ArticleGenetics, selection, evolution : GSE2014
The utility of low-density genotyping for imputation in the Thoroughbred horse.
Article in Genetics, selection, evolution : GSE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 33 citations in OpenAlex.
- Development and validation of a horse reference panel for genotype imputation.Genetics, selection, evolution : GSE · 2022Article
- Improving the resolution of canine genome-wide association studies using genotype imputation: A study of two breeds.Animal genetics · 2021Article
- Assessing single-nucleotide polymorphism selection methods for the development of a low-density panel optimized for imputation in South African Drakensberger beef cattle.Journal of animal science · 2021Article
- Serum microRNAs as Biomarkers for the Noninvasive Early Diagnosis of Biliary Tract Cancer.International journal of general medicine · 2021Article
- Genomic inbreeding trends, influential sire lines and selection in the global Thoroughbred horse population.Scientific reports · 2020Article
- High imputation accuracy from informative low-to-medium density single nucleotide polymorphism genotypes is achievable in sheep1.Journal of animal science · 2019Article
- Expression Quantitative Trait Loci in Equine Skeletal Muscle Reveals Heritable Variation in Metabolism and the Training Responsive Transcriptome.Frontiers in genetics · 2019Article
- Highly accurate sequence imputation enables precise QTL mapping in Brown Swiss cattle.BMC genomics · 2017Article
- Clinical utility of the low-density Infinium QC genotyping Array in a genomics-based diagnostics laboratory.BMC medical genomics · 2017Article
- Developing a 670k genotyping array to tag ~2M SNPs across 24 horse breeds.BMC genomics · 2017Article
- Assessing accuracy of imputation using different SNP panel densities in a multi-breed sheep population.Genetics, selection, evolution : GSE · 2016Article
- Optimal Design of Low-Density SNP Arrays for Genomic Prediction: Algorithm and Applications.PloS one · 2016Article
- Accuracy of genome-wide imputation in Braford and Hereford beef cattle.BMC genetics · 2014Article
- Prioritizing animals for dense genotyping in order to impute missing genotypes of sparsely genotyped animals.Genetics, selection, evolution : GSE · 2014Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundDespite the dramatic reduction in the cost of high-density genotyping that has occurred over the last decade, it remains one of the limiting factors for obtaining the large datasets required for genomic studies of disease in the horse. In this study, we investigated the potential for low-density genotyping and subsequent imputation to address this problem.
resultsUsing the haplotype phasing and imputation program, BEAGLE, it is possible to impute genotypes from low- to high-density (50K) in the Thoroughbred horse with reasonable to high accuracy. Analysis of the sources of variation in imputation accuracy revealed dependence both on the minor allele frequency of the single nucleotide polymorphisms (SNPs) being imputed and on the underlying linkage disequilibrium structure. Whereas equidistant spacing of the SNPs on the low-density panel worked well, optimising SNP selection to increase their minor allele frequency was advantageous, even when the panel was subsequently used in a population of different geographical origin. Replacing base pair position with linkage disequilibrium map distance reduced the variation in imputation accuracy across SNPs. Whereas a 1K SNP panel was generally sufficient to ensure that more than 80% of genotypes were correctly imputed, other studies suggest that a 2K to 3K panel is more efficient to minimize the subsequent loss of accuracy in genomic prediction analyses. The relationship between accuracy and genotyping costs for the different low-density panels, suggests that a 2K SNP panel would represent good value for money.
conclusionsLow-density genotyping with a 2K SNP panel followed by imputation provides a compromise between cost and accuracy that could promote more widespread genotyping, and hence the use of genomic information in horses. In addition to offering a low cost alternative to high-density genotyping, imputation provides a means to combine datasets from different genotyping platforms, which is becoming necessary since researchers are starting to use the recently developed equine 70K SNP chip. However, more work is needed to evaluate the impact of between-breed differences on imputation accuracy.
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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.