Evidence map›Paper›PMID 31949252›Full record

ArticleScientific reports2020

Genomic inbreeding trends, influential sire lines and selection in the global Thoroughbred horse population.

Beatrice A McGivney, Haige Han, Leanne R Corduff, Lisa M Katz, Teruaki Tozaki, David E MacHugh, Emmeline W Hill

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 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

7 authors at 3 institutions in 2 countries.

Beatrice A McGivneyPlusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, Ireland.ORCID http://orcid.org/0000-0002-8841-4544
Haige HanPlusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, Ireland.
Leanne R CorduffPlusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, Ireland.
Lisa M KatzUCD School of Veterinary Medicine, University College Dublin, Dublin, Ireland.
Teruaki TozakiGenetic Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Tochigi, Japan.ORCID http://orcid.org/0000-0001-8797-6644
David E MacHughUCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
Emmeline W HillPlusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, Ireland. Emmeline.Hill@ucd.ie.ORCID http://orcid.org/0000-0002-1805-2250
University College Dublin · IEPlusvital (Ireland) · IELaboratory of Racing Chemistry · JP

Funding

Science Foundation Ireland (SFI) 11/PI/1166
6 · The paper itself

Abstract

The Thoroughbred horse is a highly valued domestic animal population under strong selection for athletic phenotypes. Here we present a high resolution genomics-based analysis of inbreeding in the population that may form the basis for evidence-based discussion amid concerns in the breeding industry over the increasing use of small numbers of popular sire lines, which may accelerate a loss of genetic diversity. In the most comprehensive globally representative sample of Thoroughbreds to-date (n = 10,118), including prominent stallions (n = 305) from the major bloodstock regions of the world, we show using pan-genomic SNP genotypes that there has been a highly significant decline in global genetic diversity during the last five decades (F

Indexed as

Genetics, PopulationGenomeInbreedingPolymorphism, Single NucleotideSelection, GeneticAnimalsGenomicsGenotypeHorsesPhenotype

Identifiers

PMID31949252
PMCPMC6965197
OpenAlexW2999283606

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.