Evidence map›Paper›PMID 36513809›Full record

ArticleCommunications biology2022

Common protein-coding variants influence the racing phenotype in galloping racehorse breeds.

Haige Han, Beatrice A McGivney, Lucy Allen, Dongyi Bai, Leanne R Corduff, Gantulga Davaakhuu, Jargalsaikhan Davaasambuu, Dulguun Dorjgotov, Thomas J Hall, Andrew J Hemmings and 11 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 47 citations in OpenAlex.

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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

21 authors at 11 institutions in 6 countries.

Haige HanInner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Beatrice A McGivneyPlusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, A96 W5T3, Ireland.ORCID 0000-0002-8841-4544
Lucy AllenRoyal Agricultural University, Cirencester, Gloucestershire, GL7 6JS, UK.
Dongyi BaiInner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Leanne R CorduffPlusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, A96 W5T3, Ireland.
Gantulga DavaakhuuInstitute of Biology, Mongolian Academy of Sciences, Peace Avenue 54B, Ulaanbaatar, 13330, Mongolia.
Jargalsaikhan DavaasambuuAjnai Sharga Horse Racing Team, Encanto Town 210-11, Ikh Mongol State Street, 26th Khoroo, Bayanzurkh district, Ulaanbaatar, 13312, Mongolia.
Dulguun DorjgotovSchool of Industrial Technology, Mongolian University of Science and Technology, Ulaanbaatar, 661, Mongolia.
Thomas J HallUCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.ORCID 0000-0002-4116-3506
Andrew J HemmingsRoyal Agricultural University, Cirencester, Gloucestershire, GL7 6JS, UK.
Amy R HoltbyPlusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, A96 W5T3, Ireland.ORCID 0000-0002-7307-6159
Tuyatsetseg JambalSchool of Industrial Technology, Mongolian University of Science and Technology, Ulaanbaatar, 661, Mongolia.
Badarch JargalsaikhanDepartment of Obstetrics and Gynecology, Mongolian National University of Medical Sciences, Ulaanbaatar, 14210, Mongolia.
Uyasakh JargalsaikhanAjnai Sharga Horse Racing Team, Encanto Town 210-11, Ikh Mongol State Street, 26th Khoroo, Bayanzurkh district, Ulaanbaatar, 13312, Mongolia.
Naveen K KadriAnimal Genomics, Institute of Agricultural Sciences, ETH Zürich, Universitätstrasse 2, 8092, Zürich, Switzerland.ORCID 0000-0002-2799-3896
David E MacHughUCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.ORCID 0000-0002-8112-4704
Hubert PauschAnimal Genomics, Institute of Agricultural Sciences, ETH Zürich, Universitätstrasse 2, 8092, Zürich, Switzerland.ORCID 0000-0002-0501-6760
Carol ReadheadBiology and Bioengineering, California Institute of Technology, Pasadena, CA, 91125, USA.
David WarburtonThe Saban Research Institute, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90027, USA.
Manglai DugarjaviinInner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China. dmanglai@163.com.
Emmeline W HillPlusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, A96 W5T3, Ireland. emmeline.hill@ucd.ie.ORCID 0000-0002-1805-2250
Inner Mongolia Agricultural University · CNPlusvital (Ireland) · IEUniversity College Dublin · IEETH Zurich · CHHorse Hospital · GBMongolian University of Science and Technology · MNRoyal Agricultural University · GBCalifornia Institute of Technology · USMongolian Academy of Sciences · MNMongolian National University · MNUniversity of Southern California · US

Funding

NIH HHS NIEHS-1D43ES02286201Science Foundation Ireland 19FFP6879
6 · The paper itself

Abstract

Selection for system-wide morphological, physiological, and metabolic adaptations has led to extreme athletic phenotypes among geographically diverse horse breeds. Here, we identify genes contributing to exercise adaptation in racehorses by applying genomics approaches for racing performance, an end-point athletic phenotype. Using an integrative genomics strategy to first combine population genomics results with skeletal muscle exercise and training transcriptomic data, followed by whole-genome resequencing of Asian horses, we identify protein-coding variants in genes of interest in galloping racehorse breeds (Arabian, Mongolian and Thoroughbred). A core set of genes, G6PC2, HDAC9, KTN1, MYLK2, NTM, SLC16A1 and SYNDIG1, with central roles in muscle, metabolism, and neurobiology, are key drivers of the racing phenotype. Although racing potential is a multifactorial trait, the genomic architecture shaping the common athletic phenotype in horse populations bred for racing provides evidence for the influence of protein-coding variants in fundamental exercise-relevant genes. Variation in these genes may therefore be exploited for genetic improvement of horse populations towards specific types of racing.

Indexed as

GenomeGenome-Wide Association StudyAnimalsGenomicsHorsesPhenotypeSequence Analysis, DNA

Identifiers

PMID36513809
PMCPMC9748125
OpenAlexW4311361908

What Socratic 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 Socratic graph.