Tackling the widespread and critical impact of batch effects in high-throughput data
Batch effects can lead to incorrect biological conclusions but are not widely considered. The authors show that batch effects are relevant to a range of high-throughput 'omics' data sets and are crucial to address. They also explain how batch effects can be mitigated. High-throughput techn...
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| Vydané v: | Nature reviews. Genetics Ročník 11; číslo 10; s. 733 - 739 |
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| Hlavní autori: | , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
Nature Publishing Group UK
01.10.2010
Nature Publishing Group |
| Predmet: | |
| ISSN: | 1471-0056, 1471-0064, 1471-0064 |
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| Abstract | Batch effects can lead to incorrect biological conclusions but are not widely considered. The authors show that batch effects are relevant to a range of high-throughput 'omics' data sets and are crucial to address. They also explain how batch effects can be mitigated.
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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| AbstractList | Batch effects can lead to incorrect biological conclusions but are not widely considered. The authors show that batch effects are relevant to a range of high-throughput 'omics' data sets and are crucial to address. They also explain how batch effects can be mitigated.
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. 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. 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.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. |
| Audience | Academic |
| Author | Baggerly, Keith Scharpf, Robert B. Irizarry, Rafael A. Geman, Donald Simcha, David Leek, Jeffrey T. Bravo, Héctor Corrada Langmead, Benjamin Johnson, W. Evan |
| Author_xml | – sequence: 1 givenname: Jeffrey T. surname: Leek fullname: Leek, Jeffrey T. organization: Benjamin Langmead and Rafael A. Irizarry are at the Department of Biostatistics, Jeffrey T. Leek, Hector Corrada-Bravo, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205-2179, USA – sequence: 2 givenname: Robert B. surname: Scharpf fullname: Scharpf, Robert B. organization: Robert B. Scharpf is at the Department of Oncology, Johns Hopkins University, Baltimore, Maryland 21205-2013, USA – sequence: 3 givenname: Héctor Corrada surname: Bravo fullname: Bravo, Héctor Corrada organization: Benjamin Langmead and Rafael A. Irizarry are at the Department of Biostatistics, Jeffrey T. Leek, Hector Corrada-Bravo, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205-2179, USA., Héctor Corrada Bravo is also at the Department of Computer Science, University of Maryland, College Park, Maryland 20742, USA – sequence: 4 givenname: David surname: Simcha fullname: Simcha, David organization: David Simcha is at the Biomedical Engineering Department, Johns Hopkins University, 3400 N. Charles St, Baltimore, Maryland 212218, USA – sequence: 5 givenname: Benjamin surname: Langmead fullname: Langmead, Benjamin organization: Benjamin Langmead and Rafael A. Irizarry are at the Department of Biostatistics, Jeffrey T. Leek, Hector Corrada-Bravo, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205-2179, USA – sequence: 6 givenname: W. Evan surname: Johnson fullname: Johnson, W. Evan organization: W. Evan Johnson is at the Department of Statistics, Brigham Young University, Provo, Utah 84602-6575, USA – sequence: 7 givenname: Donald surname: Geman fullname: Geman, Donald organization: Donald Geman is at the Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland 21218-2682, USA – sequence: 8 givenname: Keith surname: Baggerly fullname: Baggerly, Keith organization: Keith Baggerly is at the Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, P. O. Box 301402, Houston, Texas 77230, USA – sequence: 9 givenname: Rafael A. surname: Irizarry fullname: Irizarry, Rafael A. email: rafa@jhu.edu organization: Benjamin Langmead and Rafael A. Irizarry are at the Department of Biostatistics, Jeffrey T. Leek, Hector Corrada-Bravo, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205-2179, USA |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23238452$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/20838408$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | 631/1647/1513 631/1647/48 Agriculture Animal Genetics and Genomics Biological and medical sciences Biology Biomedical and Life Sciences Biomedicine Biotechnology - methods Biotechnology - standards Biotechnology - statistics & numerical data Cancer Research Computational Biology - methods Diabetes DNA methylation DNA microarrays DNA sequencing Fundamental and applied biological sciences. Psychology Gene Function Genes Genetics of eukaryotes. Biological and molecular evolution Genomes Genomics Genomics - methods Genomics - standards Genomics - statistics & numerical data Human Genetics Nucleotide sequencing Oligonucleotide Array Sequence Analysis - methods Oligonucleotide Array Sequence Analysis - standards Oligonucleotide Array Sequence Analysis - statistics & numerical data opinion-2 Periodicals as Topic - standards Polymerase chain reaction Quantitative genetics Research Design - standards Research Design - statistics & numerical data Sequence Analysis, DNA - methods Sequence Analysis, DNA - standards Sequence Analysis, DNA - statistics & numerical data Stem cells |
| Title | Tackling the widespread and critical impact of batch effects in high-throughput data |
| URI | https://link.springer.com/article/10.1038/nrg2825 https://www.ncbi.nlm.nih.gov/pubmed/20838408 https://www.proquest.com/docview/751842666 https://www.proquest.com/docview/755162294 https://www.proquest.com/docview/807270253 https://pubmed.ncbi.nlm.nih.gov/PMC3880143 |
| Volume | 11 |
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