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Record W4402541204 · doi:10.1093/jas/skae234.043

203 Genome Wide Association Study for reduced dry period in dairy goats

2024· article· en· W4402541204 on OpenAlexaffabout
Bruno A. Galindo, Erin Massender, Isis C Hermisdorff, Flávio S. Schenkel

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPeriod (music)Animal scienceBiologyDairy cattleGenome-wide association studyBiotechnologyGeneticsGeneGenotypeSingle-nucleotide polymorphism

Abstract

fetched live from OpenAlex

Abstract Canada’s goat herd is about 243,000 animals, with national yearly milk production of approximately 62.6 million L. However, the ongoing import of 182,000 kg of goat cheese highlights the potential for further expansion in milk production within the country. The period between two lactations when females are not producing milk is called the “dry period”, which ranges between 50 to 60 d in Ontario goats. Shortening the dry period without compromising animal health or production would be advantageous for producers. In Ontario, records have revealed a herd where a substantial percentage of animals experience a dry period between lactations as short as one day. A genomic study of this herd could provide an understanding regarding the genetic background of these short dry periods (= 1 d). The goal of this research was to perform a Genome Wide Association Study (GWAS) aiming to identify genes associated with dry period length. A total of 209 Saanen dairy goats with usual dry periods (coded as 0) and 54 with short dry periods (coded as 1) were analyzed. All animals were genotyped using GoatSNP50 Bead Chip from Illumina Inc. and, following genotyping quality control, 44,692 variants were retained for analysis. A GWAS using a mixed linear model implemented in GCTA software version v1.94.1 was performed, employing the “leave-one-chromosome-out” approach, excluding the chromosome containing the candidate SNP from the genetic relationship matrix (GRM) calculation. P-values were adjusted for multiple comparisons using the Benjamini & Hochberg method. Additionally, a qq-plot was used to assess possible inflation of the test statistic, but no inflation (λ=1.03) was observed. Four significant SNPs (FDR < 0.05) associated with short dry periods were identified, all located on chromosome 20. Subsequently, within a 60 k base pair range upstream and downstream of these markers, two candidate genes (OSMR and GHR) and one QTL associated with cannon bone circumference were identified. Of particular interest is the OSMR gene, previously linked to apoptosis in goat mammary gland mRNA profiles and showing increased mRNA and protein levels post-weaning in mice. Additionally, GHR gene has been associated with lactation persistency and various milk production traits in cows. The gene network analysis also revealed interactions between OSMR and GHR. This region on chromosome 20 seems to harbor genes influencing the dry period in dairy goats as well as the milk production traits. Further investigation of this genetic region could help increase the knowledge about the genetic background of the observed short dry periods.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.328
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes2
Has abstractyes

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