbidity between autism spectrum disorders and epilepsy. We evaluated here the role of common predisposing variation to autism spectrum disorders and epilepsy across target genes of 14 miRNAs selected through bibliographic research as being dysregulated in both disorders. We considered 4,581 target genes from various in silico sources. We described negative genetic correlation between autism spectrum disorders and epilepsy across variants located within target genes of the 14 miRNAs selected (p = 0.0228). Moreover, polygenic transmission disequilibrium test on an independent cohort of autism spectrum disorders trios (N = 233) revealed an under-transmission of autism spectrum disorders predisposing alleles within miRNAs' target genes across autism spectrum disorders trios without comorbid epilepsy, thus reinforcing the negative relationship at the common genetic variation between both traits. Our study provides evidence of a negative relationship between autism spectrum disorders and epilepsy at the common genetic variation level that becomes more evident when focusing on the miRNA regulatory networks, which contrasts with observed clinical comorbidity and results from rare variation studies. Our findings may help to conceptualize the genetic heterogeneity and the comorbidity with epilepsy in autism spectrum disorders.

Link between cognitive polygenic risk scores and clinical progression after a first-psychotic episode.

BACKGROUND: Clinical intervention in early stages of psychotic disorders is crucial for the prevention of severe symptomatology trajectories and poor outcomes. Genetic variability is studied as a promising modulator of prognosis, thus novel approaches considering the polygenic nature of these complex phenotypes are required to unravel the mechanisms underlying the early progression of the disorder. METHODS: The sample comprised of 233 first-episode psychosis (FEP) subjects with clinical and cognitive data assessed periodically for a 2-year period and 150 matched controls. Polygenic risk scores (PRSs) for schizophrenia, bipolar disorder, depression, education attainment and cognitive performance were used to assess the genetic risk of FEP and to characterize their association with premorbid, baseline and progression of clinical and cognitive status. RESULTS: Schizophrenia, bipolar disorder and cognitive performance PRSs were associated with an increased risk of FEP [false discovery rate (FDR) ⩽ 0.027]. In FEP patients, increased cognitive PRSs were found for FEP patients with more cognitive reserve (FDR ⩽ 0.037). PRSs reflecting a genetic liability for improved cognition were associated with a better course of symptoms, functionality and working memory (FDR ⩽ 0.039). Moreover, the PRS of depression was associated with a worse trajectory of the executive function and the general cognitive status (FDR ⩽ 0.001). CONCLUSIONS: Our study provides novel evidence of the polygenic bases of psychosis and its clinical manifestation in its first stage. The consistent effect of cognitive PRSs on the early clinical progression suggests that the mechanisms underlying the psychotic episode and its severity could be partially independent.

Oxytocin Exposure in Labor and its Relationship with Cognitive Impairment and the Genetic Architecture of Autism.

Whether there is a relationship between oxytocin (OXT) use in labor and the risk of autism (ASD), and the nature of such relationship, is unclear. By integrating genetic and clinical data in a sample of 176 ASD participants, we tested the hypothesis that OXT is a marker for abnormal prenatal development which leads to impairments in the process of labor. OXT-exposed ASD had more obstetric complications (P = 0.031), earlier onset of symptoms (P = 0.027), poorer cognitive development (P = 0.011), higher mutation burden across neurodevelopment genes (P = 0.020; OR = 5.33) and lower transmission of polygenic risk for ASD (P = 0.0319), than non-exposed ASD. OXT seems to constitute a risk indicator rather than a risk factor for ASD, which is relevant for diagnostic and genetic counselling.

Metabolic polygenic risk scores effect on antipsychotic-induced metabolic dysregulation: A longitudinal study in a first episode psychosis cohort.

OBJECTIVE: Metabolic syndrome is a health-threatening condition suffered by approximately one third of schizophrenia patients and largely attributed to antipsychotic medication. Previous evidence reports a common genetic background of psychotic and metabolic disorders. In this study, we aimed to assess the role of polygenic risk scores (PRSs) on the progression of the metabolic profile in a first-episode psychosis (FEP) cohort. METHOD: Of the 231 FEP individuals included in the study, 192-220 participants were included in basal analysis and 118-179 in longitudinal 6-month models. Eleven psychopathologic and metabolic PRSs were constructed. Basal and longitudinal PRSs association with metabolic measurements was assessed by statistical analyses. RESULTS: No major association of psychopathological PRSs with the metabolic progression was found. However, high risk individuals for depression and cholesterol-related PRSs reported a higher increase of cholesterol levels during the follow-up (FDR ≤ 0.023 for all analyses). Their effect was comparable to other well-established pharmacological and environmental risk factors (explaining at least 1.2% of total variance). CONCLUSION: Our findings provide new evidence of the effects of metabolic genetic risk on the development of metabolic dysregulation. The future establishment of genetic profiling tools in clinical procedures could enable practitioners to better personalize antipsychotic treatment selection and dosage.

Characterisation of the clinical phenotype in Phelan-McDermid syndrome.

BACKGROUND: Phelan-McDermid syndrome (PMS) is a rare genetic disorder compromising the 22q13 terminal region and affecting SHANK3, a gene crucial to the neurobehavioural phenotype and strongly linked to autism (ASD) and intellectual disability (ID). The condition is characterised by global developmental delay, ID, speech impairments, hypotonia and autistic behaviours, although its presentation and symptom severity vary widely. In this study, we provide a thorough description of the behavioural profile in PMS and explore differences related to deletion size and language ability. METHODS: We used standard clinical assessment instruments to measure altered behaviour, adaptive skills and autistic symptomatology in sixty participants with PMS (30 females, median age 8.5 years, SD=7.1). We recorded background information and other clinical manifestations and explored associations with deletion size. We performed descriptive and inferential analyses for group comparison. RESULTS: We found delayed gross and fine motor development, delayed and impaired language (~70% of participants non or minimally verbal), ID of different degrees and adaptive functioning ranging from severe to borderline impairment. Approximately 40% of participants experienced developmental regression, and half of those regained skills. Autistic symptoms were frequent and variable in severity, with a median ADOS-2 CSS score of 6 for every domain. Sensory processing anomalies, hyperactivity, attentional problems and medical comorbidities were commonplace. The degree of language and motor development appeared to be associated with deletion size. CONCLUSIONS: This study adds to previous research on the clinical descriptions of PMS and supports results suggesting wide variability of symptom severity and its association with deletion size. It makes the case for suitable psychotherapeutic and pharmacological approaches, for longitudinal studies to strengthen our understanding of possible clinical courses and for more precise genomic analysis.

The Positive and Negative Syndrome Scale for Schizophrenia Autism Severity Scale (PAUSS) in young people with autism and schizophrenia / Escala PAUSS (escala de gravedad del autismo derivada de la PANSS - escala de síndrome positivo y negativo para la esquizofrenia) en una muestra de jóvenes con autismo y esquizofrenia

INTRODUCTION: Schizophrenia spectrum disorders (SSD) share symptoms with autism spectrum disorders (ASD). Autistic phenotypic profiles in SSD may be associated with a poor prognosis. We aimed to assess the evidences for reliability and convergent validity of the Positive and Negative Syndrome Scale for Schizophrenia (PANSS) Autism Severity Scale (PAUSS) in a sample of young people with ASD and SSD, and to use the PAUSS to explore correlates of "autistic profiles" in the SSD sample. MATERIALS AND METHODS: ASD (n=33, age=13-27 years) and SSD subjects (n=26, age=16-35 years) underwent PANSS, Autism Diagnostic Observation Schedule-Generic (ADOS-G), Autism Diagnostic Interview-Revised (ADI-R), and Social Responsiveness Scale (SRS) assessments. We derived PAUSS total/domain scores from the PANSS and applied these back-to-back with ADOS calibrated severity scores (CSS), ADI-R current behavior algorithm (CBA) scores, and SRS scores. RESULTS: Our results show evidence for an acceptable PAUSS score reliability and convergent validity both in the ASD and SSD samples. PAUSS total and socio-communication scores significantly correlated with ADOS Overall/Social Affect CSS, both in ASD and in SSD. SSD with higher PAUSS scores ("autistic-SSD") showed Overall/Social Affect CSS scores positioned in between ASD and "non-autistic SSD". The PAUSS total score was significantly associated with global functioning in SSD (adjusted R2=0.311). CONCLUSIONS: There seems to be evidence for the reliability and validity of PAUSS scores for quantifying autism symptom severity transdiagnostically and to identify "autistic phenotypes" in adolescents/young adults with SSD

INTRODUCCIÓN: Los trastornos del espectro de la esquizofrenia (TEE) comparten síntomas con los trastornos del espectro del autismo (TEA). En individuos con TEE, perfiles fenotípicos "autistas" parecen estar asociados con un peor pronóstico. Nuestro objetivo fue evaluar la evidencia de fiabilidad y validez convergente de la PAUSS (escala de gravedad del autismo derivada de la escala de síndrome positivo y negativo para la esquizofrenia [PANSS]) en una muestra de jóvenes con TEA y TEE, y utilizar la PAUSS para explorar correlatos de "perfiles autistas" en la muestra de TEE. MATERIALES Y MÉTODOS: En sujetos con TEA (n = 33, edad = 13-27 años) y TEE (n = 26, edad = 16-35 años) se llevaron a cabo las siguientes evaluaciones: la PANSS, la Escala de Observación para el Diagnóstico del Autismo - Genérica (ADOS-G), la Entrevista para el Diagnóstico del Autismo-Revisada (ADI-R), y la Escala de Sensibilidad Social (SRS). Se derivaron de la PANSS las puntuaciones totales/dominio de la PAUSS y se correlacionaron con las puntaciones CSS (gravedad total calibrada) del ADOS, con las puntuaciones del algoritmo de comportamiento actual (CBA) del ADI-R y con las puntuaciones de la SRS. RESULTADOS: Nuestros resultados muestran una evidencia de fiabilidad y validez convergente de la PAUSS aceptables tanto en la muestra TEA como en la TEE. Las puntuaciones totales y del dominio social-comunicación de la PAUSS correlacionaban positiva y significativamente con las puntuaciones CSS total y afectividad social, respectivamente, tanto en la muestra TEA como en la TEE. Los individuos TEE con puntuaciones PAUSS más elevadas ("TEE autistas") mostraban puntuaciones CSS total y afectividad social situadas entre las de los individuos TEA y los "TEE-no autistas". En individuos TEE, la puntuación total PAUSS mostraba una asociación significativa con el funcionamiento global (R2 ajustado = 0.311). CONCLUSIONES: Parece haber evidencia de fiabilidad y validez de las puntuaciones de la PAUSS para cuantificar la gravedad de sintomatología autista a nivel transdiagnóstico, así como para identificar "fenotipos autistas" en adolescentes / adultos jóvenes con TEE

Episignatures Stratifying Helsmoortel-Van Der Aa Syndrome Show Modest Correlation with Phenotype.

Helsmoortel-Van der Aa syndrome (HVDAS) is a neurodevelopmental condition associated with intellectual disability/developmental delay, autism spectrum disorder, and multiple medical comorbidities. HVDAS is caused by mutations in activity-dependent neuroprotective protein (ADNP). A recent study identified genome-wide DNA methylation changes in 22 individuals with HVDAS, adding to the group of neurodevelopmental disorders with an epigenetic signature. This methylation signature segregated those with HVDAS into two groups based on the location of the mutations. Here, we conducted an independent study on 24 individuals with HVDAS and replicated the existence of the two mutation-dependent episignatures. To probe whether the two distinct episignatures correlate with clinical outcomes, we used deep behavioral and neurobiological data from two prospective cohorts of individuals with a genetic diagnosis of HVDAS. We found limited phenotypic differences between the two HVDAS-affected groups and no evidence that individuals with more widespread methylation changes are more severely affected. Moreover, in spite of the methylation changes, we observed no profound alterations in the blood transcriptome of individuals with HVDAS. Our data warrant caution in harnessing methylation signatures in HVDAS as a tool for clinical stratification, at least with regard to behavioral phenotypes.

Psychiatric comorbidities in Asperger syndrome are related with polygenic overlap and differ from other Autism subtypes.

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.

The Positive and Negative Syndrome Scale for Schizophrenia Autism Severity Scale (PAUSS) in young people with autism and schizophrenia.

INTRODUCTION: Schizophrenia spectrum disorders (SSD) share symptoms with autism spectrum disorders (ASD). Autistic phenotypic profiles in SSD may be associated with a poor prognosis. We aimed to assess the evidences for reliability and convergent validity of the Positive and Negative Syndrome Scale for Schizophrenia (PANSS) Autism Severity Scale (PAUSS) in a sample of young people with ASD and SSD, and to use the PAUSS to explore correlates of "autistic profiles" in the SSD sample. MATERIALS AND METHODS: ASD (n=33, age=13-27 years) and SSD subjects (n=26, age=16-35 years) underwent PANSS, Autism Diagnostic Observation Schedule-Generic (ADOS-G), Autism Diagnostic Interview-Revised (ADI-R), and Social Responsiveness Scale (SRS) assessments. We derived PAUSS total/domain scores from the PANSS and applied these back-to-back with ADOS calibrated severity scores (CSS), ADI-R current behavior algorithm (CBA) scores, and SRS scores. RESULTS: Our results show evidence for an acceptable PAUSS score reliability and convergent validity both in the ASD and SSD samples. PAUSS total and socio-communication scores significantly correlated with ADOS Overall/Social Affect CSS, both in ASD and in SSD. SSD with higher PAUSS scores ("autistic-SSD") showed Overall/Social Affect CSS scores positioned in between ASD and "non-autistic SSD". The PAUSS total score was significantly associated with global functioning in SSD (adjusted R2=0.311). CONCLUSIONS: There seems to be evidence for the reliability and validity of PAUSS scores for quantifying autism symptom severity transdiagnostically and to identify "autistic phenotypes" in adolescents/young adults with SSD.

Examining Gene-Environment Interactions Using Aggregate Scores in a First-Episode Psychosis Cohort.

Gene-environment (GxE) interactions have been related to psychosis spectrum disorders, involving multiple common genetic variants in multiple genes with very small effect sizes, and several environmental factors that constitute a dense network of exposures named the exposome. Here, we aimed to analyze GxE in a cohort of 310 first-episode psychotic (FEP) and 236 healthy controls, by using aggregate scores estimated in large populations such as the polygenic risk score for schizophrenia and (PRS-SCZ) and the Maudsley environmental risk score (ERS). In contrast to previous findings, in our study, the PRS-SCZ did not discriminate cases from controls, but the ERS score explained a similar percentage of the variance as in other studies using similar approaches. Our study supports a positive additive interaction, indicating synergy between genetic susceptibility to schizophrenia (PRS-SCZ dichotomized according to the highest quartile distribution of the control population) and the exposome (ERS > 75% of the controls). This additive interaction showed genetic and environmental dose dependence. Our study shows that the use of aggregate scores derived from large and powered studies instead of statistics derived from specific sample characteristics is a powerful tool for the study of the effects of GxE on the risk of psychotic spectrum disorders. In conclusion, by using a genetic risk score and an ERS we have provided further evidence for the role of GxE in psychosis.