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Imputation accuracy and carrier frequency of deleterious recessive defects in Australian dairy cattle.
van den Berg, I; Nguyen, T V; Nguyen, T T T; Pryce, J E; Nieuwhof, G J; MacLeod, I M.
Afiliação
  • van den Berg I; Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia. Electronic address: irene.vandenberg@agriculture.vic.gov.au.
  • Nguyen TV; Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia.
  • Nguyen TTT; DataGene, 5 Ring Road, Bundoora, Victoria, 3083, Australia.
  • Pryce JE; Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, 3083, Australia.
  • Nieuwhof GJ; DataGene, 5 Ring Road, Bundoora, Victoria, 3083, Australia.
  • MacLeod IM; Agriculture Victoria, AgriBio, Centre for AgriBioscience, 5 Ring Road, Bundoora, Victoria, 3083, Australia; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, 3083, Australia.
J Dairy Sci ; 2024 Jun 28.
Article em En | MEDLINE | ID: mdl-38945256
ABSTRACT
Widespread genotyping has enabled the identification of putative recessive mutations that affect fertility through early embryonic fetal loss, or compromise neonate or calf viability. The use of artificial insemination in the global dairy population can rapidly spread these harmful mutations, and testing for multiple mutations can become relatively expensive if not all tests are available on the same SNP panel. However, it is possible to provide heifer and cow predicted carrier status to farmers at no additional cost if the animals are genotyped with a standard SNP panel. Additionally, for defects where the causal mutation is unknown, but a haplotype of markers has been associated with the defect, the carrier status can be predicted based on that haplotype. The aims of this study were 3-fold 1) to determine the accuracy of imputation of putative causal mutations for recessive deleterious conditions in Australian dairy cattle, 2) to impute carrier status for known recessive deleterious conditions in all genotyped Australian Holstein, Jersey and Red breed cows, and 3) to determine the changes in carrier frequencies across time for these recessive deleterious mutations. We used the F1 statistic, combining precision and recall, to assess the accuracy of carrier status prediction. We showed that known deleterious mutations can be accurately imputed in Australian Holstein and Jersey cattle that are not directly genotyped for the causal mutation, with F1 ranging between 0.88 and 0.99. For recessive deleterious conditions not included on the standard Australian SNP panel, carrier status could be predicted using a marker haplotype, with F1 ranging from 0.91 to 0.92. Most putative causals and haplotypes were either stable with a low carrier percentage or had a declining carrier percentage. However, several recessive mutations showed a relatively high or increasing percentage, highlighting the importance of detecting carriers to reduce the number of at risk matings. Furthermore, the high carrier percentage of the recently identified Bovine Lymphocyte Intestinal Retention Defect (BLIRD) mutation emphasizes the importance of detection of novel mutations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Dairy Sci / J. dairy sci / Journal of dairy science Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Dairy Sci / J. dairy sci / Journal of dairy science Ano de publicação: 2024 Tipo de documento: Article