Evidence map›Paper›PMID 41485944›Full record

ArticleThe Journal of veterinary medical science2026

High-throughput detection of bovine leukocyte antigen (BoLA)-DRB3 alleles associated with resistance to bovine leukemia virus using a rapid allele-specific PCR assay.

Rin Nagai, Yao Ou, Tomoyuki Onda, Tatsuo Noguchi, Tomoko Kobayashi

Abstract read
In one paragraph

Article in The Journal of veterinary medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rin NagaiDepartment of Animal Science, Faculty of Agriculture, Tokyo University of Agriculture, Kanagawa, Japan.
Yao OuDepartment of Animal Science, Faculty of Agriculture, Tokyo University of Agriculture, Kanagawa, Japan.
Tomoyuki OndaDepartment of Animal Science, Faculty of Agriculture, Tokyo University of Agriculture, Kanagawa, Japan.
Tatsuo NoguchiDepartment of Animal Science, Faculty of Agriculture, Tokyo University of Agriculture, Kanagawa, Japan.
Tomoko KobayashiDepartment of Animal Science, Faculty of Agriculture, Tokyo University of Agriculture, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine leukemia virus (BLV) is the causative agent of enzootic bovine leukosis (EBL), a common neoplastic disease in cattle. Since animals with high BLV proviral load (PVL) pose a greater transmission risk, identifying cattle with low PVL is crucial for herd management. Certain bovine leukocyte antigen (BoLA)-DRB3 alleles- DRB3*009:02, DRB3*014:01:01, and DRB3*002:01-are strongly associated with low PVL in Holstein cattle and thus can serve as markers for genetic resistance. In this study, we developed a rapid, cost-effective allele-specific PCR (AS-PCR) assay using sequence-specific primers to detect these three alleles. The assay was validated through both synthesized DNA and genomic DNA samples from pre-genotyped cattle, showing 100% sensitivity and 94% specificity compared with PCR-sequence-based typing (SBT). The detection limit was 0.8 ng/reaction. A two-stage pooling approach allowed high-throughput screening of field samples, and analysis of 444 cattle revealed that 27.0% carried at least one target allele. Considering only standard PCR and agarose gel electrophoresis are required, this assay is accessible to basic laboratories without advanced equipment or bioinformatics expertise. Moreover, it enables rapid genotyping of BLV resistance markers, offering a practical tool for genetic selection and disease control in dairy farms, especially those in high-BLV-prevalence regions.

Indexed as

Disease ResistanceEnzootic Bovine LeukosisHistocompatibility Antigens Class IILeukemia Virus, BovinePolymerase Chain ReactionAllelesAnimalsCattleSensitivity and SpecificityBoLA-DRB3 antigenHistocompatibility Antigens Class IIallele-specific PCRbovine leukemia virusbovine leukocyte antigen (BoLA)-DRB3proviral loadresistant alleles

Identifiers

PMID41485944
PMCPMC13000438

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.