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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, Carrie J. Finno, Vinzenz Gerber, Bianca Haase, Vidhya Jagannathan, Ted Kalbfleisch, Tosso Leeb, Gabriella Lindgren, Maria Susana Lopes, Nuria Mach, Artur da Câmara Machado, James N. MacLeod, Annette McCoy, Julia Metzger, Cecilia Penedo, Sagi Polani, Stefan Rieder, Imke Tammen, Jens Tetens, Georg Thaller, Andrea Verini-Supplizi, Claire M. Wade, Barbara Wallner, Ludovic Orlando, James R. Mickelson, Molly E. McCue
doi: https://doi.org/10.1101/112979
Robert J. Schaefer
1Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA
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Mikkel Schubert
2Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
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Ernest Bailey
3Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, Kentucky, USA
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Danika L. Bannasch
4School of Veterinary Medicine, University of California-Davis, Davis, CA, 95616
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Eric Barrey
5Unité de Génétique Animale et Biologie Intégrative-UMR1313, INRA, Université Paris-Saclay, AgroParisTech, 78350 Jouy-en-Josas, France
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Gila Kahila Bar-Gal
6The Robert H. Smith Faculty of Agriculture, Food and Environment, The Koret School of Veterinary Medicine, The Hebrew University, Rehovot 76100, Israel
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Gottfried Brem
7Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
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Samantha A. Brooks
8Department of Animal Science, University of Florida, Gainesville, FL, USA
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Ottmar Distl
9Institute for Animal Breeding and Genetics, University of Veterinary Medicine, Hannover, Germany
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Ruedi Fries
10Lehrstuhl für Tierzucht der Technischen Universität München, Liesel-Beckmann-Strasse 1, 85354 Freising, Germany
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Carrie J. Finno
4School of Veterinary Medicine, University of California-Davis, Davis, CA, 95616
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Vinzenz Gerber
11Swiss Institute of Equine Medicine, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, and Agroscope, Länggassstrasse 124, 3001 Bern, Switzerland
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Bianca Haase
12School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW 2006, Australia
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Vidhya Jagannathan
13Institute of Genetics, University of Bern, Bern 3001, Switzerland
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Ted Kalbfleisch
14Department of Biochemistry and Molecular Biology, School of Medicine, University of Louisville, Louisville KY 40202
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Tosso Leeb
13Institute of Genetics, University of Bern, Bern 3001, Switzerland
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Gabriella Lindgren
15Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
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Maria Susana Lopes
16Biotechnology Centre of Azores, University of Azores, Angra do heroísmo, Portugal
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Nuria Mach
17Animal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, University of Paris-Saclay, 78350 Jouy-en-Josas, France
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Artur da Câmara Machado
16Biotechnology Centre of Azores, University of Azores, Angra do heroísmo, Portugal
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James N. MacLeod
3Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, Kentucky, USA
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Annette McCoy
18Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, IL, 61802
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Julia Metzger
9Institute for Animal Breeding and Genetics, University of Veterinary Medicine, Hannover, Germany
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Cecilia Penedo
19Veterinary Genetics Laboratory, University of California Davis, Davis, California, United States of America
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Sagi Polani
6The Robert H. Smith Faculty of Agriculture, Food and Environment, The Koret School of Veterinary Medicine, The Hebrew University, Rehovot 76100, Israel
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Stefan Rieder
20Agroscope, Swiss National Stud Farm, Avenches 1580, Switzerland
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Imke Tammen
12School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW 2006, Australia
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Jens Tetens
21Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Strasse 6, 24098, Kiel, Germany
22Department of Animal Sciences, Functional Breeding Group, Georg-August University Göttingen. Burckhardtweg 2, 37077 Göttingen, Germany
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Georg Thaller
21Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Strasse 6, 24098, Kiel, Germany
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Andrea Verini-Supplizi
23Department of Veterinary Medicine - Sport Horse Research Centre, University of Perugia, Perugia, Italy
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Claire M. Wade
12School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW 2006, Australia
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Barbara Wallner
7Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
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Ludovic Orlando
2Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
24Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, Toulouse, France 31000
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James R. Mickelson
25Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA
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Molly E. McCue
1Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, Minnesota, USA
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Abstract

Background To 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.

Results Using 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.

Conclusions Here, 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.

  • Abbreviations

    SNP
    Single Nucleotide Polymorphism
    MNEc2M
    the 2 million SNP array developed here
    MNEc670k
    the 670 thousand SNP array developed here
    WGS
    whole genome sequencing
    bp
    base pair
    GATK
    genome analysis tool kit
    QUAL
    generic quality score output by GATK and SAMtools
    MOR
    the Morgan horse breed
    STD
    the Standardbred horse breed
    VQSLOD
    variant quality score log-odds
    Gb
    giga-bases
    MHC
    major histocompatibility complex
    ECA
    Equus caballus chromosome
    VIP
    very important probe
    MAF
    minor allele frequency
    ALT
    alternate allele
    KDE
    kernel density estimation
    LD
    linkage disequilibrium
    ChrUn1
    Equus calballus unknown chromosome
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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    Posted May 23, 2017.
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    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, Carrie J. Finno, Vinzenz Gerber, Bianca Haase, Vidhya Jagannathan, Ted Kalbfleisch, Tosso Leeb, Gabriella Lindgren, Maria Susana Lopes, Nuria Mach, Artur da Câmara Machado, James N. MacLeod, Annette McCoy, Julia Metzger, Cecilia Penedo, Sagi Polani, Stefan Rieder, Imke Tammen, Jens Tetens, Georg Thaller, Andrea Verini-Supplizi, Claire M. Wade, Barbara Wallner, Ludovic Orlando, James R. Mickelson, Molly E. McCue
    bioRxiv 112979; doi: https://doi.org/10.1101/112979
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    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, Carrie J. Finno, Vinzenz Gerber, Bianca Haase, Vidhya Jagannathan, Ted Kalbfleisch, Tosso Leeb, Gabriella Lindgren, Maria Susana Lopes, Nuria Mach, Artur da Câmara Machado, James N. MacLeod, Annette McCoy, Julia Metzger, Cecilia Penedo, Sagi Polani, Stefan Rieder, Imke Tammen, Jens Tetens, Georg Thaller, Andrea Verini-Supplizi, Claire M. Wade, Barbara Wallner, Ludovic Orlando, James R. Mickelson, Molly E. McCue
    bioRxiv 112979; doi: https://doi.org/10.1101/112979

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