Evidence map›Paper›PMID 31455884›Full record

ArticleNature neuroscience2019

Profiling allele-specific gene expression in brains from individuals with autism spectrum disorder reveals preferential minor allele usage.

Changhoon Lee, Eun Yong Kang, Michael J Gandal, Eleazar Eskin, Daniel H Geschwind

Abstract read
In one paragraph

Article in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Allele-specific expression in the brain links genetic risk and cortical thinning in psychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  3. Transcriptomic Convergence in Autism Spectrum Disorder: Synaptic, Immune-Glial and RNA-Regulatory Axes in the Human Cerebral Cortex.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2026
    Review
  4. Article
  5. Allele specific expression in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A missense mutation inProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Changhoon LeeProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Eun Yong KangDepartment of Computer Science, Henry Samueli School of Engineering, University of California, Los Angeles, Los Angeles, CA, USA.
Michael J GandalProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-5800-5128
Eleazar EskinDepartment of Computer Science, Henry Samueli School of Engineering, University of California, Los Angeles, Los Angeles, CA, USA.
Daniel H GeschwindProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA. dhg@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-2896-3450
University of California, Los Angeles · US

Funding

2/2-Discovery and validation of neuronal enhancers associated with the development of psychiatric disordersU01MH116489 · NIMH · UNIVERSITY OF CHICAGO · PI GAYNOR, SOPHIA, GESCHWIND, DANIEL H · 2018 to 2022
$4.5M
Isoform-level probabilistic transcriptome-wide association to undercover neurogenetic mechanisms underlying complex psychiatric traitsR01MH121521 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GANDAL, MICHAEL · 2020 to 2024
$3.4M
2/3 Integrative Genomic Analysis of Human Brain Development and AutismR01MH110927 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2016 to 2019
$2.7M
1/3 Building integrative CNS networks for genomic analysis of autismR01MH109912 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2016 to 2020
$2.6M
NIMH NIH HHS R01 MH109912NIMH NIH HHS R01 MH110927NIMH NIH HHS R01 MH121521NIMH NIH HHS U01 MH116489
6 · The paper itself

Abstract

One fundamental but understudied mechanism of gene regulation in disease is allele-specific expression (ASE), the preferential expression of one allele. We leveraged RNA-sequencing data from human brain to assess ASE in autism spectrum disorder (ASD). When ASE is observed in ASD, the allele with lower population frequency (minor allele) is preferentially more highly expressed than the major allele, opposite to the canonical pattern. Importantly, genes showing ASE in ASD are enriched in those downregulated in ASD postmortem brains and in genes harboring de novo mutations in ASD. Two regions, 14q32 and 15q11, containing all known orphan C/D box small nucleolar RNAs (snoRNAs), are particularly enriched in shifts to higher minor allele expression. We demonstrate that this allele shifting enhances snoRNA-targeted splicing changes in ASD-related target genes in idiopathic ASD and 15q11-q13 duplication syndrome. Together, these results implicate allelic imbalance and dysregulation of orphan C/D box snoRNAs in ASD pathogenesis.

Indexed as

BrainAllelesAllelic ImbalanceAutism Spectrum DisorderGene Expression ProfilingHumansRNA, Small NucleolarTranscriptomeRNA, Small Nucleolar

Identifiers

PMID31455884
PMCPMC6750256
OpenAlexW2970868080

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.