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Lack of HLA predominance and HLA shared epitopes in biliary Atresia

Overview of attention for article published in SpringerPlus, February 2013
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Title
Lack of HLA predominance and HLA shared epitopes in biliary Atresia
Published in
SpringerPlus, February 2013
DOI 10.1186/2193-1801-2-42
Pubmed ID
Authors

Cara L Mack, Kirsten M Anderson, Michael T Aubrey, Philip Rosenthal, Ronald J Sokol, Brian M Freed

Abstract

Biliary atresia (BA) is characterized by progressive inflammation and fibrosis of bile ducts. A theory of pathogenesis entails autoimmune-mediated injury targeting bile duct epithelia. One of the strongest genetic associations with autoimmunity is with HLA genes. In addition, apparently dissimilar HLA alleles may have similar antigen-binding sites, called shared epitopes, that overlap in their capacity to present antigens. In autoimmune disease, the incidence of the disease may be related to the presence of shared epitopes, not simply the HLA allelic association. Aim: To determine HLA allele frequency (high-resolution genotyping) and shared epitope associations in BA. Results: Analysis of every allele for HLA-A, -B, -C, -DRB1, -DPB1 and -DQB1 in 180 BA and 360 racially-matched controls did not identify any significant HLA association with BA. Furthermore, shared epitope analysis of greater than 10 million possible combinations of peptide sequences was not different between BA and controls. Conclusions: This study encompasses the largest HLA allele frequency analysis for BA in the United States and is the first study to perform shared epitope analysis. When controlling for multiple comparisons, no HLA allele or shared epitope association was identified in BA. Future studies of genetic links to BA that involve alterations of the immune response should include investigations into defects in regulatory T cells and non-HLA linked autoinflammatory diseases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Professor 1 8%
Other 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 4 31%
Readers by discipline Count As %
Medicine and Dentistry 6 46%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Immunology and Microbiology 1 8%
Agricultural and Biological Sciences 1 8%
Unknown 4 31%
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 08 February 2013.
All research outputs
#20,182,546
of 22,696,971 outputs
Outputs from SpringerPlus
#1,461
of 1,852 outputs
Outputs of similar age
#250,600
of 284,066 outputs
Outputs of similar age from SpringerPlus
#55
of 109 outputs
Altmetric has tracked 22,696,971 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 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 109 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.