Longitudinal personal DNA methylome dynamics in a human with a chronic condition
Author(s) -
Rui Chen,
Lin Xia,
Kailing Tu,
Meixue Duan,
Kimberly R. Kukurba,
Jennifer LiPookThan,
Dan Xie,
M Snyder
Publication year - 2018
Publication title -
nature medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.536
H-Index - 547
eISSN - 1546-170X
pISSN - 1078-8956
DOI - 10.1038/s41591-018-0237-x
Subject(s) - transcriptome , dna methylation , epigenomics , biology , genomics , epigenetics , genetics , genome , omics , human genome , methylation , gene , computational biology , gene expression
Epigenomics regulates gene expression and is as important as genomics in precision personal health, as it is heavily influenced by environment and lifestyle. We profiled whole-genome DNA methylation and the corresponding transcriptome of peripheral blood mononuclear cells collected from a human volunteer over a period of 36 months, generating 28 methylome and 57 transcriptome datasets. We found that DNA methylomic changes are associated with infrequent glucose level alteration, whereas the transcriptome underwent dynamic changes during events such as viral infections. Most DNA meta-methylome changes occurred 80-90 days before clinically detectable glucose elevation. Analysis of the deep personal methylome dataset revealed an unprecedented number of allelic differentially methylated regions that remain stable longitudinally and are preferentially associated with allele-specific gene regulation. Our results revealed that changes in different types of 'omics' data associate with different physiological aspects of this individual: DNA methylation with chronic conditions and transcriptome with acute events.
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