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Quantitative cross-validation and content analysis of the 450k DNA methylation array from Illumina, Inc.
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Background: The newly released 450k DNA methylation array from Illumina, Inc. offers the possibility to analyze more than 480,000 individual CpG sites in a user friendly standardized format. In this study the relationship between the β-values provided by the Illumina, Inc. array for each individual CpG dinucleotide and the quantitative methylation levels obtained by pyrosequencing were analyzed. In addition, the representation of microRNA genes and imprinted loci on the Illumina, Inc. array was assessed in detail. Genomic DNA from 4 human breast cancer cell lines (IPH-926, HCC1937, MDA-MB-134, PMC42) and 18 human breast cancer specimens as well as 4 normal mammary epithelial fractions was analyzed on 450k DNA methylation arrays. The β-values for 692 individual CpG sites from 62 different genes were cross-validated using conventional quantitative pyrosequencing. Findings: The newly released 450k methylation array from Illumina, Inc. shows a high concordance with quantitative pyrosequencing if identical CpG sites are analyzed in cell lines (Spearman r = 0.88, p ≪ 0.0001), which is somewhat reduced in primary tumor specimens (Spearman r = 0.86, p ≪ 0.0001). 80.7% of the CpG sites show an absolute difference in methylation level of less than 15 percentage points. If different CpG sites in the same CpG islands are targeted the concordance is lower (r = 0.83 in cell lines and r = 0.7 in primary tumors). The number of CpG sites representing microRNA genes and imprinted loci is very heterogeneous (range: 1 – 70 CpG sites for microRNAs and 1 – 288 for imprinted loci). Conclusions: The newly released 450k methylation array from Illumina, Inc. provides a genome-wide quantitative representation of DNA methylation aberrations in a convenient format. Overall, the congruence with pyrosequencing data is very good. However, for individual loci one should be careful to translate the β-values directly into percent methylation levels.
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![Figure 2 Representation of theSNRNPlocus on the 450k methylation array. This figure shows the organization of the SNRPN locus with the four differentially methylated regions (red lollipops). Below each region the number of CpG sites represented on the 450k array is indicated (based on Robertson 2005 [16] and references therein)](/paper-figures/135da2c0196f46078a8e590d334215dd/quantitative-cross-validation-and-content-analysis-of-the-450k-dna-methylation-figure-2.jpg)
![Figure 3 Comparison of methylation levels for four imprinted loci. The methylation level of GNAS, KvDMR, RB1, and DIRAS3 was measured in four healthy normal mammary tissue samples using pyrosequencing and the 450k methylation array. Shown are the mean values, the error bars indicating the standard deviation. For KvDMR six CpG sites represented on the 450k array are measured by the pyrosequencing assay. For the remaining three loci only one CpG site was also measured by the pyrosequencing assay. In addition the data from Supplementary Table S2 from Woodfine et al. [17] are incorporated. These data are also obtained by pyrosequencing from 3 or 6 normal mammary tissue specimens. No standard deviations are reported for these data](/paper-figures/7a9ce12d9b9e4476b1861f8fb0cf5f9c/quantitative-cross-validation-and-content-analysis-of-the-450k-dna-methylation-figure-3.jpg)
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“Profile correlations are also insensitive to the potential problems of normalization because they are dominated by the majority of probes which do not show true differences”
From A data-driven approach to preprocessing Illumina 450K methylation array data (2013) · cites this paper as [14]
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“the minority of intermediate methylation values would be susceptible to far greater changes after normalization but would be overlooked by a correlation test [14]”
From A data-driven approach to preprocessing Illumina 450K methylation array data (2013) · cites this paper as [14]
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“the majority of CpG sites assayed are in a fully methylated or fully unmethylated state and would change little after normalization”
From A data-driven approach to preprocessing Illumina 450K methylation array data (2013) · cites this paper as [14]
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Metadata
- Authors
- Roessler, J., Ammerpohl, O., Gutwein, J., Hasemeier, B., Anwar, S. L., Kreipe, H., & Lehmann, U.
- Affiliations
- Medizinische Hochschule Hannover (DE)
- University Hospital Schleswig-Holstein (DE)
- Corresponding author
- Lehmann, Ulrich
- Venue
- BMC Research Notes
- Published
- 2012-04-30
- Volume
- 5
- Issue
- 1
- Pages
- 210-210
- ISSN
- 1756-0500 (ISSN-L)
- PMC
- PMC3420245
- OpenAlex
- W2097998761
- Cited by
- 112
- References
- 24
- Citations by year
- 2026: 3 · 2024: 1 · 2023: 1 · 2022: 4 · 2021: 11 · 2020: 2 · 2019: 9 · 2018: 10 · 2017: 10 · 2016: 15 · 2015: 18 · 2014: 9 · 2013: 15 · 2012: 4
- FWCI
- 5.92
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Research Notes (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (SFB TRR77, Project B1, TRR77)
- Deutsche Krebshilfe
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Syndromes and Imprinting
- Keywords
- DNA methylation, 450k methylation array, pyrosequencing, CpG sites, breast cancer, microRNA genes, genomic imprinting, imprinted loci, CpG islands, mammary epithelial cells
- MeSH terms
- Breast Neoplasms, Female, Humans, Reproducibility of Results, Sequence Analysis, DNA, Genomic Imprinting, DNA Methylation, Base Pairing, Cell Line, Tumor, snRNP Core Proteins, Genetic Loci
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