ReGenotyper: Detecting Mislabeled Samples in Genetic Data

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2017 Feb 14

PMID 28192439

Citations 10

Authors

Konrad Zych

Basten L Snoek

Mark Elvin

Miriam Rodriguez

K Joeri van der Velde

Danny Arends

Harm-Jan Westra

Morris A Swertz

Gino Poulin

Jan E Kammenga

Rainer Breitling

Ritsert C Jansen

Yang Li

Affiliations

Soon will be listed here.

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.

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