Evidence map›Paper›PMID 33539344›Full record

ArticlePLoS genetics2021

Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder.

Kunling Huang, Yuchang Wu, Junha Shin, Ye Zheng, Alireza Fotuhi Siahpirani, Yupei Lin, Zheng Ni, Jiawen Chen, Jing You, Sunduz Keles and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Molecular Dysregulation in Autism Spectrum Disorder.Journal of personalized medicine · 2021
    Review
  10. Estimating genetic nurture with summary statistics of multigenerational genome-wide association studies.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. 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

13 authors at 2 institutions in 1 country.

Kunling HuangDepartment of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0001-5958-5136
Yuchang WuDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-6985-3998
Junha ShinDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0003-3175-3446
Ye ZhengVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.ORCID 0000-0002-8806-2761
Alireza Fotuhi SiahpiraniDepartment of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-7804-4084
Yupei LinUniversity of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0001-7581-0663
Zheng NiUniversity of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0003-3559-311X
Jiawen ChenUniversity of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-6193-534X
Jing YouUniversity of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Sunduz KelesDepartment of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0001-9048-0922
Daifeng WangDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Sushmita RoyDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Qiongshi LuDepartment of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
University of Wisconsin–Madison · USFred Hutch Cancer Center · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Statistical Methods for the Analysis of ChlP-chip DataR01HG003747 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI KELES, SUNDUZ · 2007 to 2024
$4.8M
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NHGRI NIH HHS R01 HG003747
6 · The paper itself

Abstract

Recent advances in consortium-scale genome-wide association studies (GWAS) have highlighted the involvement of common genetic variants in autism spectrum disorder (ASD), but our understanding of their etiologic roles, especially the interplay with rare variants, is incomplete. In this work, we introduce an analytical framework to quantify the transmission disequilibrium of genetically regulated gene expression from parents to offspring. We applied this framework to conduct a transcriptome-wide association study (TWAS) on 7,805 ASD proband-parent trios, and replicated our findings using 35,740 independent samples. We identified 31 associations at the transcriptome-wide significance level. In particular, we identified POU3F2 (p = 2.1E-7), a transcription factor mainly expressed in developmental brain. Gene targets regulated by POU3F2 showed a 2.7-fold enrichment for known ASD genes (p = 2.0E-5) and a 2.7-fold enrichment for loss-of-function de novo mutations in ASD probands (p = 7.1E-5). These results provide a novel connection between rare and common variants, whereby ASD genes affected by very rare mutations are regulated by an unlinked transcription factor affected by common genetic variations.

Indexed as

Genetic Predisposition to DiseaseAllelesAutism Spectrum DisorderDatabases, GeneticGene Expression ProfilingGenome-Wide Association StudyHippocampusHomeodomain ProteinsHumansMutationPolymorphism, Single NucleotidePOU Domain FactorsQuantitative Trait LociRisk FactorsSpatio-Temporal AnalysisTranscriptomeHomeodomain ProteinsPOU Domain Factorstranscription factor Brn-2

Identifiers

PMID33539344
PMCPMC7888619
OpenAlexW3128159033

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.