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Record W1983943315 · doi:10.1134/s1022795415020106

LEP gene allelic polymorphism in a subpopulation of Ayrshire cattle

2015· article· en· W1983943315 on OpenAlexaff
N. V. Kovaljuk, В. Ф. Сацук, A. E. Volchenko, E. V. Machulskaja

Bibliographic record

VenueRussian Journal of Genetics · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsASTER
Fundersnot available
KeywordsBiologyGenotypeAlleleGenotypingSireLocus (genetics)GeneticsPolymorphism (computer science)Animal scienceVeterinary medicineGeneMedicine

Abstract

fetched live from OpenAlex

Genotyping of the leptin gene locus (LEP) (SNP: R25C, Y7F, and A80V) has been conducted in cows from two cattle droves (n = 106 and n = 34) and in bulls of Ayrshire cattle (n = 9) that are intensively used at present for artificial insemination in cows in Krasnodar krai. The absence of A80V polymorphism (C --> T at position 95691973 bp of leptin gene) has been established in the genotypes of Ayrshire cattle as compared to Holstein cattle; however, the F allele (Y7F site A --> T at position 95689996 bp of LEP gene), which is rare in Holstein cattle, was shown to be frequent in Ayrshire cows and producer bulls (with a frequency of 0.22-0.79). The heterozygosity did not exceed 0.11 in adult animals, which might be evidence of a decreased vitality in animals bearing the FF genotype. Moreover, the CC genotype (R25C site T-C at position 95690050 bp of LEP gene) was revealed to be linked to the YY genotype (Y7F site) in 97% of cases from possible combinations of the CCYY, CCYF, and CCFF genotypes, while the FF genotype (Y7F site) was observed to be linked to the RR genotype (R25C site) in 100% of cases of possible combinations of FFCC, FFRC, and FFRR genotypes.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.526
Threshold uncertainty score0.114

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.082
GPT teacher head0.268
Teacher spread0.186 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2015
Admission routes1
Has abstractyes

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