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Whole exome sequencing as a screening tool in dogs: A pilot study
Fréderique Boeykens1, Evelien Bogaerts2, Liesbeth Vossaert3
1Laboratory of Animal Genetics, Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Whole-exome sequencing (WES) shows promise for canine clinical genetics, effectively identifying phenotype-associated variants. Further design improvements are needed to optimize performance across all variant types for broader veterinary applications.
Area of Science:
- Genomics
- Veterinary Genetics
- Molecular Diagnostics
Background:
- Whole-exome sequencing (WES) is a cost-effective method for identifying variants in protein-coding genes.
- While established in human medical genetics, WES is primarily a research tool in veterinary medicine.
- This study evaluates a WES design for potential clinical use in dogs.
Purpose of the Study:
- To assess the baseline performance characteristics of a WES design for veterinary clinical genetics.
- To determine the suitability of WES for identifying phenotype-associated variants in dogs.
Main Methods:
- 49 canine samples were analyzed using WES to detect 352 known phenotype-associated variants.
- Sequencing performance was compared for single nucleotide variants (SNVs) in exons, larger indels (≤20 bp) in exons, and intronic variants.
- Variant detection was assessed based on sequencing depth (≥10x).
Main Results:
- On average, 85% of exonic SNVs and 82% of larger exonic variants achieved ≥10x sequencing depth across 49 samples.
- Individual sample performance varied, with exonic SNV coverage ranging from 71% to 94% at ≥10x depth.
- The WES design showed efficacy in detecting variants within and outside the intended target regions.
Conclusions:
- This is the first report on the performance of a research-intended WES design for clinical veterinary genetics.
- WES demonstrated high efficacy in detecting variants, though performance varied by variant type and location.
- Future work should focus on developing improved WES designs and settings for veterinary clinical applications.
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