Evidence map›Paper›PMID 31025836›Full record

ArticleAutism research : official journal of the International Society for Autism Research2019

Autism risk genes are evolutionarily ancient and maintain a unique feature landscape that echoes their function.

Emily L Casanova, Andrew E Switala, Srini Dandamudi, Allison R Hickman, Joshua Vandenbrink, Julia L Sharp, Frank Alex Feltus, Manuel F Casanova

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. 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

8 authors.

Emily L CasanovaDepartment of Biomedical Sciences, University of South Carolina, Greenvile, South Carolina.ORCID 0000-0001-5129-6698
Andrew E SwitalaDepartment of Bioengineering, University of Louisville, Louisville, Kentucky.
Srini DandamudiDepartment of Statistics, Colorado State University, Fort Collins, Colorado.
Allison R HickmanDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina.
Joshua VandenbrinkSchool of Biological Sciences, Louisiana Tech University, Ruston, Louisiana.
Julia L SharpDepartment of Statistics, Colorado State University, Fort Collins, Colorado.
Frank Alex FeltusDepartment of Genetics and Biochemistry, Clemson University, Clemson, South Carolina.
Manuel F CasanovaDepartment of Biomedical Sciences, University of South Carolina, Greenvile, South Carolina.

Funding

Building a Selective Inhibitory Control Tone in Autism: An rTMS StudyR01MH086784 · NIMH · UNIVERSITY OF LOUISVILLE · PI CASANOVA, MANUEL F · 2009 to 2012
$884k
Gross morphological correlates to the minicolumnopathy of autismR01HD065279 · NICHD · UNIVERSITY OF LOUISVILLE · PI CASANOVA, MANUEL F · 2009 to 2010
$547k
Autism Research InstituteNICHD NIH HHS R01 HD065279NIMH NIH HHS R01 MH086784
6 · The paper itself

Abstract

Previous research on autism risk (ASD), developmental regulatory (DevReg), and central nervous system (CNS) genes suggests they tend to be large in size, enriched in nested repeats, and mutation intolerant. The relevance of these genomic features is intriguing yet poorly understood. In this study, we investigated the feature landscape of these gene groups to discover structural themes useful in interpreting their function, developmental patterns, and evolutionary history. ASD, DevReg, CNS, housekeeping, and whole genome control (WGC) groups were compiled using various resources. Multiple gene features of interest were extracted from NCBI/UCSC Bioinformatics. Residual variation intolerance scores, Exome Aggregation Consortium pLI scores, and copy number variation data from Decipher were used to estimate variation intolerance. Gene age and protein-protein interactions (PPI) were estimated using Ensembl and EBI Intact databases, respectively. Compared to WGC: ASD, DevReg, and CNS genes are longer, produce larger proteins, maintain greater numbers/density of conserved noncoding elements and transposable elements, produce more transcript variants, and are comparatively variation intolerant. After controlling for gene size, mutation tolerance, and clinical association, ASD genes still retain many of these same features. In addition, we also found that ASD genes that are extremely mutation intolerant have larger PPI networks. These data support many of the recent findings within the field of autism genetics but also expand our understanding of the evolution of these broad gene groups, their potential regulatory complexity, and the extent to which they interact with the cellular network. Autism Res 2019, 12: 860-869. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Autism risk genes are more ancient compared to other genes in the genome. As such, they exhibit physical features related to their age, including long gene and protein size and regulatory sequences that help to control gene expression. They share many of these same features with other genes that are expressed in the brain and/or are associated with prenatal development.

Indexed as

Autism Spectrum DisorderBrainDNA Copy Number VariationsFemaleGenomicsHumansMalePregnancyRisk Factorscentral nervous systemdevelopmentalDNA transposonsgenesretroelements

Identifiers

PMID31025836
PMCPMC6613973

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.