Evidence map›Paper›PMID 27842596›Full record

SynthesisGenome biology2016

Integrative analysis of genetic data sets reveals a shared innate immune component in autism spectrum disorder and its co-morbidities.

Sumaiya Nazeen, Nathan P Palmer, Bonnie Berger, Isaac S Kohane

Abstract readMeta-Analysis
In one paragraph

Synthesis in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
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  10. Genetic mouse models of autism spectrum disorder present subtle heterogenous cardiac abnormalities.Autism research : official journal of the International Society for Autism Research · 2022
    Article
  11. Immune Dysregulation in Autism Spectrum Disorder: What Do We Know about It?International journal of molecular sciences · 2022
    Review
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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

4 authors.

Sumaiya NazeenComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, 02139, MA, USA.
Nathan P PalmerDepartment of Biomedical Informatics, Harvard Medical School, 25 Shattuck Street, Boston, 02115, MA, USA.
Bonnie BergerComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, 02139, MA, USA. bab@mit.edu.
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, 25 Shattuck Street, Boston, 02115, MA, USA. isaac_kohane@harvard.edu.

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Research ProjectP50MH106933 · NIMH · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S. · 2014 to 2018
$17.0M
Modeling the temporal succession of phenotypes & environnnental cuesP50MH094267 · NIMH · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2011 to 2015
$10.2M
Structure-Based Prediction of the InteractomeR01GM081871 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERGER, BONNIE · 2008 to 2020
$4.3M
NIGMS NIH HHS R01 GM081871NIMH NIH HHS P50 MH094267NIMH NIH HHS P50 MH106933NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

backgroundAutism spectrum disorder (ASD) is a common neurodevelopmental disorder that tends to co-occur with other diseases, including asthma, inflammatory bowel disease, infections, cerebral palsy, dilated cardiomyopathy, muscular dystrophy, and schizophrenia. However, the molecular basis of this co-occurrence, and whether it is due to a shared component that influences both pathophysiology and environmental triggering of illness, has not been elucidated. To address this, we deploy a three-tiered transcriptomic meta-analysis that functions at the gene, pathway, and disease levels across ASD and its co-morbidities.

resultsOur analysis reveals a novel shared innate immune component between ASD and all but three of its co-morbidities that were examined. In particular, we find that the Toll-like receptor signaling and the chemokine signaling pathways, which are key pathways in the innate immune response, have the highest shared statistical significance. Moreover, the disease genes that overlap these two innate immunity pathways can be used to classify the cases of ASD and its co-morbidities vs. controls with at least 70 % accuracy.

conclusionsThis finding suggests that a neuropsychiatric condition and the majority of its non-brain-related co-morbidities share a dysregulated signal that serves as not only a common genetic basis for the diseases but also as a link to environmental triggers. It also raises the possibility that treatment and/or prophylaxis used for disorders of innate immunity may be successfully used for ASD patients with immune-related phenotypes.

Indexed as

ComorbidityAutism Spectrum DisorderGene Expression ProfilingHumansImmunity, InnateSignal TransductionTranscriptomeAutism spectrum disorderCo-morbidities of ASDGene expressionInnate immunity pathwaysThree-tiered meta-analysis

Identifiers

PMID27842596
PMCPMC5108086

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Registered trials

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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.