Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies

Principal component analysis on a subset of differentially methylated regions in a mixture of cell types is the basis of ReFACTor, a program to account for heterogeneity in epigenome-wide association studies (EWAS). In epigenome-wide association studies (EWAS), different methylation profiles of dist...

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Veröffentlicht in:	Nature methods 2016-05, Vol.13 (5), p.443-445
Hauptverfasser:	Rahmani, Elior, Zaitlen, Noah, Baran, Yael, Eng, Celeste, Hu, Donglei, Galanter, Joshua, Oh, Sam, Burchard, Esteban G, Eskin, Eleazar, Zou, James, Halperin, Eran
Format:	Artikel
Sprache:	eng
Schlagworte:	631/114/2415 631/208/177 Algorithms Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology brief-communication Cellular biology Computer Simulation CpG Islands - genetics DNA methylation DNA Methylation - genetics Epigenomics - methods Epigenomics - statistics & numerical data Genetic Heterogeneity Genome-wide association studies Genome-Wide Association Study - methods Genome-Wide Association Study - statistics & numerical data Heterogeneity Humans Leukocytes - cytology Leukocytes - metabolism Life Sciences Methods Methylation Principal Component Analysis Principal components analysis Proteomics Studies
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