학술논문

Developing a 670k genotyping array to tag ~2M SNPs across 24 horse breeds
Document Type
article
Source
BMC Genomics. 18(1)
Subject
Biological Sciences
Bioinformatics and Computational Biology
Genetics
Human Genome
Biotechnology
Animals
Gene Frequency
Genotyping Techniques
Horses
Linkage Disequilibrium
Oligonucleotide Array Sequence Analysis
Polymorphism
Single Nucleotide
Reference Standards
Whole Genome Sequencing
Equine genomics
Whole genome sequence
SNP-tagging
SNP chip
Variant recalibration
SNP discovery
SNP informativeness
SNP validation
Linkage disequilibrium
Information and Computing Sciences
Medical and Health Sciences
Bioinformatics
Biological sciences
Biomedical and clinical sciences
Language
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.