Exploring skeletal disorders in cattle and sheep: a WGS-based framework for diagnosis and classification

Genomic analysis revealed considerable heterogeneity of the described phenotypes in terms of mode of inheritance, affected genes, and variant type. We propose, for the first time in veterinary medicine, a nosology of genetic skeletal disorders in ruminants that may be useful for more precise differential clinicopathological diagnosis. We emphasize the potential of WGS to enhance genetic disease diagnosis and the importance of adopting a nosology for disease categorization.

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Publication Details

Journal
Genetics Selection Evolution
Published
2025-09-25
DOI
https://doi.org/10.1186/s12711-025-01002-z
Citations
1
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
1.82

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article

Exploring skeletal disorders in cattle and sheep: a WGS-based framework for diagnosis and classification

C.M. Lindgren, Markus Freick, Cord Drögemüller, Anna Letko et al.
1 citations
Genetics Selection Evolution
Genetic and phenotypic traits in livestock
1.82
article

Exploring skeletal disorders in cattle and sheep: a WGS-based framework for diagnosis and classification

C.M. Lindgren, Markus Freick, Cord Drögemüller, Anna Letko, Arcangelo Gentile, David Christian Evar Kraft, Marlene Sickinger, Irene M. Häfliger, S. F. E. Scholes, Joana G. P. Jacinto, T. Floyd, Rachael Collins, Cinzia Benazzi, Jože Starič, Harriet Fuller, Sara Soto, Imke Tammen, Gesine Lühken, Alwyn Jones, Moyna Richey, Marilena Bolcato, Brendon A. O’Rourke, Jørgen Steen Agerholm, Alessia Diana, Jim Weber, A. Otter, H. Carty, Ben Strugnell, E. Studer
article en
1 citations

Abstract

Genomic analysis revealed considerable heterogeneity of the described phenotypes in terms of mode of inheritance, affected genes, and variant type. We propose, for the first time in veterinary medicine, a nosology of genetic skeletal disorders in ruminants that may be useful for more precise differential clinicopathological diagnosis. We emphasize the potential of WGS to enhance genetic disease diagnosis and the importance of adopting a nosology for disease categorization.

Genetics Selection EvolutionVol. 57(1)
University of Bern (CH), University of Copenhagen (DK), The University of Sydney (AU), University of Ljubljana (SI), Animal and Plant Health Agency (GB), Justus-Liebig-Universität Gießen (DE), Aarhus University (DK), Bishop Auckland Hospital (GB), New South Wales Department of Primary Industries (AU), Scottish Health Services (GB), Moredun Research Institute (GB), Cotton Research and Development Corporation (AU), Martin Luther University Halle-Wittenberg (DE), University of Bologna (IT)
Johns Hopkins University, University of Bern
Openalex Percentile: Top 12%
Genetic and phenotypic traits in livestock
1.82
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