@article{7fb1eb8166234b8da61aa07ba33ff25c,
title = "Re Genotyper: Detecting mislabeled samples in genetic data",
abstract = "In high-throughput molecular profiling studies, genotype labels can be wrongly assigned at various experimental steps; the resulting mislabeled samples seriously reduce the power to detect the genetic basis of phenotypic variation. We have developed an approach to detect potential mislabeling, recover the {"}ideal{"} genotype and identify {"}best-matched{"} labels for mislabeled samples. On average, we identified 4% of samples as mislabeled in eight published datasets, highlighting the necessity of applying a {"}data cleaning{"} step before standard data analysis.",
author = "Konrad Zych and Snoek, {Basten L.} and Mark Elvin and Miriam Rodriguez and {Joeri Van Der Velde}, K. and Danny Arends and Westra, {Harm Jan} and Swertz, {Morris A.} and Gino Poulin and Kammenga, {Jan E.} and Rainer Breitling and Jansen, {Ritsert C.} and Yang Li",
note = "Funding Information: This work was supported by the 7th Framework Programme of the European Commission under the Research Project PANACEA [Contract No. 222936 to R.C.J. and J.E.K.]; the Netherlands Organisation for Scientific Research (NWO) VENI grant [n° 863.13.011 to Y.L.]; and the Dutch Carbohydrate Competence Center, which is is co-financed by the European Regional Development Fund, the Dutch Ministry of Economic Affairs (as part of Pieken in de Delta, the government{\textquoteright}s regional economic agenda), the Municipality of Groningen and the Province of Groningen [CCC WP23 to K.Z.]; Publisher Copyright: {\textcopyright} 2017 Zych et al. 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 credited.",
year = "2017",
month = feb,
doi = "10.1371/journal.pone.0171324",
language = "English",
volume = "12",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "2",
}