Evidence map›Paper›PMID 40999323›Full record

ArticleGenetics, selection, evolution : GSE2025

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

Joana Jacinto, Anna Letko, Arcangelo Gentile, Arthur Otter, Tobias Floyd, Rachael Collins, Moyna Richey, Helen Carty, Sandra Scholes, Alwyn Jones and 19 more

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

29 authors.

Joana Jacinto *Clinic for Ruminants, Vetsuisse Faculty, University of Bern, CH-3012, Bern, Switzerland. joana.jacinto@unibe.ch.ORCID http://orcid.org/0000-0002-6438-7975
Anna Letko *Institute of Genetics, Vetsuisse Faculty, University of Bern, CH-3012, Bern, Switzerland.
Arcangelo GentileDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano Dell'Emilia (Bologna), 40064, Bologna, Italy.
Arthur OtterAnimal and Plant Health Agency, Addlestone, UK.
Tobias FloydAnimal and Plant Health Agency, Addlestone, UK.
Rachael CollinsAnimal and Plant Health Agency, Addlestone, UK.
Moyna RicheyAnimal and Plant Health Agency, Addlestone, UK.
Helen CartySRUC Veterinary and Analytical Services, Pentlands Science Park, Bush Estate Loan, Midlothian, Penicuik, EH26 0PZ, UK.
Sandra ScholesSRUC Veterinary and Analytical Services, Pentlands Science Park, Bush Estate Loan, Midlothian, Penicuik, EH26 0PZ, UK.
Alwyn JonesSRUC Veterinary and Analytical Services, Pentlands Science Park, Bush Estate Loan, Midlothian, Penicuik, EH26 0PZ, UK.
Harriet FullerSheep & Beef Health Services, Ivington, Leominster, HR6 0JH, UK.
Irene M HäfligerInstitute of Genetics, Vetsuisse Faculty, University of Bern, CH-3012, Bern, Switzerland.
Ben StrugnellFarm Post Mortems Ltd, Hamsterley, Bishop Auckland, County Durham, DL13 3QF, UK.
Eveline StuderClinic for Ruminants, Vetsuisse Faculty, University of Bern, CH-3012, Bern, Switzerland.
Cinzia BenazziDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano Dell'Emilia (Bologna), 40064, Bologna, Italy.
Marilena BolcatoDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano Dell'Emilia (Bologna), 40064, Bologna, Italy.
Jože StaričClinic for Reproduction and Large Animals, Veterinary Faculty, University of Ljubljana, 1000, Ljubljana, Slovenia.
Alessia DianaDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano Dell'Emilia (Bologna), 40064, Bologna, Italy.
Jim WeberClinic for Ruminants, Vetsuisse Faculty, University of Bern, CH-3012, Bern, Switzerland.
Markus FreickInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany.
Gesine LühkenInstitute of Animal Breeding and Genetics, Justus Liebig University Giessen, 35390, Giessen, Germany.
Imke TammenSydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW, 2006, Australia.
David C E KraftDepartment of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
Celina M LindgrenDepartment of Veterinary Clinical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2630, Taastrup, Denmark.
Marlene SickingerClinic for Ruminants and Herd Health Management, Justus Liebig University Giessen, 35392, Giessen, Germany.
Sara SotoInstitute of Animal Pathology, Vetsuisse Faculty, University of Bern, Länggassstrasse 122, 3012, Bern, Switzerland.
Brendon A O'RourkeDepartment of Primary Industries and Regional Development, Elizabeth Macarthur Agricultural Institute, Woodbridge Road, Menangle, NSW, 2568, Australia.
Jørgen S AgerholmDepartment of Veterinary Clinical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 2630, Taastrup, Denmark.
Cord DrögemüllerInstitute of Genetics, Vetsuisse Faculty, University of Bern, CH-3012, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic skeletal disorders are a heterogeneous group of syndromic or non-syndromic diseases characterized by abnormal bone, joint or cartilage development. These disorders generally occur sporadically in ruminants. Although a genetic etiology is often suspected, only a limited number of causal variants have been identified and no comprehensive genetic analyses of a cohort of bovine and ovine skeletal developmental defects have been published. The aims of our study were (1) to propose a nosology of genetic skeletal disorders in cattle and sheep and (2) to contribute to the nosology with a number of novel genomically characterized cases.

resultsBased on a literature review, the proposed nosology of skeletal disorders in cattle and sheep with a confirmed molecular cause was found to comprise 43 different disorders associated with 45 different genes. In addition, horn traits were also included. The disorders were grouped into 21 categories based on the human medical nosology. Thirty novel bovine and nine ovine cases of congenital skeletal disorders were investigated. These represented 19 different disorders, which were grouped into 9 categories. Whole-genome sequencing (WGS) data were generated based on sample availability for either complete trios, affected paternal halfsiblings or isolated single cases. We identified 21 SNVs or small indels for 12 skeletal disorders. Of these, 17 were considered candidate variants affecting 16 different genes, including 11 that were classified as pathogenic and six as likely pathogenic. Additionally, the remaining 4 SNVs were of uncertain significance. Two aneuploidies (trisomy and partial monosomy) were the cause of two different disorders. For eight cases affected by six disorders no variant could be identified. Different modes of inheritance were detected, including spontaneous dominant de novo mutations, autosomal recessive alleles, an X-linked dominant allele, as well as aneuploidies. The overall molecular genetic diagnostic rate was 64%.

conclusionsGenomic 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.

Indexed as

Bone DiseasesCattle DiseasesSheep DiseasesAnimalsCattleFemaleMaleSheepWhole Genome Sequencing

Identifiers

PMID40999323
PMCPMC12465177

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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 OpenQuestion graph.