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Exploring skeletal disorders in cattle and sheep: a WGS-based framework for diagnosis and classification
Joana Jacinto1,2, Anna Letko3, Arcangelo Gentile4
1Clinic for Ruminants, Vetsuisse Faculty, University of Bern, CH-3012, Bern, Switzerland. joana.jacinto@unibe.ch.
This study proposes a novel nosology for genetic skeletal disorders in ruminants, identifying causal variants through whole-genome sequencing (WGS) and achieving a 64% diagnostic rate. This classification aids in precise diagnosis of bone and cartilage development defects.
Area of Science:
- Veterinary Genetics
- Comparative Genomics
- Animal Science
Background:
- Genetic skeletal disorders in ruminants are diverse and often sporadic, with limited identified causal variants.
- Comprehensive genetic analyses of bovine and ovine skeletal defects are lacking.
- Understanding these genetic conditions is crucial for animal health and breeding.
Purpose of the Study:
- To establish a nosology for genetic skeletal disorders in cattle and sheep.
- To identify novel causative genetic variants in affected ruminants.
- To contribute genomic data to the classification of these developmental defects.
Main Methods:
- Literature review to compile existing knowledge and propose a nosology.
- Whole-genome sequencing (WGS) of affected bovine and ovine cases.
- Bioinformatic analysis to identify single nucleotide variants (SNVs), small insertions/deletions (indels), and aneuploidies.
Main Results:
- A nosology encompassing 43 disorders and 45 genes was proposed, including horn traits.
- Genomic analysis identified 17 candidate variants (11 pathogenic, 6 likely pathogenic) for 12 disorders, and two aneuploidies.
- The molecular genetic diagnostic rate was 64%, with various inheritance patterns detected.
Conclusions:
- Genomic analysis highlights significant heterogeneity in genetic skeletal disorders.
- A proposed nosology offers a framework for precise differential diagnosis in veterinary medicine.
- WGS is a powerful tool for enhancing genetic disease diagnosis in ruminants.
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