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Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities
BACKGROUND: In this paper, we evaluate the performance of using family-specific low-density genotype arrays to increase the accuracy of pedigree-based imputation. Genotype imputation is a widely used tool that decreases the costs of genotyping a population by genotyping the majority of individuals o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595555/ https://www.ncbi.nlm.nih.gov/pubmed/31242856 http://dx.doi.org/10.1186/s12711-019-0478-2 |
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author | Whalen, Andrew Gorjanc, Gregor Hickey, John M. |
author_facet | Whalen, Andrew Gorjanc, Gregor Hickey, John M. |
author_sort | Whalen, Andrew |
collection | PubMed |
description | BACKGROUND: In this paper, we evaluate the performance of using family-specific low-density genotype arrays to increase the accuracy of pedigree-based imputation. Genotype imputation is a widely used tool that decreases the costs of genotyping a population by genotyping the majority of individuals on a low-density array and using statistical regularities between the low-density and high-density individuals to fill in the missing genotypes. Previous work on population-based imputation has found that it is possible to increase the accuracy of imputation by maximizing the number of informative markers on an array. In the context of pedigree-based imputation, where the informativeness of a marker depends only on the genotypes of an individual’s parents, it may be beneficial to select the markers on each low-density array on a family-by-family basis. RESULTS: In this paper, we examined four family-specific low-density marker selection strategies and evaluated their performance in the context of a real pig breeding dataset. We found that family-specific or sire-specific arrays could increase imputation accuracy by 0.11 at one marker per chromosome, by 0.027 at 25 markers per chromosome and by 0.007 at 100 markers per chromosome. CONCLUSIONS: These results suggest that there may be room to use family-specific genotyping for very-low-density arrays particularly if a given sire or sire-dam pairing have a large number of offspring. |
format | Online Article Text |
id | pubmed-6595555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65955552019-08-07 Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities Whalen, Andrew Gorjanc, Gregor Hickey, John M. Genet Sel Evol Research Article BACKGROUND: In this paper, we evaluate the performance of using family-specific low-density genotype arrays to increase the accuracy of pedigree-based imputation. Genotype imputation is a widely used tool that decreases the costs of genotyping a population by genotyping the majority of individuals on a low-density array and using statistical regularities between the low-density and high-density individuals to fill in the missing genotypes. Previous work on population-based imputation has found that it is possible to increase the accuracy of imputation by maximizing the number of informative markers on an array. In the context of pedigree-based imputation, where the informativeness of a marker depends only on the genotypes of an individual’s parents, it may be beneficial to select the markers on each low-density array on a family-by-family basis. RESULTS: In this paper, we examined four family-specific low-density marker selection strategies and evaluated their performance in the context of a real pig breeding dataset. We found that family-specific or sire-specific arrays could increase imputation accuracy by 0.11 at one marker per chromosome, by 0.027 at 25 markers per chromosome and by 0.007 at 100 markers per chromosome. CONCLUSIONS: These results suggest that there may be room to use family-specific genotyping for very-low-density arrays particularly if a given sire or sire-dam pairing have a large number of offspring. BioMed Central 2019-06-26 /pmc/articles/PMC6595555/ /pubmed/31242856 http://dx.doi.org/10.1186/s12711-019-0478-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Whalen, Andrew Gorjanc, Gregor Hickey, John M. Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities |
title | Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities |
title_full | Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities |
title_fullStr | Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities |
title_full_unstemmed | Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities |
title_short | Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities |
title_sort | family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595555/ https://www.ncbi.nlm.nih.gov/pubmed/31242856 http://dx.doi.org/10.1186/s12711-019-0478-2 |
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