Evidence map›Paper›PMID 39407327›Full record

ArticleMolecular autism2024

Characterizing genetic pathways unique to autism spectrum disorder at multiple levels of biological analysis.

Lukas S Schaffer, Sophie Breunig, Jeremy M Lawrence, Isabelle F Foote, Andrew D Grotzinger

Abstract read
In one paragraph

Article in Molecular autism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Lukas S SchafferInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA. Lukas.Schaffer@colorado.edu.
Sophie BreunigInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Jeremy M LawrenceInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Isabelle F FooteInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Andrew D GrotzingerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.

Funding

Dissecting the Multivariate Genetic Architecture of Psychiatric DiseasesR01MH120219 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI NIVARD, MICHEL GUILLAUME, TUCKER-DROB, ELLIOT MAX · 2020 to 2024
$3.3M
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetRF1AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2021 to 2021
$2.1M
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetR01AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2024 to 2025
$1.3M
NIA NIH HHS R01 AG073593NIA NIH HHS RF1 AG073593NIA NIH HHS RF1AG073593NIMH NIH HHS R01 MH120219NIMH NIH HHS R01MH120219
6 · The paper itself

Abstract

backgroundAutism spectrum disorder (ASD) is a neurodevelopmental condition characterized by atypical patterns of social functioning and repetitive/restricted behaviors. ASD commonly co-occurs with ADHD and, despite their clinical distinctiveness, the two share considerable genetic overlap. Given their shared genetic liability, it is unclear which genetic pathways increase the likelihood of ASD independently of ADHD.

methodsWe applied Genomic Structural Equation Modeling (SEM) to GWAS summary statistics for ASD and childhood-diagnosed ADHD, decomposing the genetic variance for ASD into that which is unique to ASD (uASD) and that which is shared with ADHD. We computed genetic correlations between uASD and 83 external traits to estimate genetic overlap between uASD and other clinically relevant phenotypes. We went on to apply Stratified Genomic SEM to identify classes of genes enriched for uASD. Finally, we implemented Transcriptome-Wide SEM (T-SEM) to explore patterns of gene-expression associated with uASD.

resultsWe observed positive genetic correlations between uASD and several external traits, most notably those relating to cognitive/educational outcomes and internalizing psychiatric traits. Stratified Genomic SEM showed that heritability for uASD was significantly enriched in genes involved in evolutionarily conserved processes, as well as for a histone mark in the germinal matrix. T-SEM revealed 83 unique genes with expression associated with uASD, 34 of which were novel with respect to univariate analyses. These genes were overrepresented in skin-related pathologies. LIMITATIONS: Our study was limited by summary statistics derived exclusively from individuals of European ancestry. Additionally, using data based on a general ASD diagnosis limits our ability to understand genetic factors contributing to the pronounced clinical heterogeneity in ASD.

conclusionsOur findings delineate the unique genetic underpinnings of ASD that are independent of ADHD at the genome-wide, functional, and gene expression level of analysis. In addition, we identify novel associations previously masked by their diametric effects on ADHD. Collectively, these results provide insight into the processes that make ASD biologically unique.

Indexed as

Autism Spectrum DisorderGenetic Predisposition to DiseaseGenome-Wide Association StudyAttention Deficit Disorder with HyperactivityChildFemaleHumansLatent Class AnalysisMalePhenotypePolymorphism, Single NucleotideTranscriptomeAttention-deficit/hyperactivity disorderAutism spectrum disorderComorbidityGenomic SEMMultivariate genomicsNeurodevelopmental disordersPsychiatric genetics

Identifiers

PMID39407327
PMCPMC11481320

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.