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Record W2414677380

Genome-wide Association Analyses for Mastitis in Canadian Holsteins

2014· article· en· W2414677380 on OpenAlexaboutno aff
D.A. Grossi, Mohammed Abo-Ismail, A. Koeck, Stephen P. Miller, Paul Stothard, Graham Plastow, F. Miglior, S. S. Moore, Mehdi Sargolzaei, Flávio S. Schenkel

Bibliographic record

VenueFigshare · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsnot available
Fundersnot available
KeywordsMastitisGenome-wide association studyBiologyAssociation (psychology)GeneticsGenotypeMicrobiologySingle-nucleotide polymorphismGenePsychology
DOInot available

Abstract

fetched live from OpenAlex

The objective of this study was to identify genomic regions associated with resistance to mastitis in Canadian Holsteins. The analyzed data contained 2,608 breeding values for mastitis and 296,672 SNPs. A generalized quasi-likelihood score test and a positive false discovery rate of 10% identified the significant SNPs. Most of the significant SNP were on chromosomes 6 (21%), 14 (21%), 16 (16%), 20 (9%), 7 (6%), and 9 (5%). The genes mapping to these regions were enriched for pathways of the immune system or lipid and carbohydrate metabolism. Results also suggest that there are additional candidate regions associated with immune system and mastitis on chromosomes 2, 3, 13, and 22.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.272
Teacher spread0.243 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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