2011
DOI: 10.1186/1756-0500-4-546
|View full text |Cite
|
Sign up to set email alerts
|

HumMeth27QCReport: an R package for quality control and primary analysis of Illumina Infinium methylation data

Abstract: BackgroundThe study of the human DNA methylome has gained particular interest in the last few years. Researchers can nowadays investigate the potential role of DNA methylation in common disorders by taking advantage of new high-throughput technologies. Among these, Illumina Infinium assays can interrogate the methylation levels of hundreds of thousands of CpG sites, offering an ideal solution for genome-wide methylation profiling. However, like for other high-throughput technologies, the main bottleneck remain… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
18
0
1

Year Published

2013
2013
2017
2017

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 21 publications
(19 citation statements)
references
References 18 publications
0
18
0
1
Order By: Relevance
“…We conducted genome-wide analysis of DNA methylation using Infinium HumanMethylation450 BeadChips (Illumina, San Diego, CA, USA), which contain 485,764 probes (> 99% with CpG dinucleotides), following the manufacturer’s recommendations. We preprocessed the data with the GenomeStudio (version 2011.1) Methylation module (version 1.9; Illumina) and evaluated them using an adaptation of HumMeth27QCReport (Mancuso et al 2011). We used Gene ARMADA (Chatziioannou et al 2009) for within- and between-array normalization (linear LOESS and A-quantile, respectively) and imputation of missing values ( k nearest neighbors approach).…”
Section: Methodsmentioning
confidence: 99%
“…We conducted genome-wide analysis of DNA methylation using Infinium HumanMethylation450 BeadChips (Illumina, San Diego, CA, USA), which contain 485,764 probes (> 99% with CpG dinucleotides), following the manufacturer’s recommendations. We preprocessed the data with the GenomeStudio (version 2011.1) Methylation module (version 1.9; Illumina) and evaluated them using an adaptation of HumMeth27QCReport (Mancuso et al 2011). We used Gene ARMADA (Chatziioannou et al 2009) for within- and between-array normalization (linear LOESS and A-quantile, respectively) and imputation of missing values ( k nearest neighbors approach).…”
Section: Methodsmentioning
confidence: 99%
“…Normalized M values were generated from primary HumanMethylation27 beadchip beta values using the R package HumMeth27KQCReport function, including the X chromosome data and using an average probe p-value of 0.03 as the cutoff for sample inclusion (16). The resulting normalized M values represent a continuous variable from −6 (unmethylated) to 6 (methylated).…”
Section: Methodsmentioning
confidence: 99%
“…The second workflow demonstrates usage of an R package for quality control and primary analysis of Illumina Infinium methylation data [18]. …”
Section: Resultsmentioning
confidence: 99%