Evidence map›Paper›PMID 31698676›Full record

SynthesisGenes2019

Genome-Wide Association Analyses of Equine Metabolic Syndrome Phenotypes in Welsh Ponies and Morgan Horses.

Elaine Norton, Nichol Schultz, Ray Geor, Dianne McFarlane, James Mickelson, Molly McCue

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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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

6 authors at 3 institutions in 2 countries.

Elaine NortonVeterinary Population Medicine Department, University of Minnesota, St. Paul, MN 55108, USA.ORCID 0000-0001-9450-2893
Nichol SchultzVeterinary Population Medicine Department, University of Minnesota, St. Paul, MN 55108, USA.
Ray GeorCollege of Sciences, Massey University, Palmerston North 4442, New Zealand.
Dianne McFarlaneDepartment of Physiological Sciences, Oklahoma State University, Stillwater, OK 74078, USA.
James MickelsonVeterinary Biomedical Sciences Department, University of Minnesota; St. Paul, MN 55108, USA.
Molly McCueVeterinary Population Medicine Department, University of Minnesota, St. Paul, MN 55108, USA.
University of Minnesota · USMassey University · NZOklahoma State University · US

Funding

Foundation for the National Institutes of Health T32OD010996
6 · The paper itself

Abstract

Equine metabolic syndrome (EMS) is a complex trait for which few genetic studies have been published. Our study objectives were to perform within breed genome-wide association analyses (GWA) to identify associated loci in two high-risk breeds, coupled with meta-analysis to identify shared and unique loci between breeds. GWA for 12 EMS traits identified 303 and 142 associated genomic regions in 264 Welsh ponies and 286 Morgan horses, respectively. Meta-analysis demonstrated that 65 GWA regions were shared across breeds. Region boundaries were defined based on a fixed-size or the breakdown of linkage disequilibrium, and prioritized if they were: shared between breeds or across traits (high priority), identified in a single GWA cohort (medium priority), or shared across traits with no SNPs reaching genome-wide significance (low priority), resulting in 56 high, 26 medium, and seven low priority regions including 1853 candidate genes in the Welsh ponies; and 39 high, eight medium, and nine low priority regions including 1167 candidate genes in the Morgans. The prioritized regions contained protein-coding genes which were functionally enriched for pathways associated with inflammation, glucose metabolism, or lipid metabolism. These data demonstrate that EMS is a polygenic trait with breed-specific risk alleles as well as those shared across breeds.

Indexed as

AllelesAnimalsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsGenotypeHorsesInsulinLinkage DisequilibriumMaleMetabolic SyndromePhenotypePolymorphism, Single NucleotideQuantitative Trait LociRisk FactorsInsulinEMSfat metabolismgenetic risk factorsgeneticsgenome-wide association analysishorsesinsulin dysregulation

Identifiers

PMID31698676
PMCPMC6895807
OpenAlexW2983948884

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.