Evidence map›Paper›PMID 27414027›Full record

ArticlePloS one2016

Comorbid Analysis of Genes Associated with Autism Spectrum Disorders Reveals Differential Evolutionary Constraints.

Maude M David, David Enard, Alp Ozturk, Jena Daniels, Jae-Yoon Jung, Leticia Diaz-Beltran, Dennis P Wall

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. In Search of Autism's Roots.PLoS biology · 2016
    Article
  13. 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

7 authors at 1 institution in 1 country.

Maude M DavidDepartment of Pediatrics, Division of Systems Medicine, Stanford University, Stanford, California, United States of America.
David EnardDepartment of Biology, Stanford University, Stanford, California, United States of America.
Alp OzturkDepartment of Pediatrics, Division of Systems Medicine, Stanford University, Stanford, California, United States of America.
Jena DanielsDepartment of Pediatrics, Division of Systems Medicine, Stanford University, Stanford, California, United States of America.
Jae-Yoon JungDepartment of Pediatrics, Division of Systems Medicine, Stanford University, Stanford, California, United States of America.
Leticia Diaz-BeltranDepartment of Pediatrics, Division of Systems Medicine, Stanford University, Stanford, California, United States of America.
Dennis P WallDepartment of Pediatrics, Division of Systems Medicine, Stanford University, Stanford, California, United States of America.
Stanford University · US

Funding

Characterizing the genetic systems of autism through multi-disease analysisR01MH090611 · NIMH · STANFORD UNIVERSITY · PI WALL, DENNIS PAUL · 2010 to 2014
$2.8M
NIMH NIH HHS R01 MH090611
6 · The paper itself

Abstract

The burden of comorbidity in Autism Spectrum Disorder (ASD) is substantial. The symptoms of autism overlap with many other human conditions, reflecting common molecular pathologies suggesting that cross-disorder analysis will help prioritize autism gene candidates. Genes in the intersection between autism and related conditions may represent nonspecific indicators of dysregulation while genes unique to autism may play a more causal role. Thorough literature review allowed us to extract 125 ICD-9 codes comorbid to ASD that we mapped to 30 specific human disorders. In the present work, we performed an automated extraction of genes associated with ASD and its comorbid disorders, and found 1031 genes involved in ASD, among which 262 are involved in ASD only, with the remaining 779 involved in ASD and at least one comorbid disorder. A pathway analysis revealed 13 pathways not involved in any other comorbid disorders and therefore unique to ASD, all associated with basal cellular functions. These pathways differ from the pathways associated with both ASD and its comorbid conditions, with the latter being more specific to neural function. To determine whether the sequence of these genes have been subjected to differential evolutionary constraints, we studied long term constraints by looking into Genomic Evolutionary Rate Profiling, and showed that genes involved in several comorbid disorders seem to have undergone more purifying selection than the genes involved in ASD only. This result was corroborated by a higher dN/dS ratio for genes unique to ASD as compare to those that are shared between ASD and its comorbid disorders. Short-term evolutionary constraints showed the same trend as the pN/pS ratio indicates that genes unique to ASD were under significantly less evolutionary constraint than the genes associated with all other disorders.

Indexed as

Autism Spectrum DisorderCluster AnalysisDatabases, GeneticHumansInternational Classification of Diseases

Identifiers

PMID27414027
PMCPMC4945013
OpenAlexW2468647261

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.