Evidence map›Paper›PMID 32912353›Full record

ArticleDevelopment and psychopathology2020

Transcriptional subtyping explains phenotypic variability in genetic subtypes of autism spectrum disorder.

Sandy Trinh, Anne Arnett, Evangeline Kurtz-Nelson, Jennifer Beighley, Marta Picoto, Raphael Bernier

Open access · greenAbstract read
In one paragraph

Article in Development and psychopathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Characterizing the autism spectrum phenotype in DYRK1A-related syndrome.Autism research : official journal of the International Society for Autism Research · 2023
    Article
  5. Review
  6. Review
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

6 authors at 1 institution in 1 country.

Sandy TrinhDepartment of Educational Psychology, University of Washington, Seattle, WA, USA.
Anne ArnettDepartment of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA.
Evangeline Kurtz-NelsonDepartment of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA.
Jennifer BeighleyDepartment of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA.
Marta PicotoDepartment of Educational Psychology, University of Washington, Seattle, WA, USA.
Raphael BernierDepartment of Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA.
University of Washington · US

Funding

Phenotypic Characterization of Gene Disrupting Mutations in ASDR01MH100047 · NIMH · UNIVERSITY OF WASHINGTON · PI BERNIER, RAPHAEL A · 2014 to 2018
$2.1M
Neurophysiologically Defined Subtypes of ADHDK99MH116064 · NIMH · UNIVERSITY OF WASHINGTON · PI ARNETT, ANNE BERNARD · 2018 to 2019
$255k
NIMH NIH HHS K99 MH116064NIMH NIH HHS R01 MH100047
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a common neurodevelopmental disorder characterized by deficits in social communication and presence of restricted, repetitive behaviors, and interests. However, individuals with ASD vary significantly in their challenges and abilities in these and other developmental domains. Gene discovery in ASD has accelerated in the past decade, and genetic subtyping has yielded preliminary evidence of utility in parsing phenotypic heterogeneity through genomic subtypes. Recent advances in transcriptomics have provided additional dimensions with which to refine genetic subtyping efforts. In the current study, we investigate phenotypic differences among transcriptional subtypes defined by neurobiological spatiotemporal co-expression patterns. Of the four transcriptional subtypes examined, participants with mutations to genes typically expressed highly in all brain regions prenatally, and those with differential postnatal cerebellar expression relative to other brain regions, showed lower cognitive and adaptive skills, higher severity of social communication deficits, and later acquisition of speech and motor milestones, compared to those with mutations to genes highly expressed during the postnatal period across brain regions. These findings suggest higher-order characterization of genetic subtypes based on neurobiological expression patterns may be a promising approach to parsing phenotypic heterogeneity among those with ASD and related neurodevelopmental disorders.

Indexed as

Autism Spectrum DisorderBiological Variation, PopulationBrainCerebellumHumansautismgeneticsmutation

Identifiers

PMID32912353
PMCPMC7709958
OpenAlexW3084660979

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.