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Developing a 670k genotyping array to tag ~2M SNPs across 24 horse breeds.
Schaefer, Robert J; Schubert, Mikkel; Bailey, Ernest; Bannasch, Danika L; Barrey, Eric; Bar-Gal, Gila Kahila; Brem, Gottfried; Brooks, Samantha A; Distl, Ottmar; Fries, Ruedi; Finno, Carrie J; Gerber, Vinzenz; Haase, Bianca; Jagannathan, Vidhya; Kalbfleisch, Ted; Leeb, Tosso; Lindgren, Gabriella; Lopes, Maria Susana; Mach, Núria; da Câmara Machado, Artur; MacLeod, James N; McCoy, Annette; Metzger, Julia; Penedo, Cecilia; Polani, Sagi; Rieder, Stefan; Tammen, Imke; Tetens, Jens; Thaller, Georg; Verini-Supplizi, Andrea; Wade, Claire M; Wallner, Barbara; Orlando, Ludovic; Mickelson, James R; McCue, Molly E.
Affiliation
  • Schaefer RJ; Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.
  • Schubert M; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
  • Bailey E; Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
  • Bannasch DL; School of Veterinary Medicine, University of California-Davis, Davis, CA, 95616, USA.
  • Barrey E; Unité de Génétique Animale et Biologie Intégrative- UMR1313, INRA, Université Paris-Saclay, AgroParisTech, 78350, Jouy-en-Josas, France.
  • Bar-Gal GK; The Robert H. Smith Faculty of Agriculture, Food and Environment, The Koret School of Veterinary Medicine, The Hebrew University, 76100, Rehovot, Israel.
  • Brem G; Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria.
  • Brooks SA; Department of Animal Science, University of Florida, Gainesville, FL, USA.
  • Distl O; Institute for Animal Breeding and Genetics, University of Veterinary Medicine, Hannover, Germany.
  • Fries R; Lehrstuhl für Tierzucht der Technischen Universität München, Liesel-Beckmann-Strasse 1, 85354, Freising, Germany.
  • Finno CJ; School of Veterinary Medicine, University of California-Davis, Davis, CA, 95616, USA.
  • Gerber V; Swiss Institute of Equine Medicine, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, and Agroscope, Länggassstrasse 124, 3001, Bern, Switzerland.
  • Haase B; School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW, 2006, Australia.
  • Jagannathan V; Institute of Genetics, University of Bern, 3001, Bern, Switzerland.
  • Kalbfleisch T; Department of Biochemistry and Molecular Biology, School of Medicine, University of Louisville, Louisville, KY, 40202, USA.
  • Leeb T; Institute of Genetics, University of Bern, 3001, Bern, Switzerland.
  • Lindgren G; Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
  • Lopes MS; Biotechnology Centre of Azores, University of Azores, Angra do heroísmo, Portugal.
  • Mach N; Unité de Génétique Animale et Biologie Intégrative- UMR1313, INRA, Université Paris-Saclay, AgroParisTech, 78350, Jouy-en-Josas, France.
  • da Câmara Machado A; Biotechnology Centre of Azores, University of Azores, Angra do heroísmo, Portugal.
  • MacLeod JN; Maxwell H. Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY, USA.
  • McCoy A; Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Champaign, IL, 61802, USA.
  • Metzger J; Institute for Animal Breeding and Genetics, University of Veterinary Medicine, Hannover, Germany.
  • Penedo C; Veterinary Genetics Laboratory, University of California Davis, Davis, CA, USA.
  • Polani S; The Robert H. Smith Faculty of Agriculture, Food and Environment, The Koret School of Veterinary Medicine, The Hebrew University, 76100, Rehovot, Israel.
  • Rieder S; Agroscope, Swiss National Stud Farm, 1580, Avenches, Switzerland.
  • Tammen I; School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW, 2006, Australia.
  • Tetens J; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Strasse 6, 24098, Kiel, Germany.
  • Thaller G; Department of Animal Sciences, Functional Breeding Group, Georg-August University Göttingen, Burckhardtweg 2, 37077, Göttingen, Germany.
  • Verini-Supplizi A; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, Hermann-Rodewald-Strasse 6, 24098, Kiel, Germany.
  • Wade CM; Department of Veterinary Medicine - Sport Horse Research Centre, University of Perugia, Perugia, Italy.
  • Wallner B; School of Life and Environmental Sciences, Faculty of Veterinary Science, University of Sydney, Regimental Drive, B19-301 RMC Gunn, Sydney, NSW, 2006, Australia.
  • Orlando L; Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Vienna, Austria.
  • Mickelson JR; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
  • McCue ME; Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000, Toulouse, France.
BMC Genomics ; 18(1): 565, 2017 07 27.
Article in En | MEDLINE | ID: mdl-28750625
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.
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Oligonucleotide Array Sequence Analysis / Polymorphism, Single Nucleotide / Genotyping Techniques / Horses Limits: Animals Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2017 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Oligonucleotide Array Sequence Analysis / Polymorphism, Single Nucleotide / Genotyping Techniques / Horses Limits: Animals Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2017 Type: Article Affiliation country: United States