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Novel Primary Immunodeficiency Candidate Genes Predicted by the Human Gene Connectome

Overview of attention for article published in Frontiers in immunology, April 2015
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
Novel Primary Immunodeficiency Candidate Genes Predicted by the Human Gene Connectome
Published in
Frontiers in immunology, April 2015
DOI 10.3389/fimmu.2015.00142
Pubmed ID
Authors

Yuval Itan, Jean-Laurent Casanova

Abstract

Germline genetic mutations underlie various primary immunodeficiency (PID) diseases. Patients with rare PID diseases (like most non-PID patients and healthy individuals) carry, on average, 20,000 rare and common coding variants detected by high-throughput sequencing. It is thus a major challenge to select only a few candidate disease-causing variants for experimental testing. One of the tools commonly used in the pipeline for estimating a potential PID-candidate gene is to test whether the specific gene is included in the list of genes that were already experimentally validated as PID-causing in previous studies. However, this approach is limited because it cannot detect the PID-causing mutation(s) in the many PID patients carrying causal mutations of as yet unidentified PID-causing genes. In this study, we expanded in silico the list of potential PID-causing candidate genes from 229 to 3,110. We first identified the top 1% of human genes predicted by the human genes connectome to be biologically close to the 229 known PID genes. We then further narrowed down the list of genes by retaining only the most biologically relevant genes, with functionally enriched gene ontology biological categories similar to those for the known PID genes. We validated this prediction by showing that 17 of the 21 novel PID genes published since the last IUIS classification fall into this group of 3,110 genes (p < 10(-7)). The resulting new extended list of 3,110 predicted PID genes should be useful for the discovery of novel PID genes in patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 21 21%
Student > Master 10 10%
Student > Doctoral Student 8 8%
Student > Bachelor 7 7%
Other 23 23%
Unknown 10 10%
Readers by discipline Count As %
Immunology and Microbiology 23 23%
Biochemistry, Genetics and Molecular Biology 23 23%
Agricultural and Biological Sciences 19 19%
Medicine and Dentistry 16 16%
Computer Science 2 2%
Other 4 4%
Unknown 14 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 May 2021.
All research outputs
#4,589,991
of 25,483,400 outputs
Outputs from Frontiers in immunology
#4,905
of 31,801 outputs
Outputs of similar age
#53,928
of 279,364 outputs
Outputs of similar age from Frontiers in immunology
#32
of 153 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,801 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 84% 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 279,364 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 80% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.