Evidence map›Paper›PMID 30836959›Full record

ArticleBMC genomics2019

High-resolution population structure and runs of homozygosity reveal the genetic architecture of complex traits in the Lipizzan horse.

Gertrud Grilz-Seger, Thomas Druml, Markus Neuditschko, Max Dobretsberger, Michaela Horna, Gottfried Brem

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.7field-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

28 citing papers in PubMed, 78 citations in OpenAlex.

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  11. Genetic Diversity of KazakhstaniVeterinary sciences · 2023
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  16. Genome-wide survey on three local horse populations with a focus on runs of homozygosity pattern.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2022
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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 3 countries.

Gertrud Grilz-SegerInstitute of Animal Breeding and Genetics, Department for Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210, Vienna, Austria.
Thomas DrumlInstitute of Animal Breeding and Genetics, Department for Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210, Vienna, Austria. thomas.druml@vetmeduni.ac.at.ORCID http://orcid.org/0000-0002-2777-4669
Markus NeuditschkoAgroscope, Swiss National Stud Farm, Les Longs Prés, CH-1580, Avenches, Switzerland.
Max DobretsbergerInstitute of Animal Breeding and Genetics, Department for Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210, Vienna, Austria.
Michaela HornaDepartment of Animal Husbandry, Slovak University of Agriculture in Nitra, Nitra-Chrenová, Slovak Republic.
Gottfried BremInstitute of Animal Breeding and Genetics, Department for Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210, Vienna, Austria.
University of Veterinary Medicine Vienna · ATAgroscope · CHSlovak University of Agriculture in Nitra · SK

Funding

Bundesministerium für Nachhaltigkeit und Tourismus (AT) 101332Österreichische Forschungsförderungsgesellschaft 843464
6 · The paper itself

Abstract

backgroundThe sample ascertainment bias due to complex population structures remains a major challenge in genome-wide investigations of complex traits. In this study we derived the high-resolution population structure and levels of autozygosity of 377 Lipizzan horses originating from five different European stud farms utilizing the SNP genotype information of the high density 700 k Affymetrix Axiom™ Equine genotyping array. Scanning the genome for overlapping runs of homozygosity (ROH) shared by more than 50% of horses, we identified homozygous regions (ROH islands) in order to investigate the gene content of those candidate regions by gene ontology and enrichment analyses.

resultsThe high-resolution population network approach revealed well-defined substructures according to the origin of the horses (Austria, Slovakia, Croatia and Hungary). The highest mean genome coverage of ROH (S

conclusionsWe demonstrated that the assessment of high-resolution population structures within one single breed supports the downstream genetic analyses (e.g. the identification of ROH islands). By means of ROH island analyses, we identified the genes SPRY4, NDFIP1, IMPDH2, HSP90AB1, which might play an important role for further studies on equine melanoma. Furthermore, our results highlighted the impact of the homeobox-A and B cluster involved in morphogenesis of Lipizzan horses.

Indexed as

Genetics, PopulationAnimalsFemaleGenomeGenotypeHomozygoteHorsesInbreedingMaleMultifactorial InheritancePhenotypePolymorphism, Single NucleotideHOXB cluster, selection signatureLipizzan horseMelanomaNetViewROH islandsRuns of homozygosity (ROH)

Identifiers

PMID30836959
PMCPMC6402180
OpenAlexW2930807165

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LicenceCC BY
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Registered trials

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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.