Complete pipeline for Infinium ® Human Methylation 450K BeadChip data processing using subset quantile normalization for accurate DNA methylation estimation

作者: Nizar Touleimat , Jörg Tost

DOI: 10.2217/EPI.12.21

关键词:

摘要: Background: Huge progress has been made in the development of array- or sequencing-based technologies for DNA methylation ana lysis. The Illumina Infinium ® Human Methylation 450K BeadChip (Illumina Inc., CA, USA) allows simultaneous quantitative monitoring more than 480,000 CpG positions, enabling large-scale epigenotyping studies. However, assay combines two different chemistries, which may cause a bias lysis if all signals are merged as unique source measurement. Materials & methods: We confirm three data sets that I stable and cover wider dynamic range values II signals. evaluated profile probes obtained with normalization protocols compared these results subset CpGs analyzed by pyrosequencing. Results: developed quantile approach processing BeadChips. were used ‘anchors’ to normalize at level probe coverage categories. Our outperformed alternative correction approaches terms signal estimation. further implemented complete preprocessing protocol solves most issues currently raised array users. Conclusion: pipeline using an original performs both sample efficient I/II shift correction. scripts, being freely available from authors, will allow researchers concentrate on biological data, such identification signatures.

参考文章(26)
Dajun Deng, Zhaojun Liu, Yantao Du, Epigenetic alterations as cancer diagnostic, prognostic, and predictive biomarkers. Advances in Genetics. ,vol. 71, pp. 125- 176 ,(2010) , 10.1016/B978-0-12-380864-6.00005-5
Mihaela Campan, Melissa Moffitt, Sahar Houshdaran, Hui Shen, Martin Widschwendter, Günter Daxenbichler, Tiffany Long, Christian Marth, Ite A. Laird-Offringa, Michael F. Press, Louis Dubeau, Kimberly D. Siegmund, Anna H. Wu, Susan Groshen, Uma Chandavarkar, Lynda D. Roman, Andrew Berchuck, Celeste L. Pearce, Peter W. Laird, Genome-Scale Screen for DNA Methylation-Based Detection Markers for Ovarian Cancer PLOS ONE. ,vol. 6, ,(2011) , 10.1371/JOURNAL.PONE.0028141
Zhijin Wu, Martin J. Aryee, Subset quantile normalization using negative control features. Journal of Computational Biology. ,vol. 17, pp. 1385- 1395 ,(2010) , 10.1089/CMB.2010.0049
Richard Shen, Marina Bibikova, Bret Barnes, Chan Tsan, Vincent Ho, Brandy Klotzle, Jennie M. Le, David Delano, Lu Zhang, Gary P. Schroth, Kevin L. Gunderson, Jian-Bing Fan, High density DNA methylation array with single CpG site resolution Genomics. ,vol. 98, pp. 288- 295 ,(2011) , 10.1016/J.YGENO.2011.07.007
Stefan T Boerno, Christina Grimm, Hans Lehrach, Michal-Ruth Schweiger, Next-generation sequencing technologies for DNA methylation analyses in cancer genomics Epigenomics. ,vol. 2, pp. 199- 207 ,(2010) , 10.2217/EPI.09.50
Vardhman K. Rakyan, Thomas A. Down, David J. Balding, Stephan Beck, Epigenome-wide association studies for common human diseases Nature Reviews Genetics. ,vol. 12, pp. 529- 541 ,(2011) , 10.1038/NRG3000
R. Bourgon, R. Gentleman, W. Huber, Independent filtering increases detection power for high-throughput experiments Proceedings of the National Academy of Sciences of the United States of America. ,vol. 107, pp. 9546- 9551 ,(2010) , 10.1073/PNAS.0914005107
Peter W. Laird, Principles and challenges of genome-wide DNA methylation analysis Nature Reviews Genetics. ,vol. 11, pp. 191- 203 ,(2010) , 10.1038/NRG2732
Matlock Jeffries, Mikhail Dozmorov, Yuhong Tang, Joan T. Merrill, Jonathan D. Wren, Amr H. Sawalha, Genome-wide DNA methylation patterns in CD4+ T cells from patients with systemic lupus erythematosus Epigenetics. ,vol. 6, pp. 593- 601 ,(2011) , 10.4161/EPI.6.5.15374
Vardhman K Rakyan, Huriya Beyan, Thomas A Down, Mohammed I Hawa, Siarhei Maslau, Deeqo Aden, Antoine Daunay, Florence Busato, Charles A Mein, Burkhard Manfras, Kerith-Rae M Dias, Christopher G Bell, Jörg Tost, Bernhard O Boehm, Stephan Beck, R David Leslie, None, Identification of Type 1 Diabetes–Associated DNA Methylation Variable Positions That Precede Disease Diagnosis PLoS Genetics. ,vol. 7, pp. e1002300- ,(2011) , 10.1371/JOURNAL.PGEN.1002300