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<i>IGF2</i> gene characterization and association with rib eye area in beef cattle

2007· article· en· W1524830710 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.

Bibliographic record

VenueAnimal Genetics · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Saskatchewan
KeywordsBiologyExonSNPIntronGeneticsSingle-nucleotide polymorphismAlleleInsulin-like growth factor 2GeneBeef cattlePseudogeneMolecular biologyGenotypeGene expressionGenome

Abstract

fetched live from OpenAlex

Insulin-like growth factor 2 (IGF2) is an imprinted gene expressed in most tissues affecting lean muscle content in mice, pigs and cattle. We previously identified the bovine IGF2 c.-292C>T SNP in the non-translated exon 2. Using this SNP, we demonstrated biallelic expression of IGF2 after birth. Seven alternatively spliced mRNA transcripts of IGF2 were expressed among 15 tissues. An IGF2 pseudogene (psiIGF2) was identified with sequence identical to at least IGF2 exons 2 and 3 without the intervening intron. The biallelic expression of this c.-292C>T SNP was associated with an increase in rib eye area (REA) in two populations of cattle, with the C.-292C allele associated with a 10% increase. A significant association with per cent fat was found in one of the populations.

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)0.000
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 score0.312
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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