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Tackling the widespread and critical impact of batch effects in high-throughput data.


ABSTRACT: High-throughput technologies are widely used, for example to assay genetic variants, gene and protein expression, and epigenetic modifications. One often overlooked complication with such studies is batch effects, which occur because measurements are affected by laboratory conditions, reagent lots and personnel differences. This becomes a major problem when batch effects are correlated with an outcome of interest and lead to incorrect conclusions. Using both published studies and our own analyses, we argue that batch effects (as well as other technical and biological artefacts) are widespread and critical to address. We review experimental and computational approaches for doing so.

SUBMITTER: Leek JT 

PROVIDER: S-EPMC3880143 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature

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Tackling the widespread and critical impact of batch effects in high-throughput data.

Leek Jeffrey T JT   Scharpf Robert B RB   Bravo Héctor Corrada HC   Simcha David D   Langmead Benjamin B   Johnson W Evan WE   Geman Donald D   Baggerly Keith K   Irizarry Rafael A RA  

Nature reviews. Genetics 20100914 10


High-throughput technologies are widely used, for example to assay genetic variants, gene and protein expression, and epigenetic modifications. One often overlooked complication with such studies is batch effects, which occur because measurements are affected by laboratory conditions, reagent lots and personnel differences. This becomes a major problem when batch effects are correlated with an outcome of interest and lead to incorrect conclusions. Using both published studies and our own analyse  ...[more]

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