Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	A composite framework for the statistical analysis of epidemiological DNA methylation data with the Infinium Human Methylation 450k BeadChip
Δημιουργός/Συγγραφέας:	Valavanis I. Sifakis E.G. [EL] Γεωργιάδης, Παναγιώτης[EN] Georgiadis, Panagiotis [EL] Κυρτόπουλος, Σωτήριος Α.[EN] Kyrtopoulos, Soterios A. [EL] Χατζηιωάννου, Αριστοτέλης[EN] Chatziioannou, Aristotelis
Εκδότης:	Institute of Electrical and Electronics Engineers Inc.
Ημερομηνία:	2014
Γλώσσα:	Αγγλικά
ISSN:	2168-2194
DOI:	10.1109/JBHI.2014.2298351
Άλλο:	PubMed ID: 24808224
Περίληψη:	High-throughput DNA methylation profiling exploits microarray technologies thus providing a wealth of data, which however solicits rigorous, generic, and analytical pipelines for an efficient systems level analysis and interpretation. In this study, we utilize the Illumina's Infinium Human Methylation 450K BeadChip platform in an epidemiological cohort, targeting to associate interesting methylation patterns with breast cancer predisposition. The computational framework proposed here extends the - established in transcriptomic microarrays - logarithmic ratio of the methylated versus the unmethylated signal intensities, quoted as M -value. Moreover, intensity-based correction of the M -signal distribution is introduced in order to correct for batch effects and probe-specific errors in intensity measurements. This is accomplished through the estimation of intensity-related error measures from quality control samples included in each chip. Moreover, robust statistical measures exploiting the coefficient variation of DNA methylation measurements between control and case samples alleviate the impact of technical variation. The results presented here are juxtaposed to those derived by applying classical preprocessing and statistical selection methodologies. Overall, in comparison to traditional approaches, the superior performance of the proposed framework in terms of technical bias correction, along with its generic character, support its suitability for various microarray technologies.
Τίτλος πηγής δημοσίευσης:	IEEE Journal of Biomedical and Health Informatics
Τόμος/Κεφάλαιο:	18
Τεύχος:	3
Σελίδες:	817-823
Θεματική Κατηγορία:	[EL] Βιολογία (Γενικά)[EN] Biology (General)
Λέξεις-Κλειδιά:	Bootstrap correction DNA methylation profiling epigenomic analysis intensity-based normalization microarrays Statistical selection
Αξιολόγηση από ομότιμους (peer reviewed):	Ναι
Κάτοχος πνευματικών δικαιωμάτων:	© 2013 IEEE.
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο