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

Robert Schaefer(University of Minnesota), Mikkel Schubert(University of Copenhagen), Ernest Bailey(University of Kentucky), Danika L. Bannasch(University of California, Davis), Éric Barrey(Université Paris-Saclay), Gila Kahila Bar‐Gal(Hebrew University of Jerusalem), Г. Брем(University of Veterinary Medicine Vienna), Samantha A. Brooks(University of Florida), O. Distl(University of Veterinary Medicine Hannover, Foundation), Ruedi Fries(Technical University of Munich), Carrie J. Finno(University of California, Davis), Vinzenz Gerber(University of Bern), Bianca Haase(The University of Sydney), Vidhya Jagannathan(University of Bern), Ted Kalbfleisch(University of Louisville), Tosso Leeb(University of Bern), Gabriella Lindgren(Swedish University of Agricultural Sciences), M. S. Lopes(Universidade dos Açores), Núria Mach(Université Paris-Saclay), Artur da Câmara Machado(Universidade dos Açores), James N. MacLeod(University of Kentucky), Annette M. McCoy(University of Illinois Urbana-Champaign), Julia Metzger(University of Veterinary Medicine Hannover, Foundation), Cecilia Penedo(University of California, Davis), Sagi Polani(Hebrew University of Jerusalem), Stefan Rieder(Agroscope), Imke Tammen(The University of Sydney), Jens Tetens(Christian-Albrechts-Universität zu Kiel), Georg Thaller(Christian-Albrechts-Universität zu Kiel), Andrea Verini Supplizi(University of Perugia), Claire M. Wade(The University of Sydney), Barbara Wallner(University of Veterinary Medicine Vienna), Ludovic Orlando(University of Copenhagen), James R. Mickelson(University of Minnesota), Molly E. McCue(University of Minnesota)
BMC Genomics
July 27, 2017
Cited by 141Open Access
Full Text

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.


Related Papers

No related papers found

Powered by citation graph analysis