Evidence map›Paper›PMID 40420291›Full record

ArticleBMC psychology2025

Identifying understudied correlations between autism & phenotypic attributes in a large family dataset.

Maya McNealis, John Kent, Kelley Paskov, Kaitlyn Dunlap, Jordan Lane, Brittani Phillips, Melissa Armstrong-Brine, Shanna Kralovic, Anastasia Dimitropoulos, Leonard Abbeduto and 1 more

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Maya McNealisDepartments of Pediatrics (Clinical Informatics), Biomedical Data Science, and Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
John KentDepartments of Pediatrics (Clinical Informatics), Biomedical Data Science, and Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
Kelley PaskovDepartments of Pediatrics (Clinical Informatics), Biomedical Data Science, and Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
Kaitlyn DunlapDepartments of Pediatrics (Clinical Informatics), Biomedical Data Science, and Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
Jordan LaneDepartment of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA.
Brittani PhillipsMIND Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis Health, Sacramento, CA, USA.
Melissa Armstrong-BrineDivision of Child and Adolescent Psychiatry and Psychology, MetroHealth Medical Center, Cleveland, OH, USA.
Shanna KralovicDivision of Developmental and Behavioral Pediatrics and Psychology, Department of Pediatrics, UH-Rainbow Babies and Children's Hospital, Cleveland, OH, USA.
Anastasia DimitropoulosDepartment of Psychological Sciences, Case Western Reserve University, Cleveland, OH, USA.
Leonard AbbedutoMIND Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis Health, Sacramento, CA, USA.
Dennis P WallDepartments of Pediatrics (Clinical Informatics), Biomedical Data Science, and Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA. dpwall@stanford.edu.ORCID http://orcid.org/0000-0002-7889-9146

Funding

Research Project: Pathologic Significance of Maternal AutoantibodiesP50HD103526 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEONARD J. ABBEDUTO, Melissa Dawn Bauman · 2020 to 2026
$9.7M
NIH HHS P50HD103526
6 · The paper itself

Abstract

backgroundAutism Spectrum Disorder (ASD), a neurodevelopmental condition marked by restricted, repetitive behaviors and social communication difficulties, is one of the fastest-growing pediatric behavioral health concerns in the United States. Long-term outcomes significantly improve with early intervention, but diagnosis and treatment are complicated by the large range of phenotypic presentations that can be moderated by identity factors like gender and culture. Many physical and behavioral characteristics associated with the autism phenotype are not included in the screening and diagnostic instruments used in research.

methodsWe have built a multi-site registry of diverse families with children with autism to collect longitudinal data on their physical and behavioral attributes to study the heterogeneous autism phenotype. Our KidsFirst registry contains 6,951 participants (hereafter "children") from 4,120 families, 1,865 of which have more than one child. In addition to collecting standard clinical instruments such as the Social Communication Questionnaire (SCQ), we have collected information on the phenotypic attributes of hearing issues, noise sensitivity, vision challenges, irregular sleep, impaired motor skills, metabolic disorders, gastrointestinal (GI) problems, infections, seizures, and premature birth for both ASD and non-ASD children. After validating parent-reported diagnoses against SCQ scores, we analyzed the association of each attribute with the ASD diagnosis and the other attributes using a logistic regression model and permutation tests.

resultsNoise sensitivity, impaired motor skills, irregular sleep, GI problems, infections, and seizures attributes were significantly associated with autism diagnosis. These attributes also share correlation structures amongst themselves, suggesting that groupings of attributes may help to define subtypes of autism. LIMITATIONS: The attributes analyzed in this study are not a comprehensive list of suspected traits of autism. Parent-reported diagnoses may not always be accurate, although we validated diagnoses. Despite accounting for family structure in our experiments, the relationships between attributes and diagnosis are likely stronger in the general population because our "control" sample is comprised of biological siblings who may still possess subclinical autistic traits, given the heritability of autism.

conclusionsA more expansive conceptualization of the autism phenotype is likely to be useful to both researchers and families for identifying a more targeted approach to intervention.

Indexed as

Autism Spectrum DisorderPhenotypeAdolescentChildChild, PreschoolFamilyFemaleHumansLongitudinal StudiesMaleRegistriesASDAutismBroad autism phenotypeFamily studyGIInfectionsSeizuresSleep

Identifiers

PMID40420291
PMCPMC12105231

What OpenQuestion holds

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Registered trials

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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.