Compelling evidence in Caucasian populations suggests a role for copy-number variations (CNVs) in autism spectrum disorder (ASD) and schizophrenia (SCZ). We analyzed 1,108 ASD cases, 2,458 SCZ cases, and 2,095 controls in a Japanese population and confirmed an increased burden of rare exonic CNVs in both disorders. Clinically significant (or pathogenic) CNVs, including those at 29 loci common to both disorders, were found in about 8% of ASD and SCZ cases, which was significantly higher than in controls. Phenotypic analysis revealed an association between clinically significant CNVs and intellectual disability. Gene set analysis showed significant overlap of biological pathways in both disorders including oxidative stress response, lipid metabolism/modification, and genomic integrity. Finally, based on bioinformatics analysis, we identified multiple disease-relevant genes in eight well-known ASD/SCZ-associated CNV loci (e.g., 22q11.2, 3q29). Our findings suggest an etiological overlap of ASD and SCZ and provide biological insights into these disorders.
The autism spectrum condition (ASC) group scored significantly lower than controls on the EQ, and significantly higher on the SQ. Among both control groups, females scored significantly higher than males on the EQ, whilst males scored significantly higher than females on the SQ. The distribution of 'brain types', based on the difference between EQ and SQ scores, showed distinct profiles for people with ASC, control males and control females.
Although the DSM-IV diagnostic criteria for Attention Deficit/Hyperactivity Disorder (AD/HD) exclude Pervasive Developmental Disorder (PDD), some clinicians find that the two disorders can be comorbid and, in fact, make a dual diagnosis. Nevertheless, few empirical studies have investigated the clinical necessity for this practice. In the first of our two studies, children with high-functioning PDD were selected from among 520 outpatients. Of these, children also meeting the DSM-IV criteria for AD/HD were identified through a psychologist's observation, the completion of the ADHD-Rating Scale by parents and/or teachers, and a child psychiatrist's examination. We then examined the impact of PDD subtype and age on the co-occurrence rate. Study 2 analyzed comorbidity in two cases taken from Study 1. Of the 53 subjects in Study 1, 36 children also met the DSM-IV criteria for AD/HD. The co-occurrence rate for Asperger's Disorder (AS)/Pervasive Developmental Disorder, Not Otherwise Specified (PDDNOS) (85%) was significantly higher than for Autistic Disorder (57.6 %), and AD/HD symptoms were more common in younger children. Study 2 demonstrated the existence of comorbidity of PDD and AD/HD as separate disorders. We conclude not only that AD/HD symptoms occur frequently in children with PDD, but also that in some cases a dual diagnosis is essential to the implementation of effective treatment.
In the current study, the child AQ was administered in Japan, to examine whether the UK results for reliability and validity generalize to a different culture. Assessment groups were: Group 1: n = 81 children with Asperger Syndrome (AS) or high-functioning autism (HFA); Group 2: n = 22 children diagnosed PDD-NOS with average IQ; and Group 3: n = 372 randomly selected controls from primary and secondary schools. Both clinical groups scored significantly higher than controls (AS/HFA mean AQ = 31.9, SD = 6.93; PDD-NOS mean AQ = 28.0, SD = 6.88; controls mean AQ = 11.7, SD = 5.94). Among the controls, males scored significantly higher than females. The pattern of difference between clinical groups and controls was found to be similar in both countries.
To examine the inter-rater reliability of Autism Diagnostic Interview-Revised, Japanese Version (ADI-R-JV), the authors recruited 51 individuals aged 3-19 years, interviewed by two independent raters. Subsequently, to assess the discriminant and diagnostic validity of ADI-R-JV, the authors investigated 317 individuals aged 2-19 years, who were divided into three diagnostic groups as follows: autistic disorder (AD), pervasive developmental disorder not otherwise specified, and other psychiatric diagnosis or no diagnosis, according to the consensus clinical diagnosis. As regards inter-rater reliability, intraclass correlation coefficients of greater than 0.80 were obtained for all three domains of ADI-R-JV. As regards discriminant validity, the mean scores of the three domains was significantly higher in individuals with AD than in those of other diagnostic groups. As regards diagnostic validity, sensitivity and specificity for correctly diagnosing AD were 0.92 and 0.89, respectively, but sensitivity was 0.55 for individuals younger than 5 years. Specificity was consistently high regardless of age and intelligence. ADI-R-JV was shown to be a reliable tool, and has sufficient discriminant validity and satisfactory diagnostic validity for correctly diagnosing AD, although the diagnostic validity appeared to be compromised with respect to the diagnosis of younger individuals.
BackgroundRecently great attention has been paid to the still unmet clinical needs of most adults with autism spectrum disorder (ASD) who live in the community, an increasing number of whom visit psychiatric clinics to seek accurate diagnosis and treatment of concurrent psychiatric symptoms. However, different from the case of children diagnosed with ASD in childhood, it is difficult in adults to identify the ASD symptoms underlying psychopathology and to differentiate ASD from other psychiatric disorders in general psychiatric practice. This study aimed to verify the utility of the Social Responsiveness Scale-Adult version (SRS-A), a quantitative measure for identifying ASD symptoms, in non-clinical and clinical adult populations in Japan.MethodsThe total sample aged 19 to 59 years consisted of a non-clinical population (n =592) and clinical population with and without ASD (n =142). We examined score distributions of the Japanese version of the scale, and the effects of gender, age, and rater on the distribution. We analyzed factor structure and internal consistency in the non-clinical normative sample, and analyzed convergent, divergent, and discriminative validities in the clinical sample. We applied receiver operator characteristic (ROC) analysis to determine optimal cutoff scores discriminating the ASD clinical population from the non-ASD clinical population.ResultsThe score distributed continuously, which replicated findings in children. For non-clinical adults, except in men aged 19 to 24 years, we found no or few gender, age, or rater effects. Both single- and two-factor models were supported for adults. Total SRS-A scores demonstrated high internal consistency and capably discriminated adults with ASD from those with non-ASD psychiatric disorders such as major depressive disorder, schizophrenia, and bipolar disorder with an overlap across diagnoses. Moderate to high correlations of the SRS-A with other-rated ASD measures indicated sufficient convergent validity. Based on the ROC analysis, we recommend cutoff points by gender for use in clinical settings.ConclusionThis study provides additional supportive evidence that the Japanese version SRS-A can reliably and validly measure ASD symptoms in non-clinical and clinical adult populations, and thus can serve as a useful tool for ASD research as well as for secondary screening in Japanese adults.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.