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Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation

BACKGROUND: New technologies have enabled genome-wide association studies to be conducted with hundreds of thousands of genotyped SNPs. Several different first-generation genome-wide panels of SNPs have been commercialized. The total amount of common genetic variation is still unknown; however, the...

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Autores principales: Mägi, Reedik, Pfeufer, Arne, Nelis, Mari, Montpetit, Alexandre, Metspalu, Andres, Remm, Maido
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1914356/
https://www.ncbi.nlm.nih.gov/pubmed/17562002
http://dx.doi.org/10.1186/1471-2164-8-159
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author Mägi, Reedik
Pfeufer, Arne
Nelis, Mari
Montpetit, Alexandre
Metspalu, Andres
Remm, Maido
author_facet Mägi, Reedik
Pfeufer, Arne
Nelis, Mari
Montpetit, Alexandre
Metspalu, Andres
Remm, Maido
author_sort Mägi, Reedik
collection PubMed
description BACKGROUND: New technologies have enabled genome-wide association studies to be conducted with hundreds of thousands of genotyped SNPs. Several different first-generation genome-wide panels of SNPs have been commercialized. The total amount of common genetic variation is still unknown; however, the coverage of commercial panels can be evaluated against reference population samples genotyped by the International HapMap project. Less information is available about coverage in samples from other populations. RESULTS: In this study we compare four commercial panels: the HumanHap 300 and HumanHap 550 Array Sets from the Illumina Infinium series and the Mapping 100 K and Mapping 500 K Array Sets from the Affymetrix GeneChip series. Tagging performance is compared among HapMap CEPH (CEU), Asian (JPT, CHB) and Yoruba (YRI) population samples. It is also evaluated in an Estonian population sample with more than 1000 individuals genotyped in two 500-kbp ENCODE regions of chromosome 2: ENr112 on 2p16.3 and ENr131 on 2p37.1. CONCLUSION: We found that in a non-reference Caucasian population, commercial SNP panels provide levels of coverage similar to those in the HapMap CEPH population sample. We present the proportions of universal and population-specific SNPs in all the commercial platforms studied.
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spelling pubmed-19143562007-07-13 Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation Mägi, Reedik Pfeufer, Arne Nelis, Mari Montpetit, Alexandre Metspalu, Andres Remm, Maido BMC Genomics Research Article BACKGROUND: New technologies have enabled genome-wide association studies to be conducted with hundreds of thousands of genotyped SNPs. Several different first-generation genome-wide panels of SNPs have been commercialized. The total amount of common genetic variation is still unknown; however, the coverage of commercial panels can be evaluated against reference population samples genotyped by the International HapMap project. Less information is available about coverage in samples from other populations. RESULTS: In this study we compare four commercial panels: the HumanHap 300 and HumanHap 550 Array Sets from the Illumina Infinium series and the Mapping 100 K and Mapping 500 K Array Sets from the Affymetrix GeneChip series. Tagging performance is compared among HapMap CEPH (CEU), Asian (JPT, CHB) and Yoruba (YRI) population samples. It is also evaluated in an Estonian population sample with more than 1000 individuals genotyped in two 500-kbp ENCODE regions of chromosome 2: ENr112 on 2p16.3 and ENr131 on 2p37.1. CONCLUSION: We found that in a non-reference Caucasian population, commercial SNP panels provide levels of coverage similar to those in the HapMap CEPH population sample. We present the proportions of universal and population-specific SNPs in all the commercial platforms studied. BioMed Central 2007-06-11 /pmc/articles/PMC1914356/ /pubmed/17562002 http://dx.doi.org/10.1186/1471-2164-8-159 Text en Copyright © 2007 Mägi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mägi, Reedik
Pfeufer, Arne
Nelis, Mari
Montpetit, Alexandre
Metspalu, Andres
Remm, Maido
Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation
title Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation
title_full Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation
title_fullStr Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation
title_full_unstemmed Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation
title_short Evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation
title_sort evaluating the performance of commercial whole-genome marker sets for capturing common genetic variation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1914356/
https://www.ncbi.nlm.nih.gov/pubmed/17562002
http://dx.doi.org/10.1186/1471-2164-8-159
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