Analysis of high-throughput DNA methylation bead arrays utilizing bayesian genotyping algorithms

Yuanyuan Xiao, Mark R. Segal, E. Andres Houseman, Joe Wiemels, John Wiencke, Shichun Zheng, Margaret Wrensch, Brock Christensen, Carmen Marsit, Karl Kelsey, Heather Nelson, Margaret Karagas, Ru Fang Yeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a statistical framework, MAMS-M, for determining the methylation status of hundreds of cancer related CpG sites. MAMS-M extends and adapts our previous SNP genotyping algorithm, MAMS, to methylation bead array data, exploiting the similarities in data structure between the two platforms. MAMS-M employs a multi-site, multi-array model-based clustering approach to derive initial methylation calls, and then recalibrate these calls and associated confidence measures using site-specific adjustments. We demonstrate the performance of MAMS-M using a real-life data set with cancer applications.

Original languageEnglish (US)
Title of host publicationBioMedical Engineering and Informatics
Subtitle of host publicationNew Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Pages447-452
Number of pages6
DOIs
StatePublished - Sep 17 2008
EventBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 - Sanya, Hainan, China
Duration: May 27 2008May 30 2008

Publication series

NameBioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Volume1

Other

OtherBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
CountryChina
CitySanya, Hainan
Period5/27/085/30/08

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  • Cite this

    Xiao, Y., Segal, M. R., Houseman, E. A., Wiemels, J., Wiencke, J., Zheng, S., Wrensch, M., Christensen, B., Marsit, C., Kelsey, K., Nelson, H., Karagas, M., & Yeh, R. F. (2008). Analysis of high-throughput DNA methylation bead arrays utilizing bayesian genotyping algorithms. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 (pp. 447-452). [4548709] (BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008; Vol. 1). https://doi.org/10.1109/BMEI.2008.150