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Association of Bovine Leukocyte Antigen (BoLA) DRB3.2 with Immune Response, Mastitis, and Production and Type Traits in Canadian Holsteins

2007· article· en· W2071576530 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Dairy Science · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMilk Quality and Mastitis in Dairy Cows
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Guelph
KeywordsMastitisAlleleBiologyImmune systemImmunologyAntigenSomatic cell countAntibodyHerdGeneticsMicrobiologyLactationGene

Abstract

fetched live from OpenAlex

Data collected from 328 Canadian Holsteins in a research herd at the University of Guelph were used to study associations among expression of bovine leukocyte antigen (BoLA) DRB3.2 alleles, immune response, mastitis resistance via somatic cell counts (SCC), and clinical mastitis, as well as to extend these results to production and type traits. Accordingly, groups of cows were evaluated in vivo for both the antibody-mediated immune response (AMIR) and the cell-mediated immune response (CMIR), which generally predominate in responses to extracellular and intracellular pathogens, respectively. Of note was that associations between BoLA DRB3.2 alleles and immune responses tended to be in the opposite sign for the 2 AMIR and CMIR traits examined. For example, alleles DRB3.2*3 and *24 were associated with higher AMIR but lower CMIR, whereas allele *22 was associated with lower AMIR but higher CMIR. This finding is in agreement with the hypothesis that both traits are genetically independent and represent opposing type 1 and type 2 immune responses. Additionally, BoLA DRB3.2*3 and *11 were associated with lower SCC, whereas alleles *22 and *23 were associated with higher SCC. Finally, allele DRB3.2*3 was also associated with less clinical mastitis, whereas allele *8 was associated with higher mastitis risk. Allele *3 was of particular relevance because it was associated with increased antibodies, as well as reduced mastitis and SCC. This could be due to an indirect relationship between the ability to produce a high antibody response and enhanced defense against intrammamary infections caused by extracellular pathogens. Consequently, the BoLA DRB3.2*3 allele should be investigated further as a candidate for resistance to some types of intramammary infections, the important caveat being its association with lower CMIR, particularly with one of the test antigens used to evaluate delayed-type hypersensitivity. The results of associations between BoLA DRB3.2 and production traits were, in some cases, antagonistic in that BoLA DRB3.2 alleles *11 and *23, which are associated with increased production traits, were associated with lower and higher SCC, respectively. Collectively, these findings advocate the use of alleles *3, *23, and *22 as reference points for more detailed mechanistic studies. This does not imply that genetic selection for mastitis resistance should be based on BoLA alleles, but that information on a variety of genes may aid in identification and selection for improved health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.237
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it