Identifying mislabeled and contaminated DNA methylation microarray data: an extended quality control toolset with examples from GEO

Background Mislabeled, contaminated or poorly performing samples can threaten power in methylation microarray analyses or even result in spurious associations. We describe a set of quality checks for the popular Illumina 450K and EPIC microarrays to identify problematic samples and demonstrate their...

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Veröffentlicht in:	Clinical epigenetics Jg. 10; H. 1; S. 73 - 9
Hauptverfasser:	Heiss, Jonathan A., Just, Allan C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 01.06.2018 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	450K All other subjects Analysis Biomedical and Life Sciences Biomedicine Consortia Contamination CpG Islands Data processing Databases, Genetic - standards Datasets Deoxyribonucleic acid DNA DNA Methylation DNA microarrays DNA probes EPIC Epigenetics Epigenomics Epigenomics - standards Fingerprinting Gene expression Gene Function Genome, Human Genomes Genomics Human Genetics Humans Infinium Metadata Methodology Methylation Oligonucleotide Array Sequence Analysis - standards Polymorphism, Single Nucleotide Quality Control Sex Single-nucleotide polymorphism Software Statistical analysis Epigenomics 450K EPIC Data cleaning Infinium Quality control DNA methylation Mislabeling Contamination
ISSN:	1868-7075, 1868-7083, 1868-7083, 1868-7075
Online-Zugang:	Volltext
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