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Evaluation of host genetics on outcome of tuberculosis infection due to differences in killer immunoglobulin-like receptor gene frequencies and haplotypes

Overview of attention for article published in BMC Genomic Data, June 2015
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Title
Evaluation of host genetics on outcome of tuberculosis infection due to differences in killer immunoglobulin-like receptor gene frequencies and haplotypes
Published in
BMC Genomic Data, June 2015
DOI 10.1186/s12863-015-0224-x
Pubmed ID
Authors

Kali Braun, Joyce Wolfe, Sandra Kiazyk, Meenu Kaushal Sharma

Abstract

Outcome of Mycobacterium tuberculosis (Mtb) infection is affected by virulence of the infecting strain of Mtb, host environment, co-morbidities, and the genetic composition of the host, specifically the presence or absence of genes involved in immune responses/regulation. It is hypothesized that specific killer immunoglobulin-like receptor (KIR) genes may be associated with Mtb infection and clinical outcome. This cross-sectional study examined the KIR gene frequencies, profiles, and haplotypes of individuals with active tuberculosis, latent tuberculosis infection, compared to TB and HIV negative healthy controls. Analysis of KIR gene frequencies revealed differences among disease status groups, suggesting that enrichment or depletion of specific KIR genes may direct the disease outcome. Mtb infected individuals were more likely to have a centromeric-AA haplotype compared to controls. The differences in KIR gene frequencies and haplotypes may result in differential cytokine expression, contributing to different disease outcomes, and suggest a genetic influence on Mtb susceptibility and pathogenesis.

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The data shown below were collected from the profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Bachelor 5 16%
Student > Ph. D. Student 5 16%
Student > Postgraduate 3 10%
Student > Master 3 10%
Other 3 10%
Unknown 6 19%
Readers by discipline Count As %
Medicine and Dentistry 9 29%
Biochemistry, Genetics and Molecular Biology 5 16%
Agricultural and Biological Sciences 5 16%
Immunology and Microbiology 3 10%
Computer Science 1 3%
Other 2 6%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 June 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from BMC Genomic Data
#1,008
of 1,203 outputs
Outputs of similar age
#224,753
of 264,128 outputs
Outputs of similar age from BMC Genomic Data
#37
of 44 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,203 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.