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

Overview of attention for article published in Genome Biology, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

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30 X users
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5 Facebook pages

Citations

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47 Dimensions

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140 Mendeley
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6 CiteULike
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Title
Integrative analysis of genetic data sets reveals a shared innate immune component in autism spectrum disorder and its co-morbidities
Published in
Genome Biology, November 2016
DOI 10.1186/s13059-016-1084-z
Pubmed ID
Authors

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

Abstract

Autism 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. Our 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. This 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Unknown 139 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 19%
Student > Ph. D. Student 24 17%
Student > Master 22 16%
Student > Bachelor 18 13%
Other 9 6%
Other 17 12%
Unknown 24 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 17%
Medicine and Dentistry 21 15%
Neuroscience 15 11%
Psychology 14 10%
Agricultural and Biological Sciences 11 8%
Other 26 19%
Unknown 29 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 January 2024.
All research outputs
#1,835,630
of 25,373,627 outputs
Outputs from Genome Biology
#1,525
of 4,467 outputs
Outputs of similar age
#31,295
of 313,244 outputs
Outputs of similar age from Genome Biology
#33
of 61 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,244 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.