期刊
NATURE REVIEWS GENETICS
卷 11, 期 10, 页码 733-739出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nrg2825
关键词
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资金
- Foundation for the National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases
- US National Institutes of Health [GM0083084, HG004059, HG005220]
- NATIONAL HUMAN GENOME RESEARCH INSTITUTE [U41HG004059, R00HG005015, R01HG005220, P41HG004059] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM083084] Funding Source: NIH RePORTER
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.
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