ArticleNeuroinformatics2014
Modeling the autism spectrum disorder phenotype.
Article in Neuroinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 47 citations in OpenAlex.
- Computerized Adaptive Tests for Rapid and Accurate Assessment of Autism.JAMA network open · 2026Article
- A Normative Model Representing Autistic Individuals Amidst Autism Spectrum Phenotypic Heterogeneity.Brain sciences · 2024Article
- Representation of Pain Concepts and Terms in Existing Ontologies and Taxonomies.Pain medicine (Malden, Mass.) · 2023Article
- Executive Functions in Children and Adolescents with Autism Spectrum Disorder in Family and School Environment.International journal of environmental research and public health · 2022Article
- Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records.Journal of neurodevelopmental disorders · 2022Article
- Text mining of gene-phenotype associations reveals new phenotypic profiles of autism-associated genes.Scientific reports · 2021Article
- Executive Functioning: A Mediator Between Sensory Processing and Behaviour in Autism Spectrum Disorder.Journal of autism and developmental disorders · 2021Article
- Molecular Mechanisms of Aberrant Neuroplasticity in Autism Spectrum Disorders (Review).Sovremennye tekhnologii v meditsine · 2021Review
- Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2020Review
- Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions.JMIR medical informatics · 2018Article
- Assessing the practice of biomedical ontology evaluation: Gaps and opportunities.Journal of biomedical informatics · 2018Review
- An ontology-aware integration of clinical models, terminologies and guidelines: an exploratory study of the Scale for the Assessment and Rating of Ataxia (SARA).BMC medical informatics and decision making · 2017Article
- Can data repositories help find effective treatments for complex diseases?Progress in neurobiology · 2017Review
- Peabody Picture Vocabulary Test: Proxy for Verbal IQ in Genetic Studies of Autism Spectrum Disorder.Journal of autism and developmental disorders · 2017Article
- Circumscribed interests in adolescents with Autism Spectrum Disorder: A look beyond trains, planes, and clocks.PloS one · 2017Article
- Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape: A Conference Report From the American Heart Association Data Summit 2015.Journal of the American Heart Association · 2015Article
- An ontology for Autism Spectrum Disorder (ASD) to infer ASD phenotypes from Autism Diagnostic Interview-Revised data.Journal of biomedical informatics · 2015Article
- Future directions for research in autism spectrum disorders.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53 · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
Autism Spectrum Disorder (ASD) is highly heritable, and although there has been active research in an attempt to discover the genetic factors underlying ASD, diagnosis still depends heavily on behavioral assessments. Recently, several large-scale initiatives, including those of the Autism Consortium, have contributed to the collection of extensive information from families affected by ASD. Our goal was to develop an ontology that can be used 1) to provide improved access to the data collected by those who study ASD and other neurodevelopmental disorders, and 2) to assess and compare the characteristics of the instruments that are used in the assessment of ASD. We analyzed two dozen instruments used to assess ASD, studying the nature of the questions asked and items assessed, the method of delivery, and the overall scope of the content. These data together with the extensive literature on ASD contributed to our iterative development of an ASD phenotype ontology. The final ontology comprises 283 concepts distributed across three high-level classes, 'Personal Traits', 'Social Competence', and 'Medical History'. The ontology is fully integrated with the Autism Consortium database, allowing researchers to pose ontology-based questions. The ontology also allows researchers to assess the degree of overlap among a set of candidate instruments according to several objective criteria. The ASD phenotype ontology has promise for use in research settings where extensive phenotypic data have been collected, allowing a concept-based approach to identifying behavioral features of importance and for correlating these with genotypic data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.