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Investigations into the genetics of atopic dermatitis in guide dogs

2024· other· en· W7001321410 sur OpenAlexaboutno aff

Notice bibliographique

RevueNottingham ePrints (University of Nottingham) · 2024
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAtopic dermatitisHeritabilitySingle-nucleotide polymorphismMelanocortin 1 receptorLabrador RetrieverGenetic associationGenetic variationBreedGenome-wide association study
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Canine atopic dermatitis (cAD) is a common pruritic, inflammatory condition resulting from an immune response to heightened allergen sensitivity that usually manifests in the skin leading to an ‘itch-scratch’ cycle. Differential prevalence among breeds points to genetic variation in predisposition, and various environmental influences have been reported. It is the most common cause of withdrawals among in-training and working guide dogs, representing a major cost to the organisation not just from withdrawals but also in the treatment and management of affected dogs, as well as a major welfare burden on the affected dogs themselves. This study merged, validated, and utilised existing single nucleotide polymorphism (SNP) array data gathered from 347 Labrador and Labrador x Golden Retriever cross guide dogs born between 2001 and 2019 which had been collected for other collaborative research projects. Binary diagnoses of cAD were determined from health records and used as the phenotype in analysis. An additional phenotype of melanin type, which can be discerned from coat colour and which is known to be wholly determined by a point mutation at the Melanocortin 1 receptor gene on chromosome 5, was also analysed to demonstrate the legitimacy of methods and against which to compare results which may inform of aetiology. The heritability estimates of cAD ranged from 0.42 to 0.62, from analysis of breed groups separately or together, demonstrating substantial genetic variation in affectation. The heritability estimates for melanin type approached 1 as would be expected. Genome-wise association revealed 5 SNPs with an association with cAD of suggestive significance (P<10-5), but none remained after correction for multiple testing. Comparison of QQ and Manhattan plots implied a different aetiology for cAD to melanin type, comprising a large number of genes with modest association distributed across chromosomes. Clusters of SNPs of modest association with cAD revealed regions of interest, and genes located therein were compiled into a short- and longlist for functional annotation analysis. Several clusters of functional annotation terms appeared to be significantly enriched, including epidermal growth factor (EGF) domains and protein glycosylation, neurological function around the synapse, cellular differentiation, kinase mediated regulation, cellular transport/secretion, Zinc-finger transcriptional regulation, protein modification and cell membrane. Significantly enriched functional annotation terms were focussed on the EGF-like domains and Teneurins, both functionally diverse but also both involved in cell-to-cell adhesion which could impact the functionality of the skin barrier. About 40% of genes in both the long- and shortlist were indicated as being expressed in the skin, and several were good candidates based on reported function and associations. For example, the gene glucosaminyl(N-acetyl) transferase 2 (GCNT2) has a role in the transdifferentiation of epithelial cells to mesenchymal cells in injured tissues during inflammation, which could have an influence in maintenance and healing of the skin barrier. The gene striatin (STRN) is an intracellular binding protein expressed in the skin and is involved in tight cell junctions, which are known to act as the ‘seal’ between epithelial cells and have previously been reported as associated with cAD. The results from this study support and corroborate the complex aetiology of cAD. There are multiple reports of differing genes associated with cAD among different breeds and populations, but many have similar functional annotation themes, as do those reported here. These reflect the known biological processes and systems that are involved, including regulation of the cell cycle and interleukin production, protein binding and intracellular signalling, cell differentiation and cell junction, and cell membrane signalling and trafficking. The complexity of the networks of physiological processes and pathways involved which underpin the growth and formation of the skin barrier and the immune response provide ample scope for the existence of epi-genetic modification and epistatic interaction. However, given the heterogenous but heritable nature of the disease, selection represents the most viable means of reducing the prevalence of cAD among guide dogs.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,245
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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