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

Bibliographic Data

ID15697602
AuthorsMaya McNealis (Stanford University, corresponding author), John Kent (0000-0002-7989-6596, Stanford Medicine), Kelley Paskov (0000-0002-5252-1401, Stanford University), Kaitlyn Dunlap (0000-0003-4423-5269, Stanford University), Jordan Lane (0000-0002-0853-7457, Case Western Reserve University), Brittani Phillips (University of California, Davis), Melissa Armstrong‐Brine (MetroHealth), Melissa Armstrong-Brine, Shanna Kralovic, Anastasia Dimitropoulos (0000-0001-7765-1010, Case Western Reserve University), Leonard Abbeduto (0000-0002-2311-7194, University of California, Davis), Dennis P Wall (0000-0002-7889-9146)
Year2025
Volume13
Issue1
Pages561-561
Publication date2025-05-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Psychology (JOURNAL)
Journal identifiersISSN: 2050-7283 • E-ISSN: 2050-7283
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s40359-025-02739-4
PMID40420291
OpenAlexW4410731606
LanguageEN
References cited59

A 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

Autism · Autism spectrum disorder · Developmental psychology · Intervention (counseling · Logistic regression · Neurodevelopmental disorder · Psychiatry · Social skills · Autism Spectrum Disorder Research · Child Development and Digital Technology · Child Nutrition and Feeding Issues · Clinical Psychology · Medicine · Psychology

Tools

Open DOIOpen Access