Rachel Hundley

Microdeletion/duplication at 15q13.2q13.3 among individuals with features of autism and other neuropsychiatric disorders

Background: Segmental duplications at breakpoints (BP4–BP5) of chromosome 15q13.2q13.3 mediate a recurrent genomic imbalance syndrome associated with mental retardation, epilepsy, and/or electroencephalogram (EEG) abnormalities. Patients: DNA samples from 1445 unrelated patients submitted consecutively for clinical array comparative genomic hybridisation (CGH) testing at Children’s Hospital Boston and DNA samples from 1441 individuals with autism from 751 families in the Autism Genetic Resource Exchange (AGRE) repository. Results: We report the clinical features of five patients with a BP4–BP5 deletion, three with a BP4–BP5 duplication, and two with an overlapping but smaller duplication identified by whole genome high resolution oligonucleotide array CGH. These BP4–BP5 deletion cases exhibit minor dysmorphic features, significant expressive language deficits, and a spectrum of neuropsychiatric impairments that include autism spectrum disorder, attention deficit hyperactivity disorder, anxiety disorder, and mood disorder. Cognitive impairment varied from moderate mental retardation to normal IQ with learning disability. BP4–BP5 covers ∼1.5 Mb (chr15:28.719–30.298 Mb) and includes six reference genes and 1 miRNA gene, while the smaller duplications cover ∼500 kb (chr15:28.902–29.404 Mb) and contain three reference genes and one miRNA gene. The BP4–BP5 deletion and duplication events span CHRNA7, a candidate gene for seizures. However, none of these individuals reported here have epilepsy, although two have an abnormal EEG. Conclusions: The phenotype of chromosome 15q13.2q13.3 BP4–BP5 microdeletion/duplication syndrome may include features of autism spectrum disorder, a variety of neuropsychiatric disorders, and cognitive impairment. Recognition of this broader phenotype has implications for clinical diagnostic testing and efforts to understand the underlying aetiology of this syndrome.

A Multisite Study of the Clinical Diagnosis of Different Autism Spectrum Disorders

CONTEXT Best-estimate clinical diagnoses of specific autism spectrum disorders (autistic disorder, pervasive developmental disorder-not otherwise specified, and Asperger syndrome) have been used as the diagnostic gold standard, even when information from standardized instruments is available. OBJECTIVE To determine whether the relationships between behavioral phenotypes and clinical diagnoses of different autism spectrum disorders vary across 12 university-based sites. DESIGN Multisite observational study collecting clinical phenotype data (diagnostic, developmental, and demographic) for genetic research. Classification trees were used to identify characteristics that predicted diagnosis across and within sites. SETTING Participants were recruited through 12 university-based autism service providers into a genetic study of autism. PARTICIPANTS A total of 2102 probands (1814 male probands) between 4 and 18 years of age (mean [SD] age, 8.93 [3.5] years) who met autism spectrum criteria on the Autism Diagnostic Interview-Revised and the Autism Diagnostic Observation Schedule and who had a clinical diagnosis of an autism spectrum disorder. MAIN OUTCOME MEASURE Best-estimate clinical diagnoses predicted by standardized scores from diagnostic, cognitive, and behavioral measures. RESULTS Although distributions of scores on standardized measures were similar across sites, significant site differences emerged in best-estimate clinical diagnoses of specific autism spectrum disorders. Relationships between clinical diagnoses and standardized scores, particularly verbal IQ, language level, and core diagnostic features, varied across sites in weighting of information and cutoffs. CONCLUSIONS Clinical distinctions among categorical diagnostic subtypes of autism spectrum disorders were not reliable even across sites with well-documented fidelity using standardized diagnostic instruments. Results support the move from existing subgroupings of autism spectrum disorders to dimensional descriptions of core features of social affect and fixated, repetitive behaviors, together with characteristics such as language level and cognitive function.

Deletions of NRXN1 (Neurexin-1) Predispose to a Wide Spectrum of Developmental Disorders

Research has implicated mutations in the gene for neurexin‐1 (NRXN1) in a variety of conditions including autism, schizophrenia, and nicotine dependence. To our knowledge, there have been no published reports describing the breadth of the phenotype associated with mutations in NRXN1. We present a medical record review of subjects with deletions involving exonic sequences of NRXN1. We ascertained cases from 3,540 individuals referred clinically for comparative genomic hybridization testing from March 2007 to January 2009. Twelve subjects were identified with exonic deletions. The phenotype of individuals with NRXN1 deletion is variable and includes autism spectrum disorders, mental retardation, language delays, and hypotonia. There was a statistically significant increase in NRXN1 deletion in our clinical sample compared to control populations described in the literature (P = 8.9 × 10−7). Three additional subjects with NRXN1 deletions and autism were identified through the Homozygosity Mapping Collaborative for Autism, and this deletion segregated with the phenotype. Our study indicates that deletions of NRXN1 predispose to a wide spectrum of developmental disorders.

Cognitive and behavioral characterization of 16p11.2 deletion syndrome.

Objective: To describe cognitive and behavioral features of patients with chromosome 16p11.2 deletion syndrome, a recently identified and common genetic cause of neurodevelopmental disability, especially autism spectrum disorder (ASD). Method: Twenty-one patients with 16p11.2 deletion were evaluated by medical record review. A subset of 11 patients consented to detailed cognitive, behavioral, and autism diagnostic assessment. Results: Patients with 16p11.2 deletion had varying levels of intellectual disability, variable adaptive skills, and a high incidence of language delay. Attention issues were not as frequent as had been reported in previous clinical reports. Atypical language, reduced social skills, and maladaptive behaviors were common, as was diagnosis of ASD. Based on medical record review, 7 of 21 patients (33%) had an ASD diagnosis. Among patients receiving detailed phenotyping, 3 of 11 (27%) met full criteria (met cutoff scores on both Autism Diagnostic Observation Schedule and Autism Diagnostic Interview) for an ASD diagnosis, whereas 6 other patients (55%) met criteria for ASD on either the Autism Diagnostic Observation Schedule or the Autism Diagnostic Interview, but not both measures. Conclusions: Rates of ASD were similar to previous reports that are based on medical record reviews, but formal assessment revealed that a majority of patients with 16p11.2 deletion demonstrate features of ASD beyond simple language impairment. All patients with 16p11.2 deletion should receive formal neurodevelopmental evaluation including measures to specifically assess cognitive, adaptive, language, and psychiatric/behavioral issues. Clinical evaluation of this patient population should always include assessment by Autism Diagnostic Interview and Autism Diagnostic Observation Schedule to detect behaviors related to ASD and possible ASD diagnosis.

Characteristics and Predictive Value of Blood Transcriptome Signature in Males with Autism Spectrum Disorders

Autism Spectrum Disorders (ASD) is a spectrum of highly heritable neurodevelopmental disorders in which known mutations contribute to disease risk in 20% of cases. Here, we report the results of the largest blood transcriptome study to date that aims to identify differences in 170 ASD cases and 115 age/sex-matched controls and to evaluate the utility of gene expression profiling as a tool to aid in the diagnosis of ASD. The differentially expressed genes were enriched for the neurotrophin signaling, long-term potentiation/depression, and notch signaling pathways. We developed a 55-gene prediction model, using a cross-validation strategy, on a sample cohort of 66 male ASD cases and 33 age-matched male controls (P1). Subsequently, 104 ASD cases and 82 controls were recruited and used as a validation set (P2). This 55-gene expression signature achieved 68% classification accuracy with the validation cohort (area under the receiver operating characteristic curve (AUC): 0.70 [95% confidence interval [CI]: 0.62–0.77]). Not surprisingly, our prediction model that was built and trained with male samples performed well for males (AUC 0.73, 95% CI 0.65–0.82), but not for female samples (AUC 0.51, 95% CI 0.36–0.67). The 55-gene signature also performed robustly when the prediction model was trained with P2 male samples to classify P1 samples (AUC 0.69, 95% CI 0.58–0.80). Our result suggests that the use of blood expression profiling for ASD detection may be feasible. Further study is required to determine the age at which such a test should be deployed, and what genetic characteristics of ASD can be identified.

The behavioral phenotype in MECP2 duplication syndrome: a comparison with idiopathic autism.

Alterations in the X‐linked gene MECP2 encoding the methyl‐CpG‐binding protein 2 have been linked to autism spectrum disorders (ASDs). Most recently, data suggest that overexpression of MECP2 may be related to ASD. To better characterize the relevance of MECP2 overexpression to ASD‐related behaviors, we compared the core symptoms of ASD in MECP2 duplication syndrome to nonverbal mental age‐matched boys with idiopathic ASD. Within the MECP2 duplication group, we further delineated aspects of the behavioral phenotype and also examined how duplication size and gene content corresponded to clinical severity. We compared ten males with MECP2 duplication syndrome (ages 3–10) with a chronological and mental age‐matched sample of nine nonverbal males with idiopathic ASD. Our results indicate that boys with MECP2 duplication syndrome share the core behavioral features of ASD (e.g. social affect, restricted/repetitive behaviors). Direct comparisons of ASD profiles revealed that a majority of boys with MECP2 duplication syndrome are similar to idiopathic ASD; they have impairments in social affect (albeit to a lesser degree than idiopathic ASD) and similar severity in restricted/repetitive behaviors. Nonverbal mental age did not correlate with severity of social impairment or repetitive behaviors. Within the MECP2 duplication group, breakpoint size does not predict differences in clinical severity. In addition to social withdrawal and stereotyped behaviors, we also found that hyposensitivity to pain/temperature are part of the behavioral phenotype of MECP2 duplication syndrome. Our results illustrate that overexpression/increased dosage of MECP2 is related to core features of ASD. Autism Res 2012, ●●: ●●–●●.

Expression of the Broad Autism Phenotype in Simplex Autism Families from the Simons Simplex Collection

The broad autism phenotype (BAP) refers to the phenotypic expression of an underlying genetic liability to autism, manifest in non-autistic relatives. This study examined the relationship among the Broad Autism Phenotype Questionnaire (BAPQ), Social Responsiveness Scale: Adult Research Version (SRS:ARV), and Family History Interview (FHI) in a large, multi-site study of 1,650 simplex families (Simons Simplex Collection). Correlations between the BAPQ and SRS:ARV Total scores were moderate, and correlations between FHI ratings and SRS:ARV and BAPQ were significant but weak. Overall, the results suggested that BAP traits occur at low rates in simplex families, and rates vary significantly depending upon the measure utilized. Implications include the need for multiple informants, and the assessment of distinct BAP traits in large-scale genetic studies of individuals with ASD.

A pilot study to improve venipuncture compliance in children and adolescents with autism spectrum disorders.

Objective: Medical procedures, particularly venipuncture (the puncture of a vein especially for the withdrawal of blood), can cause serious distress and behavior disturbance for many children. Noncompliance to blood draws can have significant ramifications in both research and clinical settings. The negative reactions may be exacerbated in individuals with autism spectrum disorders. Even so, there has been little research into the prevalence of the problem or effective intervention procedures. In response to these concerns, we developed and evaluated the Blood Draw Intervention Program. The program was designed to be easy to use, require little provider or family time, effectively reduce negative behaviors, and increase blood draw compliance. Method: In a quasi-randomized trial over the course of ∼18 months, 58 of 210 families with children with autism spectrum disorders participating in a larger study of phenotypic and genotypic factors reported significant concerns about blood draws and elected to use the Blood Draw Intervention Program. Results: Completion of the program increased blood draw compliance rates from 85.4% to 96.6% (odds ratio = 4.80; 95% confidence interval = 1.12, 20.59; p = .03). Conclusion: Results indicate the efficacy of the program in a research setting and suggest a potential clinical application. The current intervention, unlike many others for the same or similar difficulties proposed in the past, was successful without requiring extensive time, training, or effort on the part of providers and parents or their children, nor did it require large-scale institutional changes.

Brief Report: Regression Timing and Associated Features in MECP2 Duplication Syndrome

The aim of this study was to determine the frequency, timing, and associated features of developmental regression in MECP2 duplication syndrome. We also examined whether duplication size was associated with regression. Comprehensive psychological evaluations were used to assess 17 boys with MECP2 duplication syndrome. Information about regression was gathered via parent report. Eight of 17 boys exhibited regression in language skills, while seven of 17 exhibited regression in other skill areas. Regression in “other skill” areas coincided with seizure onset and with a prior autism diagnosis in six of seven participants. Regression was not associated with duplication size. Questions remain as to why some boys regress, and future work is necessary to understand the underlying mechanism(s) that causes regression.

Characterizing Sleep in Adolescents and Adults with Autism Spectrum Disorders

We studied 28 adolescents/young adults with autism spectrum disorders (ASD) and 13 age/sex matched individuals of typical development (TD). Structured sleep histories, validated questionnaires, actigraphy (4 weeks), and salivary cortisol and melatonin (4 days each) were collected. Compared to those with TD, adolescents/young adults with ASD had longer sleep latencies and more difficulty going to bed and falling asleep. Morning cortisol, evening cortisol, and the morning-evening difference in cortisol did not differ by diagnosis (ASD vs. TD). Dim light melatonin onsets (DLMOs) averaged across participants were not different for the ASD and TD participants. Average participant scores indicated aspects of poor sleep hygiene in both groups. Insomnia in ASD is multifactorial and not solely related to physiological factors.