Zych, KonradSnoek, Basten L.Elvin, MarkRodriguez, MiriamVan der Velde, K. JoeriArends, DannyWestra, Harm-JanSwertz, Morris A.Poulin, GinoKammenga, Jan E.Breitling, RainerJansen, Ritsert C.Li, Yang2017-03-282017Zych, K., B. L. Snoek, M. Elvin, M. Rodriguez, K. J. Van der Velde, D. Arends, H. Westra, et al. 2017. “reGenotyper: Detecting mislabeled samples in genetic data.” PLoS ONE 12 (2): e0171324. doi:10.1371/journal.pone.0171324. http://dx.doi.org/10.1371/journal.pone.0171324.http://nrs.harvard.edu/urn-3:HUL.InstRepos:31731722In 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.en-USBiology and Life SciencesComputational BiologyGenome AnalysisGenome-Wide Association StudiesGeneticsGenomicsHuman GeneticsEvolutionary BiologyPopulation GeneticsGenetic PolymorphismPopulation BiologyPhenotypesGenetic LociQuantitative Trait LociGene ExpressionPhysical SciencesMathematicsDiscrete MathematicsCombinatoricsPermutationExperimental Organism SystemsModel OrganismsCaenorhabditis ElegansAnimal ModelsOrganismsAnimalsInvertebratesNematodaCaenorhabditisJournal Article2017-03-2810.1371/journal.pone.0171324