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Record W3138451088

Association of SNP in the CCL2, IL8, CCR2, and CXCR1 genes with health and production traits in Canadian Holsteins

2007· dissertation· en· W3138451088 on OpenAlexaboutno aff
Ivan Leyva-Baca

Bibliographic record

VenueThe Atrium (University of Guelph) · 2007
Typedissertation
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSNPGenome-wide association studyGeneBiologyGeneticsCCL2Association (psychology)Genetic associationSingle-nucleotide polymorphismGenotypeChemokinePsychology
DOInot available

Abstract

fetched live from OpenAlex

Chemokines and their receptors contribute to leukocyte trafficking to the mammary gland, and may play an important role in the host immune response during acute and chronic intramammary infections. Therefore, identification of SNP in coding and regulatory sequences from chemokine genes is fundamental for understanding chemokine function and gene expression in response to infectious diseases. The aim of this study was to identify the presence of SNP in chemokine and chemokine receptor genes and their 5' regulatory regions, to assess their potential contribution to variation in estimated breeding values (EBV) for somatic cell score (SCS) and production traits of Holstein bulls. A DNA pool was constructed for SNP detection by sequencing using equal amounts of DNA from bulls with high (H) and low (L) EBV for SCS. Using this approach, we were able to detect SNP with a frequency as low as 1%, and 16 SNP in various chemokines and chemokines receptor genes. The SNP in 'CCL2' (n = 2), 'CXCL8' (n = 5), 'CXCR1' (n = 4) and ' CCR2' (n = 1) were genotyped in Canadian Holstein bulls (n = 338) using Tetra Primer ARMS-PCR. Average allele substitution effects were estimated to investigate associations between the 12 SNP and EBV for SCS and production traits. The SNP 'CXCR1c.-1768T>A' was found the most significantly associated with EBV for SCS in the first ('P' = 0.019) and second ('P' = 0.035) lactations at comparison-wise level, and across all lactations ('P' = 0.007) at experimental-wise level. Given the location of SNP 'CXCR1c.-1768T>A,' it may be implicated in gene regulation. To test this hypothesis, we evaluated the impact of ' CXCR1c.-1768T>A' SNP on 'CXCR1' expression by quantitative real-time PCR. Neutrophils were isolated from whole blood challenged with lipopolysaccharide (LPS) from cows with genotypes (AA n = 4, AT n = 5, and TT n = 5) at 0, 3 and 5h post 'in vitro' challenge. ' CXCR1' expression was significantly different in cows with the AA genotype, when compared to the AT and TT genotypes. Further analysis of the associtation between 'CXCR1c.'-1768T>A SNP and SCS is warranted before this genetic marker can be implemented in a selective breeding program.

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 score0.355
Threshold uncertainty score0.715

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.019
GPT teacher head0.263
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 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
Published2007
Admission routes1
Has abstractyes

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