Notice bibliographique
Résumé
Received: 2021-06-07 | Accepted: 2021-06-21 | Available online: 2021-12-31 https://doi.org/10.15414/afz.2021.24.04.309-314 Congenital malformations occur in numerous pig breeding programs. Clinical symptoms, etiopathogenesis and candidate genes of the most critical congenital malformations in pigs were briefly overviewed in the study. Based on the recent literature, identifying and evaluating the genomic regions associated with defects, such as splay legs syndrome, hernias, cryptorchidism, atresia ani, kyphosis, intersexuality, and malignant melanoma, can enhance the selection response. As promising genes were published e.g. NREP, FBXO32, and HOMER1 for splay leg syndrome, SRC, OSM, COL family, and CGRP for hernias, GNRHR, GATA2, and RLF for cryptorchidism, and GLI2 for atresia ani. Potential candidate genes associated with defects were mainly detected in literature by the genome-wide association approach. Reviewing the studies and following the suggestions in some of papers it is indicated the necessity for molecular and more comprehensive evaluation in terms of the sample standardisation and accurate phenotyping of a broad spectrum of populations and breeds. Moreover, knowledge transmission among all livestock species and humans is recommended in literature to better understand malformation biology. Keywords:  swine, congenital defects, health, association studies, genomic selection References Atkinson, M. et al. (2017). Evaluation of the effect of umbilical hernias on play behaviors in growing pigs. Canadian Veterian Journal, 58, 1065â1072. Bourneuf, E. et el. (2018). New susceptibility loci for cutaneous melanoma risk and progression revealed using a porcine model. Oncotarget, 9(45), 27682â27697. https://www.oncotarget.com/article/25455/text/ Brening, B. et al. (2015). Porcine SOX9 gene expression is influenced by an 18bp indel in the 5â-untranslated region. 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Congenital splay leg syndrome in piglets â current knowledge and a new approach to etiology. Frontiers in Veterinary Science, 8, 609883. https://doi.org/10.3389/fvets.2021.609883 Sevillano, C.A. et al. (2015). Genome-wide association study using deregressed breeding values for cryptorchidism and scrotal/inguinal hernia in two pig lines. Genetics Selection Evolution, 47, 18. https://doi.org/10.1186/s12711-015-0096-6 Stenberg, H. et al. (2020). A review of congenital tremor type A-II in piglets. Animal Health Research Reviews, 21, 84â88. https://doi.org/10.1017/S146625232000002X Szczerbal, I. et al. (2019). Elevated incidence of freemartinism in pigs detected by droplet digital PCR and cytogenetic techniques. Livestock Science, 219, 52â56. https://doi.org/10.1016/j.livsci.2018.11.009 Tomboc, M. et al. (2000). Insulin-like 3/Relaxin-like factor gene mutations are associated with cryptorchidism. 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Frontiers in Genetics, 10, 890. https://doi.org/10.3389/fgene.2019.00890 Žáková, E. et al. (2020). System of collection and storage of health data in the performance testing of pigs. Certified methodology. Prague: Institute of Animal Science, 17 p. http://vuzv.cz/en/publications/system-sberu-a-uchovanizdravotnich-dat-v-kontrole-uzitkovosti-prasat . In Czech.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».