Abstract: The present invention provides, inter alia, a method for generating a genome-wide epigenomic map, comprising a correlation between methylation variable CpG positions (MVP) and genomic DNA sample types. MVP are those CpG positions that show a variable quantitative level of methylation between sample types. Particular genomic regions of interest (ROI) provide preferred marker sequences that comprise multiple, and preferably proximate MVP, and that have novel utility for distinguishing sample types. The epigenic maps have broad utility, for example, in identifying sample types, or for distinguishing between and among sample types. In a preferred embodiment the epigenomic map is based on methylation variable regions (MVP) within the major histocompatibility complex (MHC), and has utility, for example, in identifying the cell or tissue source of a genomic DNA sample, or for distinguishing one or more particular cell or tissue types among other cell or tissue types.

Abstract: The present invention provides, inter alia, a method for generating a genome-wide epigenomic map, comprising a correlation between methylation variable CpG positions (MVP) and genomic DNA sample types. MVP are those CpG positions that show a variable quantitative level of methylation between sample types. Particular genomic regions of interest (ROI) provide preferred marker sequences that comprise multiple, and preferably proximate MVP, and that have novel utility for distinguishing sample types. The epigenic maps have broad utility, for example, in identifying sample types, or for distinguishing between and among sample types. In a preferred embodiment the epigenomic map is based on methylation variable regions (MVP) within the major histocompatibility complex (MHC), and has utility, for example, in identifying the cell or tissue source of a genomic DNA sample, or for distinguishing one or more particular cell or tissue types among other cell or tissue types.