Predicted genetic burden and frequency of phenotype-associated variants in the horse

S. A. Durward-Akhurst, J. L. Marlowe, R. J. Schaefer, K. Springer, B. Grantham, W. K. Carey, R. R. Bellone, J. R. Mickelson, M. E. McCue

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Disease-causing variants have been identified for less than 20% of suspected equine genetic diseases. Whole genome sequencing (WGS) allows rapid identification of rare disease causal variants. However, interpreting the clinical variant consequence is confounded by the number of predicted deleterious variants that healthy individuals carry (predicted genetic burden). Estimation of the predicted genetic burden and baseline frequencies of known deleterious or phenotype associated variants within and across the major horse breeds have not been performed. We used WGS of 605 horses across 48 breeds to identify 32,818,945 variants, demonstrate a high predicted genetic burden (median 730 variants/horse, interquartile range: 613–829), show breed differences in predicted genetic burden across 12 target breeds, and estimate the high frequencies of some previously reported disease variants. This large-scale variant catalog for a major and highly athletic domestic animal species will enhance its ability to serve as a model for human phenotypes and improves our ability to discover the bases for important equine phenotypes.

Original languageEnglish (US)
Article number8396
JournalScientific reports
Volume14
Issue number1
DOIs
StatePublished - Dec 2024

Bibliographical note

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© The Author(s) 2024.

PubMed: MeSH publication types

  • Journal Article

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