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Human leukocyte antigen class 1 genotype distribution and analysis in persons with active tuberculosis and household contacts from Central Uganda

Overview of attention for article published in BMC Infectious Diseases, September 2016
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Title
Human leukocyte antigen class 1 genotype distribution and analysis in persons with active tuberculosis and household contacts from Central Uganda
Published in
BMC Infectious Diseases, September 2016
DOI 10.1186/s12879-016-1833-3
Pubmed ID
Authors

Helen K. Buteme, Rebecca Axelsson-Robertson, Lina Benson, Moses L. Joloba, W. Henry Boom, Gunilla Kallenius, Markus Maeurer

Abstract

To determine the distribution of Human leukocyte antigen (HLA) class I genotypes in a Ugandan population of persons with tuberculosis (TB) and establish the relationship between class I HLA types and Mycobacterium tuberculosis (MTB) disease. Blood samples were drawn from HIV negative individuals with active TB and HIV negative household controls. DNA was extracted from blood samples and HLA typed by the polymerase chain reaction-sequence specific primer method. The allelic frequencies were determined by direct count. HLA-A*02, B*15, C*07, C*03, B*58, C*04, A*01, A*74, C*02 and A*30 were the dominant genotypes in this Ugandan cohort. There were differences in the distribution of HLA types between the individuals with active TB and the household controls with only HLA-A*03 allele showing a statistically significant difference (p = 0.017 crude; OR = 6.29 and p = 0.016; OR = 11.67 after adjustment for age). However, after applying the Benjamini and Hochberg adjustment for multiple comparisons the difference was no longer statistically significant (p = 0.374 and p = 0.176 respectively). We identified a number of HLA class I alleles in a population from Central Uganda which will enable us to carry out a functional characterization of CD8+ T-cell mediated immune responses to MTB. Our results do not show a positive association between the HLA class I alleles and TB in this Ugandan population however the study sample was too small to draw any firm conclusions about the role of HLA class I alleles and TB development in Uganda.

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The data shown below were collected from the profiles of 3 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Student > Ph. D. Student 5 16%
Researcher 4 13%
Student > Bachelor 2 6%
Other 2 6%
Other 2 6%
Unknown 12 38%
Readers by discipline Count As %
Medicine and Dentistry 10 31%
Agricultural and Biological Sciences 3 9%
Immunology and Microbiology 3 9%
Nursing and Health Professions 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 13 41%
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 27 September 2016.
All research outputs
#17,817,005
of 22,889,074 outputs
Outputs from BMC Infectious Diseases
#5,126
of 7,690 outputs
Outputs of similar age
#230,706
of 321,669 outputs
Outputs of similar age from BMC Infectious Diseases
#144
of 225 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 321,669 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.