Evidence map›Paper›PMID 40965185›Full record

ArticleAnimal genetics2025

IMAGE001: A new livestock multispecies SNP array to characterize genomic variation in European livestock gene bank collections.

R P M A Crooijmans, R Gonzalez Prendes, L Colli, M Del Corvo, M Barbato, E Somenzi, G Tosser-Klopp, G Meszaros, P Ajmone-Marsan, S Weigend and 11 more

Abstract read
In one paragraph

Article in Animal genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

R P M A CrooijmansWageningen University & Research, Animal Breeding and Genomics, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0001-8108-9972
R Gonzalez PrendesWageningen University & Research, Animal Breeding and Genomics, Wageningen, The Netherlands.
L ColliFacoltà di Scienze Agrarie, Alimentari e Ambientali/DIANA Dipartimento di Scienze Animali, Della Nutrizione e Degli Alimenti, Università Cattolica del Sacro Cuore, Piacenza, Italy.
M Del CorvoFacoltà di Scienze Agrarie, Alimentari e Ambientali/DIANA Dipartimento di Scienze Animali, Della Nutrizione e Degli Alimenti, Università Cattolica del Sacro Cuore, Piacenza, Italy.
M BarbatoFacoltà di Scienze Agrarie, Alimentari e Ambientali/DIANA Dipartimento di Scienze Animali, Della Nutrizione e Degli Alimenti, Università Cattolica del Sacro Cuore, Piacenza, Italy.
E SomenziFacoltà di Scienze Agrarie, Alimentari e Ambientali/DIANA Dipartimento di Scienze Animali, Della Nutrizione e Degli Alimenti, Università Cattolica del Sacro Cuore, Piacenza, Italy.
G Tosser-KloppGenPhySE, Université de Toulouse, INRAE, ENVT, Castanet Tolosan, France.ORCID https://orcid.org/0000-0003-0550-4673
G MeszarosUniversität für Bodenkultur, Wien, Austria.ORCID https://orcid.org/0000-0002-5937-0060
P Ajmone-MarsanFacoltà di Scienze Agrarie, Alimentari e Ambientali/DIANA Dipartimento di Scienze Animali, Della Nutrizione e Degli Alimenti, Università Cattolica del Sacro Cuore, Piacenza, Italy.
S WeigendFriedrich-Loeffler-Institut, Institute of Farm Animal Genetics, Neustadt-Mariensee, Germany.
B WallnerDepartment of Biomedical Sciences and Pathobiology, Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, Austria.
M E McCueUniversity of Minnesota College of Veterinary Medicine, St Paul, Minnesota, USA.
L OrlandoCentre d'Anthropobiologie et de Génomique de Toulouse, CNRS UMR 5288, Université Paul Sabatier, Toulouse, France.
D BradleyTrinity College Dublin, University of Dublin, Dublin, Ireland.
S J HiemstraCentre for Genetic Resources, the Netherlands (CGN) of Wageningen University & Research, Wageningen, The Netherlands.
D SchokkerWageningen Bioveterinary Research, Lelystad, The Netherlands.
N PeynotUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.
A StellaInstitute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Milan, Italy.
G RestouxUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.
M A M GroenenWageningen University & Research, Animal Breeding and Genomics, Wageningen, The Netherlands.
M Tixier-BoichardUniversité Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.

Funding

European Research Council 101071707European Research Council 681605Horizon 2020 Framework Programme 677353
6 · The paper itself

Abstract

Molecular genetic characterization of genetic resources is essential to study biodiversity. Whereas whole genome sequencing is still relatively expensive, low density SNP arrays offer a cost-effective and standardized solution. However, most of the current arrays are species specific. Their high SNP density often exceeds diversity mapping requirements and remains too costly for many genetic resource managers. The IMAGE H2020 project aimed at developing a low-cost multispecies SNP array to facilitate mapping of the genetic diversity in samples stored in gene banks and in vivo (on farm) traditional populations. This farm animal multispecies array contains approximately 10 K SNPs per species. The species included are cattle, sheep, goat, horse, pig, and chicken. We developed and tested this array on many samples from each of the six species. We describe here the SNP coverage and informativity across 253 breeds. We show that the array can be used to cluster local breeds according to history and genetic diversity. We illustrate its use for parentage testing. The array is publicly available at a reasonable price if ordered in multiples of 384 samples, leading to an overall cost of genotyping of approximately 15 euros per sample.

Indexed as

LivestockPolymorphism, Single NucleotideAnimalsBreedingCattleChickensEuropeGenetic VariationGenomicsGoatsHorsesSheepbiodiversityfarm animalsmultispecies SNP array

Identifiers

PMID40965185
PMCPMC12445162

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.