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Redundancy in Genotyping Arrays
Despite their unprecedented density, current SNP genotyping arrays contain large amounts of redundancy, with up to 40 oligonucleotide features used to query each SNP. By using publicly available reference genotype data from the International HapMap, we show that 93.6% sensitivity at <5% false pos...
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1805688/ https://www.ncbi.nlm.nih.gov/pubmed/17356697 http://dx.doi.org/10.1371/journal.pone.0000287 |
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author | Smemo, Scott Borevitz, Justin O. |
author_facet | Smemo, Scott Borevitz, Justin O. |
author_sort | Smemo, Scott |
collection | PubMed |
description | Despite their unprecedented density, current SNP genotyping arrays contain large amounts of redundancy, with up to 40 oligonucleotide features used to query each SNP. By using publicly available reference genotype data from the International HapMap, we show that 93.6% sensitivity at <5% false positive rate can be obtained with only four probes per SNP, compared with 98.3% with the full data set. Removal of this redundancy will allow for more comprehensive whole-genome association studies with increased SNP density and larger sample sizes. |
format | Text |
id | pubmed-1805688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-18056882007-03-14 Redundancy in Genotyping Arrays Smemo, Scott Borevitz, Justin O. PLoS One Research Article Despite their unprecedented density, current SNP genotyping arrays contain large amounts of redundancy, with up to 40 oligonucleotide features used to query each SNP. By using publicly available reference genotype data from the International HapMap, we show that 93.6% sensitivity at <5% false positive rate can be obtained with only four probes per SNP, compared with 98.3% with the full data set. Removal of this redundancy will allow for more comprehensive whole-genome association studies with increased SNP density and larger sample sizes. Public Library of Science 2007-03-14 /pmc/articles/PMC1805688/ /pubmed/17356697 http://dx.doi.org/10.1371/journal.pone.0000287 Text en Smemo, Borevitz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Smemo, Scott Borevitz, Justin O. Redundancy in Genotyping Arrays |
title | Redundancy in Genotyping Arrays |
title_full | Redundancy in Genotyping Arrays |
title_fullStr | Redundancy in Genotyping Arrays |
title_full_unstemmed | Redundancy in Genotyping Arrays |
title_short | Redundancy in Genotyping Arrays |
title_sort | redundancy in genotyping arrays |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1805688/ https://www.ncbi.nlm.nih.gov/pubmed/17356697 http://dx.doi.org/10.1371/journal.pone.0000287 |
work_keys_str_mv | AT smemoscott redundancyingenotypingarrays AT borevitzjustino redundancyingenotypingarrays |