Evidence map›Paper›PMID 38600096›Full record

ArticleScientific reports2024

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

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Whole Genome Data Uncover the Complex Origins of Polish Konik Horses.Animals : an open access journal from MDPI · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Myosin Heavy Chain Myopathy and Immune-Mediated Muscle Disorders.The Veterinary clinics of North America. Equine practice · 2025
    Review
  9. Article
  10. Online Mendelian Inheritance in Animals (OMIA): a genetic resource for vertebrate animals.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Review
  11. Article
  12. Animals : an open access journal from MDPI · 2024
    Article
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

9 authors.

S A Durward-AkhurstDepartment of Veterinary Clinical Sciences, University of Minnesota, C339 VMC, 1353 Boyd Avenue, St. Paul, MN, 55108, USA. durwa004@umn.edu.
J L MarloweDepartment of Veterinary Clinical Sciences, University of Minnesota, C339 VMC, 1353 Boyd Avenue, St. Paul, MN, 55108, USA.
R J SchaeferDepartment of Veterinary Population Medicine, University of Minnesota, 225 VMC, 1365 Gortner Avenue, St. Paul, MN, 55108, USA.
K SpringerDepartment of Veterinary Population Medicine, University of Minnesota, 225 VMC, 1365 Gortner Avenue, St. Paul, MN, 55108, USA.
B GranthamInterval Bio LLC, 408 Stierline Road, Mountain View, CA, 94043, USA.
W K CareyInterval Bio LLC, 408 Stierline Road, Mountain View, CA, 94043, USA.
R R BelloneVeterinary Genetics Laboratory, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA.
J R MickelsonDepartment of Veterinary and Biomedical Sciences, University of Minnesota, 295F Animal Science Veterinary Medicine Building, 1988 Fitch Avenue, St. Paul, MN, 55108, USA.
M E McCueDepartment of Veterinary Population Medicine, University of Minnesota, 225 VMC, 1365 Gortner Avenue, St. Paul, MN, 55108, USA.

Funding

Morris Animal Foundation D20EQ-403Office of Research Infrastructure Programs, National Institutes of Health 5T320D010993-12USDA NIFA-AFRI 2017-67015-26296
6 · The paper itself

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.

Indexed as

BreedingGenomeAnimalsHorsesHumansPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID38600096
PMCPMC11006912

What OpenQuestion 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 OpenQuestion graph.