Evaluation of the Infinium Methylation 450K technology.

By S. Dedeurwaerder, Matthieu Defrance, E. Calonne, H. Denis, C. Sotiriou, François Fuks. Epigenomics, 2011

600 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/01d3783777389fe51f938bcead1386f90ecc3bb3

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Citations in the corpus

Epigenetic Determinants of Cancer. (2016, background): “However, the coverage, although wide, is often not deep in a given sequence region and valuable as a first screening tool, to be followed by deeper probing of selected samples from among those being studied (Dedeurwaerder et al. 2011).”
A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data (2012, methodology): “A key statistical issue with the Illumina 450k beadchip is that probes come in two different designs, which causes the methylation values derived from these two designs to exhibit widely different distributions (Dedeurwaerder et al., 2011).”
Analysing and interpreting DNA methylation data (2012, methodology): “It uses two different probe types with distinct experimen‑ tal characteristics, thus requiring careful normalization to minimize technical bias 44–46 .”
Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases (2016, methodology): “…population level studies of human epigenome rely on high-density microarrays such as the Illumina Infinium HumanMethylation450 (450K) BeadChip (Dedeurwaerder et al., 2011) or sequencing-based methods (McClay et al., 2014) following biochemical modifications or enrichments of genomic DNA…”
A Six Months Exercise Intervention Influences the Genome-wide DNA Methylation Pattern in Human Adipose Tissue (2013, unknown): “This array contains 485,577 probes, which cover 21,231 (99%) RefSeq genes [25,54].”
A data-driven approach to preprocessing Illumina 450K methylation array data (2013, methodology): “This is not in itself a normalization issue, but it may be advantageous to minimize the differences so that the ranking of potential differentially methylated loci is more accurate [5].”
De novo identification of differentially methylated regions in the human genome (2015, background): “While the assayed CpG sites are concentrated around promoter regions and gene bodies, approximately 25% are located in intergenic regions [21].”
ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip (2015, methodology): “Measurement of those profiles using Infinium HumanMethylation450 BeadChips can be affected by many experimental factors (8), which can be mitigated in part by careful data preprocessing.”