Evidence map›Paper›PMID 40151526›Full record

ArticleComputational and structural biotechnology journal2025

Whole exome sequencing as a screening tool in dogs: A pilot study.

Fréderique Boeykens, Evelien Bogaerts, Liesbeth Vossaert, Luc Peelman, Filip Van Nieuwerburgh, Jimmy H Saunders, Bart J G Broeckx

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fréderique BoeykensLaboratory of Animal Genetics, Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Evelien BogaertsDepartment of Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Liesbeth VossaertBaylor College of Medicine, Department of Molecular and Human Genetics, Houston, TX United States.
Luc PeelmanLaboratory of Animal Genetics, Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Filip Van NieuwerburghLaboratory of Pharmaceutical Biotechnology, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.
Jimmy H SaundersDepartment of Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Bart J G BroeckxLaboratory of Animal Genetics, Department of Veterinary and Biosciences, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Whole-exome sequencing (WES) is used to selectively sequence all exons of protein-coding genes. WES is considered as a cost-effective and direct approach for identifying phenotype-associated variants in protein-coding regions and is as such situated between the traditional Sanger sequencing and whole genome sequencing (WGS). While WES is already widely used as a clinical tool in human and medical genetics, its use in veterinary medicine is currently restricted to research purposes. In this article, we aimed to provide baseline performance characteristics of a WES design to assess its suitability with future applications in veterinary clinical genetics in mind. Methods: To assess the potential of WES in a clinical setting for dogs, 49 canine samples underwent capture, sequencing and analysis for the presence of 352 known phenotype-associated variants. The sequencing performance was compared for three types of variants, based on their size and location: single nucleotide variants (SNVs) inside exons, larger indel variants (≤20 bp) inside exons and intronic variants. Results: On average, 85 % and 82 % of the exonic SNPs and larger variants were sequenced at a sequencing depth of ≥ 10x in the 49 samples, respectively. In the best performing sample, 94 % of the exonic SNPs were covered at least 10x, whereas in the worst performing sample, still 71 % of the exonic SNPs had an average sequencing depth of more than 10x. Conclusion: To our knowledge, this is the first report that describes the performance of a research-intended WES design if it would be used in clinical genetics. This study found that WES demonstrated high efficacy in detecting variants located within target regions, including those that were not initially included in the design. However, the performance varied across different variants. The next steps would be the development of improved designs and settings to ameliorate the results.

Indexed as

Canine geneticsDiagnostic toolGeneticScreeningVariant detectionVeterinary clinical geneticsVeterinary diagnosticsWhole Exome Sequencing (WES)

Identifiers

PMID40151526
PMCPMC11946360

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.