Evidence map›Paper›PMID 35739433›Full record

ArticleJournal of autism and developmental disorders2023

Discovery of eQTL Alleles Associated with Autism Spectrum Disorder: A Case-Control Study.

Allison R Hickman, Bradley Selee, Rini Pauly, Benafsh Husain, Yuqing Hang, Frank Alex Feltus

Open access · hybridAbstract read
In one paragraph

Article in Journal of autism and developmental disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Allison R HickmanGenetics and Biochemistry Department, Clemson University, Clemson, SC, 29634, USA.
Bradley SeleeElectrical and Computer Engineering Department, Clemson University, Clemson, SC, 29634, USA.
Rini PaulyBiomedical Data Science & Informatics Program, Clemson University, Clemson, SC, 29634, USA.
Benafsh HusainBiomedical Data Science & Informatics Program, Clemson University, Clemson, SC, 29634, USA.
Yuqing HangGenetics and Biochemistry Department, Clemson University, Clemson, SC, 29634, USA.
Frank Alex FeltusGenetics and Biochemistry Department, Clemson University, Clemson, SC, 29634, USA. ffeltus@clemson.edu.ORCID http://orcid.org/0000-0002-2123-6114
Clemson University · US

Funding

National Science Foundation (US) 1659300
6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by challenges in social communication as well as repetitive or restrictive behaviors. Many genetic associations with ASD have been identified, but most associations occur in a fraction of the ASD population. Here, we searched for eQTL-associated DNA variants with significantly different allele distributions between ASD-affected and control. Thirty significant DNA variants associated with 174 tissue-specific eQTLs from ASD individuals in the SPARK project were identified. Several significant variants fell within brain-specific regulatory regions or had been associated with a significant change in gene expression in the brain. These eQTLs are a new class of biomarkers that could control the myriad of brain and non-brain phenotypic traits seen in ASD-affected individuals.

Indexed as

Autism Spectrum DisorderAllelesBrainCase-Control StudiesHumansPhenotypeAutism spectrum disorderClassificationeQTLsNeural network

Identifiers

PMID35739433
PMCPMC10465380
OpenAlexW4283322759

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.