Evidence map›Paper›PMID 26753841›Full record

ArticleBMC genomics2016

Identification and validation of risk loci for osteochondrosis in standardbreds.

Annette M McCoy, Samantha K Beeson, Rebecca K Splan, Sigrid Lykkjen, Sarah L Ralston, James R Mickelson, Molly E McCue

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.2field-weighted citation impact, top 1% of its field
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

15 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Single-Step Genome-Wide Association Study of Factors for Evaluated and Linearly Scored Traits in Swedish Warmblood Horses.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors at 4 institutions in 2 countries.

Annette M McCoyVeterinary Population Medicine Department, University of Minnesota, 1365 Gortner Ave., St. Paul, MN, USA. mccoya@illinois.edu.
Samantha K BeesonVeterinary Population Medicine Department, University of Minnesota, 1365 Gortner Ave., St. Paul, MN, USA. beeso018@umn.edu.
Rebecca K SplanDepartment of Animal and Poultry Sciences, Virginia Tech, 3470 Litton Reaves Hall, Blacksburg, VA, USA. rsplan@vt.edu.
Sigrid LykkjenFaculty of Veterinary Medicine and Biosciences, Norwegian University of Life Sciences, NMBU-School of Veterinary Science, P.O. Box 8146 Dep., Oslo, Norway. sigrid.lykkjen@nmbu.no.
Sarah L RalstonSchool of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, 84 Lipman Dr., New Brunswick, NJ, USA. ralstonvmd@msn.com.
James R MickelsonVeterinary Biological Sciences Department, University of Minnesota, 1988 Fitch Ave., St. Paul, MN, USA. micke001@umn.edu.
Molly E McCueVeterinary Population Medicine Department, University of Minnesota, 1365 Gortner Ave., St. Paul, MN, USA. mccu0173@umn.edu.
University of Minnesota · USNorwegian University of Life Sciences · NORutgers, The State University of New Jersey · USVirginia Tech · US

Funding

TRAINING PROGRAM IN MUSCLE RESEARCHT32AR007612 · NIAMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JAMES M ERVASTI, DAWN A LOWE · 2001 to 2026
$11.3M
Comparative Medicine and Pathology TrainingT32OD010993 · OD · UNIVERSITY OF MINNESOTA · PI DAVID R BROWN, Cathy S. Carlson · 2012 to 2026
$6.2M
Regulation of Glycogen Metabolism: Insights from Novel Genetic ModelsK08AR055713 · NIAMS · UNIVERSITY OF MINNESOTA · PI MCCUE, MOLLY E · 2009 to 2013
$644k
Genetic bases of exercise induced rhabdomyolysisF30OD023369 · OD · UNIVERSITY OF MINNESOTA · PI BEESON, SAMANTHA K · 2017 to 2020
$181k
NIAMS NIH HHS 1K08AR055713-01A2NIAMS NIH HHS K08 AR055713NIAMS NIH HHS T32 AR007612NIH HHS F30 OD023369NIH HHS T32 OD010993
6 · The paper itself

Abstract

backgroundOsteochondrosis (OC), simply defined as a failure of endochondral ossification, is a complex disease with both genetic and environmental risk factors that is commonly diagnosed in young horses, as well as other domestic species. Although up to 50 % of the risk for developing OC is reportedly inherited, specific genes and alleles underlying risk are thus far completely unknown. Regions of the genome identified as associated with OC vary across studies in different populations of horses. In this study, we used a cohort of Standardbred horses from the U.S. (n = 182) specifically selected for a shared early environment (to reduce confounding factors) to identify regions of the genome associated with tarsal OC. Subsequently, putative risk variants within these regions were evaluated in both the discovery population and an independently sampled validation population of Norwegian Standardbreds (n = 139) with tarsal OC.

resultsAfter genome-wide association analysis of imputed data with information from >200,000 single nucleotide polymorphisms, two regions on equine chromosome 14 were associated with OC in the discovery cohort. Variant discovery in these and 30 additional regions of interest (including 11 from other published studies) was performed via whole-genome sequencing. 240 putative risk variants from 10 chromosomes were subsequently genotyped in both the discovery and validation cohorts. After correction for population structure, gait (trot or pace) and sex, the variants most highly associated with OC status in both populations were located within the chromosome 14 regions of association.

conclusionsThe association of putative risk alleles from within the same regions with disease status in two independent populations of Standardbreds suggest that these are true risk loci in this breed, although population-specific risk factors may still exist. Evaluation of these loci in other populations will help determine if they are specific to the Standardbred breed, or to tarsal OC or are universal risk loci for OC. Further work is needed to identify the specific variants underlying OC risk within these loci. This is the first step towards the long-term goal of constructing a genetic risk model for OC that allows for genetic testing and quantification of risk in individuals.

Indexed as

HorsesAnimalsGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHorse DiseasesOsteochondrosisPolymorphism, Single NucleotideQuantitative Trait LociRisk Factors

Identifiers

PMID26753841
PMCPMC4709891
OpenAlexW2233451791

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.