Genome-wide association study for milk yield, frame, and udder conformation traits of Gir dairy cattle.

Autor:	Dominguez-Castaño P; Faculdade de Ciências Agrárias e Veterinárias (FCAV), Universidade Estadual Paulista, Jaboticabal, São Paulo 14884-900, Brasil; Facultad de Ciencias Agrarias, Fundación Universitaria Agraria de Colombia-UNIAGRARIA, Bogotá 111166, Colombia; The University of Queensland, School of Chemistry and Molecular Biosciences, St Lucia, Brisbane, Queensland 4072, Australia. Electronic address: pd.castano@unesp.br., Fortes M; The University of Queensland, School of Chemistry and Molecular Biosciences, St Lucia, Brisbane, Queensland 4072, Australia., Tan WLA; The University of Queensland, School of Chemistry and Molecular Biosciences, St Lucia, Brisbane, Queensland 4072, Australia., Toro-Ospina AM; Science and Humanities Faculty, Digital University Institute of Antioquia, IUDigital, Medellin 50010, Colombia., Silva JAIV; Faculdade de Ciências Agrárias e Veterinárias (FCAV), Universidade Estadual Paulista, Jaboticabal, São Paulo 14884-900, Brasil; Faculdade de Medicina Veterinária e Zootecnia (FMVZ), Universidade Estadual Paulista, Botucatu, São Paulo 18618-000, Brasil. Electronic address: augusto.ii@unesp.br.
Jazyk:	angličtina
Zdroj:	Journal of dairy science [J Dairy Sci] 2024 Jul 25. Date of Electronic Publication: 2024 Jul 25.
DOI:	10.3168/jds.2024-24648
Abstrakt:	Genome-wide association studies (GWAS) are employed to identify genomic regions and candidate genes associated with several traits. The aim of this study was to perform a GWAS to identify causative variants and genes associated with milk yield, frame, and udder conformation traits in Gir dairy cattle. Body conformation traits were classified as "frame," and "udder" traits for this study. After genotyping imputation and quality control 42,105 polymorphisms were available for analyses and 24,489 cows with pedigree information had phenotypes. First, P-value was calculated based on the variance of the prediction error of the SNP-effects on the first iteration. After that, 2 more iterations were performed to carry out the weighted single-step genome-wide association methodology, performed using genomic moving windows defined based on linkage disequilibrium. The significant SNPs and top 10 windows explaining the highest percentage of additive genetic variance were selected and used for QTL and gene annotation. The variants identified in our work overlapped with QTLs from the animal QTL database on chromosomes 1 to 23, except for chromosome 4. The Gir breed is less studied than the Holstein breed and as such the animal QTL database is biased to Holstein results. Hence it is noteworthy that our GWAS had similarities with previously described QTLs. These previously known QTLs were related to milk yield, body height, rump angle, udder width, and udder depth. In total, 5 genes were annotated. Of these genes, FAM13A and CMSS1 had been previously related to bone and carcass weight in cattle. (© 2024, The Authors. Published by Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).)
Databáze:	MEDLINE
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