Evaluation of the Infinium Methylation 450K technology
- PMID: 22126295
- DOI: 10.2217/epi.11.105
Evaluation of the Infinium Methylation 450K technology
Abstract
Aims: Studies of DNA methylomes hold enormous promise for biomedicine but are hampered by the technological challenges of analyzing many samples cost-effectively. Recently, a major extension of the previous Infinium HumanMethylation27 BeadChip® (Illumina, Inc. CA, USA), called Infinium HumanMethylation450 (Infinium Methylation 450K; Illumina, Inc. CA, USA) was developed. This upgraded technology is a hybrid of two different chemical assays, the Infinium I and Infinium II assays, allowing (for 12 samples in parallel) assessment of the methylation status of more than 480,000 cytosines distributed over the whole genome. In this article, we evaluate Infinium Methylation 450K on cell lines and tissue samples, highlighting some of its advantages but also some of its limitations. In particular, we compare the methylation values of the Infinium I and Infinium II assays.
Materials & methods: We used Infinium Methylation 450K to profile: first, the well-characterized HCT116 wild-type and double-knockout cell lines and then, 16 breast tissue samples (including eight normal and eight primary tumor samples). Absolute methylation values (β-values) were extracted with the GenomeStudio™ software and then subjected to detailed analysis.
Results: While this technology appeared highly robust as previously shown, we noticed a divergence between the β-values retrieved from the type I and type II Infinium assays. Specifically, the β-values obtained from Infinium II probes were less accurate and reproducible than those obtained from Infinium I probes. This suggests that data from the type I and type II assays should be considered separately in any downstream bioinformatic analysis. To be able to deal with the Infinium I and Infinium II data together, we developed and tested a new correction technique, which we called 'peak-based correction'. The idea was to rescale the Infinium II data on the basis of the Infinium I data. While this technique should be viewed as an approximation method, it significantly improves the quality of Infinium II data.
Conclusion: Infinium 450K is a powerful technique in terms of reagent costs, time of labor, sample throughput and coverage. It holds great promise for the better understanding of the epigenetic component in health and disease. Yet, due to the nature of its design comprising two different chemical assays, analysis of the whole set of data is not as easy as initially anticipated. Correction strategies, such as the peak-based approach proposed here, are a step towards adequate output data analysis.
Similar articles
-
Complete pipeline for Infinium(®) Human Methylation 450K BeadChip data processing using subset quantile normalization for accurate DNA methylation estimation.Epigenomics. 2012 Jun;4(3):325-41. doi: 10.2217/epi.12.21. Epigenomics. 2012. PMID: 22690668
-
Analysis of genome-wide DNA methylation profiles by BeadChip technology.Methods Mol Biol. 2013;1049:21-33. doi: 10.1007/978-1-62703-547-7_3. Methods Mol Biol. 2013. PMID: 23913206
-
Comparison of Methyl-capture Sequencing vs. Infinium 450K methylation array for methylome analysis in clinical samples.Epigenetics. 2016;11(1):36-48. doi: 10.1080/15592294.2015.1132136. Epub 2016 Jan 19. Epigenetics. 2016. PMID: 26786415 Free PMC article.
-
Genome-wide DNA methylation analysis of archival formalin-fixed paraffin-embedded tissue using the Illumina Infinium HumanMethylation27 BeadChip.Methods. 2010 Nov;52(3):248-54. doi: 10.1016/j.ymeth.2010.04.012. Epub 2010 Apr 29. Methods. 2010. PMID: 20434562 Review.
-
Analysis pipelines and packages for Infinium HumanMethylation450 BeadChip (450k) data.Methods. 2015 Jan 15;72:3-8. doi: 10.1016/j.ymeth.2014.08.011. Epub 2014 Sep 16. Methods. 2015. PMID: 25233806 Free PMC article. Review.
Cited by
-
System-Wide Associations between DNA-Methylation, Gene Expression, and Humoral Immune Response to Influenza Vaccination.PLoS One. 2016 Mar 31;11(3):e0152034. doi: 10.1371/journal.pone.0152034. eCollection 2016. PLoS One. 2016. PMID: 27031986 Free PMC article.
-
A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders.Clin Epigenetics. 2015 Apr 21;7(1):48. doi: 10.1186/s13148-015-0081-5. eCollection 2015. Clin Epigenetics. 2015. PMID: 25918558 Free PMC article.
-
On the optimistic performance evaluation of newly introduced bioinformatic methods.Genome Biol. 2021 May 11;22(1):152. doi: 10.1186/s13059-021-02365-4. Genome Biol. 2021. PMID: 33975646 Free PMC article.
-
Variable promoter methylation contributes to differential expression of key genes in human placenta-derived venous and arterial endothelial cells.BMC Genomics. 2013 Jul 15;14:475. doi: 10.1186/1471-2164-14-475. BMC Genomics. 2013. PMID: 23855827 Free PMC article.
-
Within-pair differences of DNA methylation levels between monozygotic twins are different between male and female pairs.BMC Med Genomics. 2016 Aug 26;9(1):55. doi: 10.1186/s12920-016-0217-2. BMC Med Genomics. 2016. PMID: 27561550 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Molecular Biology Databases