ArticleJournal of veterinary internal medicine2019
Evaluation of an HMGA2 variant for pleiotropic effects on height and metabolic traits in ponies.
Article in Journal of veterinary internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.
- Genome-Wide Association Analyses of Equine Metabolic Syndrome Phenotypes in Welsh Ponies and Morgan Horses.Genes · 2019Pooled it
- Prevalence of insulin dysregulation in a sport horse population as determined by traditional and stall-side testing.Equine veterinary journal · 2026Article
- Review: Genomic insights into the adaptive traits and stress resistance in modern horses.Stress biology · 2026Review
- A genome-wide investigation of insidious uveitis in Appaloosa horses.BMC genomics · 2025Article
- Whole-Genome Scanning for Selection Signatures Reveals Candidate Genes Associated with Growth and Tail Length in Sheep.Animals : an open access journal from MDPI · 2024Article
- Genetic diversity and signatures of selection in four indigenous horse breeds of Iran.Heredity · 2023Article
- Equine Metabolic Syndrome: A Complex Disease Influenced by Multifactorial Genetic Factors.Genes · 2023Review
- Survey of the knowledge and perceptions of horse owners in Ireland of common clinical conditions and their impact.Equine veterinary journal · 2023Article
- Selection signatures for local and regional adaptation in Chinese Mongolian horse breeds reveal candidate genes for hoof health.BMC genomics · 2023Article
- Equine metabolic syndrome in UK native ponies and cobs is highly prevalent with modifiable risk factors.Equine veterinary journal · 2021Article
- Pathways involved in pony body size development.BMC genomics · 2021Article
- Clinical implications of using adrenocorticotropic hormone diagnostic cutoffs or reference intervals to diagnose pituitary pars intermedia dysfunction in mature horses.Journal of veterinary internal medicine · 2021Article
- Genetic Variation and the Distribution of Variant Types in the Horse.Frontiers in genetics · 2021Article
- The Genetic Basis of Obesity and Related Metabolic Diseases in Humans and Companion Animals.Genes · 2020Review
- HMGA Genes and Proteins in Development and Evolution.International journal of molecular sciences · 2020Review
- Identification of Novel lncRNAs Differentially Expressed in Placentas of Chinese Ningqiang Pony and Yili Horse Breeds.Animals : an open access journal from MDPI · 2020Article
- Ten years of the horse reference genome: insights into equine biology, domestication and population dynamics in the post-genome era.Animal genetics · 2019Review
- Article
- Evaluation of an HMGA2 variant for pleiotropic effects on height and metabolic traits in ponies.Journal of veterinary internal medicine · 2019Article
- Evaluation of an HMGA2 variant contribution to height and basal insulin concentrations in ponies.Journal of veterinary internal medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundPonies are highly susceptible to metabolic derangements including hyperinsulinemia, insulin resistance, and adiposity. HYPOTHESIS/
objectivesGenetic loci affecting height in ponies have pleiotropic effects on metabolic pathways and increase the susceptibility to equine metabolic syndrome (EMS). ANIMALS: Two hundred ninety-four Welsh ponies and 529 horses.
methodsRetrospective study of horses phenotyped for metabolic traits. Correlations between height and metabolic traits were assessed by Pearson's correlation coefficients. Complementary genome-wide analysis methods were used to identify a region of interest (ROI) for height and metabolic traits, determine the fraction of heritability contributed by the ROI, and identify candidate genes.
resultsThere was an inverse relationship between height and baseline insulin (-0.26) in ponies. Genomic signature of selection and association analyses for both height and insulin identified the same ~1.3 megabase region on chromosome 6 that contained a shared ancestral haplotype between these traits. The ROI contributed ~40% of the heritability for height and ~20% of the heritability for insulin. High-mobility group AT-hook 2 was identified as a candidate gene, and Sanger sequencing detected a c.83G>A (p.G28E) variant associated with height in Shetland ponies. In our cohort of ponies, the A allele had a frequency of 0.76, was strongly correlated with height (-0.75), and was low to moderately correlated with metabolic traits including: insulin (0.32), insulin after an oral sugar test (0.25), non-esterified fatty acids (0.19), and triglyceride (0.22) concentrations. CONCLUSIONS AND CLINICAL IMPORTANCE: These data have important implications for identifying individuals at risk for EMS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.