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Single nucleotide polymorphisms in the bovine MHC region of Japanese Black cattle are associated with bovine leukemia virus proviral load

Overview of attention for article published in Retrovirology, April 2017
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Title
Single nucleotide polymorphisms in the bovine MHC region of Japanese Black cattle are associated with bovine leukemia virus proviral load
Published in
Retrovirology, April 2017
DOI 10.1186/s12977-017-0348-3
Pubmed ID
Authors

Shin-nosuke Takeshima, Shinji Sasaki, Polat Meripet, Yoshikazu Sugimoto, Yoko Aida

Abstract

Bovine leukemia virus (BLV) is the causative agent of enzootic bovine leukosis, a malignant B cell lymphoma that has spread worldwide and causes serious problems for the cattle industry. The BLV proviral load, which represents the BLV genome integrated into host genome, is a useful index for estimating disease progression and transmission risk. Here, we conducted a genome-wide association study to identify single nucleotide polymorphisms (SNPs) associated with BLV proviral load in Japanese Black cattle. The study examined 93 cattle with a high proviral load and 266 with a low proviral load. Three SNPs showed a significant association with proviral load. One SNP was detected in the CNTN3 gene on chromosome 22, and two (which were not in linkage disequilibrium) were detected in the bovine major histocompatibility complex region on chromosome 23. These results suggest that polymorphisms in the major histocompatibility complex region affect proviral load. This is the first report to detect SNPs associated with BLV proviral load in Japanese Black cattle using whole genome association study, and understanding host factors may provide important clues for controlling the spread of BLV in Japanese Black cattle.

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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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Master 8 18%
Student > Bachelor 7 16%
Student > Ph. D. Student 6 13%
Student > Doctoral Student 3 7%
Other 5 11%
Unknown 8 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 31%
Veterinary Science and Veterinary Medicine 9 20%
Immunology and Microbiology 5 11%
Medicine and Dentistry 3 7%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 3 7%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 April 2017.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from Retrovirology
#703
of 1,118 outputs
Outputs of similar age
#174,764
of 310,031 outputs
Outputs of similar age from Retrovirology
#13
of 19 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 33rd percentile – i.e., 33% 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 310,031 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.