Evidence map›Paper›PMID 28750625›Full record

ArticleBMC genomics2017

Developing a 670k genotyping array to tag ~2M SNPs across 24 horse breeds.

Robert J Schaefer, Mikkel Schubert, Ernest Bailey, Danika L Bannasch, Eric Barrey, Gila Kahila Bar-Gal, Gottfried Brem, Samantha A Brooks, Ottmar Distl, Ruedi Fries and 25 more

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Rewilded horses in European nature conservation - a genetics, ethics, and welfare perspective.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
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5 more citing papers are in PubMed but not listed here.

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

35 authors.

Robert J SchaeferDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Mikkel SchubertCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
Ernest BaileyMaxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Danika L BannaschSchool of Veterinary Medicine, University of California-Davis, Davis, CA, 95616, USA.
Eric BarreyUnité de Génétique Animale et Biologie Intégrative- UMR1313, INRA, Université Paris-Saclay, AgroParisTech, 78350, Jouy-en-Josas, France.
Gila Kahila Bar-GalThe Robert H. Smith Faculty of Agriculture, Food and Environment, The Koret School of Veterinary Medicine, The Hebrew University, 76100, Rehovot, Israel.
Gottfried BremInstitute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria.
Samantha A BrooksDepartment of Animal Science, University of Florida, Gainesville, FL, USA.
Ottmar DistlInstitute for Animal Breeding and Genetics, University of Veterinary Medicine, Hannover, Germany.
Ruedi FriesLehrstuhl für Tierzucht der Technischen Universität München, Liesel-Beckmann-Strasse 1, 85354, Freising, Germany.
Carrie J FinnoSchool of Veterinary Medicine, University of California-Davis, Davis, CA, 95616, USA.
Vinzenz GerberSwiss Institute of Equine Medicine, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, and Agroscope, Länggassstrasse 124, 3001, Bern, Switzerland.
Bianca HaaseSchool of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW, 2006, Australia.
Vidhya JagannathanInstitute of Genetics, University of Bern, 3001, Bern, Switzerland.
Ted KalbfleischDepartment of Biochemistry and Molecular Biology, School of Medicine, University of Louisville, Louisville, KY, 40202, USA.
Tosso LeebInstitute of Genetics, University of Bern, 3001, Bern, Switzerland.
Gabriella LindgrenDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Maria Susana LopesBiotechnology Centre of Azores, University of Azores, Angra do heroísmo, Portugal.
Núria MachUnité de Génétique Animale et Biologie Intégrative- UMR1313, INRA, Université Paris-Saclay, AgroParisTech, 78350, Jouy-en-Josas, France.
Artur da Câmara MachadoBiotechnology Centre of Azores, University of Azores, Angra do heroísmo, Portugal.
James N MacLeodMaxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
Annette McCoyDepartment of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Champaign, IL, 61802, USA.
Julia MetzgerInstitute for Animal Breeding and Genetics, University of Veterinary Medicine, Hannover, Germany.
Cecilia PenedoVeterinary Genetics Laboratory, University of California Davis, Davis, CA, USA.
Sagi PolaniThe Robert H. Smith Faculty of Agriculture, Food and Environment, The Koret School of Veterinary Medicine, The Hebrew University, 76100, Rehovot, Israel.
Stefan RiederAgroscope, Swiss National Stud Farm, 1580, Avenches, Switzerland.
Imke TammenSchool of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW, 2006, Australia.
Jens TetensInstitute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Strasse 6, 24098, Kiel, Germany.
Georg ThallerInstitute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Strasse 6, 24098, Kiel, Germany.
Andrea Verini-SuppliziDepartment of Veterinary Medicine - Sport Horse Research Centre, University of Perugia, Perugia, Italy.
Claire M WadeSchool of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW, 2006, Australia.
Barbara WallnerInstitute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria.
Ludovic OrlandoCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
James R MickelsonDepartment of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
Molly E McCueDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA. mccu0173@umn.edu.

Funding

Molecular pathogenesis of alpha-tocopherol associated neuroaxonal dystrophy in anK01OD015134 · OD · UNIVERSITY OF MINNESOTA · PI FINNO, CARRIE · 2013 to 2017
$599k
6 · The paper itself

Abstract

backgroundTo date, genome-scale analyses in the domestic horse have been limited by suboptimal single nucleotide polymorphism (SNP) density and uneven genomic coverage of the current SNP genotyping arrays. The recent availability of whole genome sequences has created the opportunity to develop a next generation, high-density equine SNP array.

resultsUsing whole genome sequence from 153 individuals representing 24 distinct breeds collated by the equine genomics community, we cataloged over 23 million de novo discovered genetic variants. Leveraging genotype data from individuals with both whole genome sequence, and genotypes from lower-density, legacy SNP arrays, a subset of ~5 million high-quality, high-density array candidate SNPs were selected based on breed representation and uniform spacing across the genome. Considering probe design recommendations from a commercial vendor (Affymetrix, now Thermo Fisher Scientific) a set of ~2 million SNPs were selected for a next-generation high-density SNP chip (MNEc2M). Genotype data were generated using the MNEc2M array from a cohort of 332 horses from 20 breeds and a lower-density array, consisting of ~670 thousand SNPs (MNEc670k), was designed for genotype imputation.

conclusionsHere, we document the steps taken to design both the MNEc2M and MNEc670k arrays, report genomic and technical properties of these genotyping platforms, and demonstrate the imputation capabilities of these tools for the domestic horse.

Indexed as

Polymorphism, Single NucleotideAnimalsGene FrequencyGenotyping TechniquesHorsesLinkage DisequilibriumOligonucleotide Array Sequence AnalysisReference StandardsWhole Genome SequencingEquine genomicsLinkage disequilibriumSNP chipSNP discoverySNP informativenessSNP-taggingSNP validationVariant recalibrationWhole genome sequence

Identifiers

PMID28750625
PMCPMC5530493

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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.