Evidence map›Paper›PMID 31640551›Full record

ArticleBMC genomics2019

Inter- and intra-breed genome-wide copy number diversity in a large cohort of European equine breeds.

Marina Solé, Michela Ablondi, Amrei Binzer-Panchal, Brandon D Velie, Nina Hollfelder, Nadine Buys, Bart J Ducro, Liesbeth François, Steven Janssens, Anouk Schurink and 6 more

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

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  17. Copy Number Variation (CNV): A New Genomic Insight in Horses.Animals : an open access journal from MDPI · 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

16 authors at 6 institutions in 5 countries.

Marina SoléDepartment of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden. marina.sole@slu.se.ORCID http://orcid.org/0000-0001-7884-1051
Michela AblondiDepartment of Veterinary Science, Università di Parma, Parma, Italy.
Amrei Binzer-PanchalDepartment of Medical Sciences, Array and Analysis Facility, Uppsala University, Uppsala, Sweden.
Brandon D VelieFaculty of Life and Environmental Science, University of Sydney, Sydney, NSW, Australia.
Nina HollfelderDepartment of Medical Sciences, Array and Analysis Facility, Uppsala University, Uppsala, Sweden.
Nadine BuysLivestock Genetics, Department of Biosystems, KU Leuven, 3001, Leuven, Belgium.
Bart J DucroAnimal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
Liesbeth FrançoisLivestock Genetics, Department of Biosystems, KU Leuven, 3001, Leuven, Belgium.
Steven JanssensLivestock Genetics, Department of Biosystems, KU Leuven, 3001, Leuven, Belgium.
Anouk SchurinkAnimal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
Åsa ViklundDepartment of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Susanne ErikssonDepartment of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Anders IsakssonDepartment of Medical Sciences, Array and Analysis Facility, Uppsala University, Uppsala, Sweden.
Hanna KultimaDepartment of Medical Sciences, Array and Analysis Facility, Uppsala University, Uppsala, Sweden.
Sofia MikkoDepartment of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Gabriella LindgrenDepartment of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Swedish University of Agricultural Sciences · SEUppsala University · SEKU Leuven · BEWageningen University & Research · NLThe University of Sydney · AUUniversity of Parma · IT

Funding

FP7 Research for the Benefit of SMEs 606142Stiftelsen Hästforskning H1147215
6 · The paper itself

Abstract

backgroundCopy Number Variation (CNV) is a common form of genetic variation underlying animal evolution and phenotypic diversity across a wide range of species. In the mammalian genome, high frequency of CNV differentiation between breeds may be candidates for population-specific selection. However, CNV differentiation, selection and its population genetics have been poorly explored in horses.

resultsWe investigated the patterns, population variation and gene annotation of CNV using the Axiom® Equine Genotyping Array (670,796 SNPs) from a large cohort of individuals (N = 1755) belonging to eight European horse breeds, varying from draught horses to several warmblood populations. After quality control, 152,640 SNP CNVs (individual markers), 18,800 segment CNVs (consecutive SNP CNVs of same gain/loss state or both) and 939 CNV regions (CNVRs; overlapping segment CNVs by at least 1 bp) compared to the average signal of the reference (Belgian draught horse) were identified. Our analyses showed that Equus caballus chromosome 12 (ECA12) was the most enriched in segment CNV gains and losses (~ 3% average proportion of the genome covered), but the highest number of segment CNVs were detected on ECA1 and ECA20 (regardless of size). The Friesian horses showed private SNP CNV gains (> 20% of the samples) on ECA1 and Exmoor ponies displayed private SNP CNV losses on ECA25 (> 20% of the samples). The Warmblood cluster showed private SNP CNV gains located in ECA9 and Draught cluster showed private SNP CNV losses located in ECA7. The length of the CNVRs ranged from 1 kb to 21.3 Mb. A total of 10,612 genes were annotated within the CNVRs. The PANTHER annotation of these genes showed significantly under- and overrepresented gene ontology biological terms related to cellular processes and immunity (Bonferroni P-value < 0.05). We identified 80 CNVRs overlapping with known QTL for fertility, coat colour, conformation and temperament. We also report 67 novel CNVRs.

conclusionsThis work revealed that CNV patterns, in the genome of some European horse breeds, occurred in specific genomic regions. The results provide support to the hypothesis that high frequency private CNVs residing in genes may potentially be responsible for the diverse phenotypes seen between horse breeds.

Indexed as

Genetic VariationAnimalsBreedingComparative Genomic HybridizationDNA Copy Number VariationsEuropeEvolution, MolecularGenetics, PopulationGenomeGenotypeHorsesPhenotypeSelection, GeneticCopy number variationHorseSNP genotyping arrayStructural variation

Identifiers

PMID31640551
PMCPMC6805398
OpenAlexW2982095735

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.