Article ; Online: A comparative medical genomics approach may facilitate the interpretation of rare missense variation.
2024
Abstract: Purpose: To determine the degree to which likely causal missense variants of single-locus traits in domesticated species have features suggestive of pathogenicity in a human genomic context.: Methods: We extracted missense variants from the Online ... ...
Abstract | Purpose: To determine the degree to which likely causal missense variants of single-locus traits in domesticated species have features suggestive of pathogenicity in a human genomic context. Methods: We extracted missense variants from the Online Mendelian Inheritance in Animals database for nine animals (cat, cattle, chicken, dog, goat, horse, pig, rabbit and sheep), mapped coordinates to the human reference genome and annotated variants using genome analysis tools. We also searched a private commercial laboratory database of genetic testing results from >400 000 individuals with suspected rare disorders. Results: Of 339 variants that were mappable to the same residue and gene in the human genome, 56 had been previously classified with respect to pathogenicity: 31 (55.4%) pathogenic/likely pathogenic, 1 (1.8%) benign/likely benign and 24 (42.9%) uncertain/other. The odds ratio for a pathogenic/likely pathogenic classification in ClinVar was 7.0 (95% CI 4.1 to 12.0, p<0.0001), compared with all other germline missense variants in these same 220 genes. The remaining 283 variants disproportionately had allele frequencies and REVEL scores that supported pathogenicity. Conclusion: Cross-species comparisons could facilitate the interpretation of rare missense variation. These results provide further support for comparative medical genomics approaches that connect big data initiatives in human and veterinary genetics. |
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Language | English |
Publishing date | 2024-03-20 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 220881-7 |
ISSN | 1468-6244 ; 0022-2593 |
ISSN (online) | 1468-6244 |
ISSN | 0022-2593 |
DOI | 10.1136/jmg-2023-109760 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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