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- Publication . Article . 2015Open AccessAuthors:Ruiwei Jiang; Meaghan J. Jones; Edith Chen; Sarah M. Neumann; Hunter B. Fraser; Gregory E. Miller; Michael S. Kobor;Ruiwei Jiang; Meaghan J. Jones; Edith Chen; Sarah M. Neumann; Hunter B. Fraser; Gregory E. Miller; Michael S. Kobor;Publisher: Springer Science and Business Media LLCProject: NIH | Maternal Behavior and Epi... (1R24MH081797-01), NIH | Biological Embedding of E... (5R01HD058502-03)
Population epigenetic studies have been seeking to identify differences in DNA methylation between specific exposures, demographic factors, or diseases in accessible tissues, but relatively little is known about how inter-individual variability differs between these tissues. This study presents an analysis of DNA methylation differences between matched peripheral blood mononuclear cells (PMBCs) and buccal epithelial cells (BECs), the two most accessible tissues for population studies, in 998 promoter-located CpG sites. Specifically we compared probe-wise DNA methylation variance, and how this variance related to demographic factors across the two tissues. PBMCs had overall higher DNA methylation than BECs, and the two tissues tended to differ most at genomic regions of low CpG density. Furthermore, although both tissues showed appreciable probe-wise variability, the specific regions and magnitude of variability differed strongly between tissues. Lastly, through exploratory association analysis, we found indication of differential association of BEC and PBMC with demographic variables. The work presented here offers insight into variability of DNA methylation between individuals and across tissues and helps guide decisions on the suitability of buccal epithelial or peripheral mononuclear cells for the biological questions explored by epigenetic studies in human populations.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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1 Research products, page 1 of 1
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- Publication . Article . 2015Open AccessAuthors:Ruiwei Jiang; Meaghan J. Jones; Edith Chen; Sarah M. Neumann; Hunter B. Fraser; Gregory E. Miller; Michael S. Kobor;Ruiwei Jiang; Meaghan J. Jones; Edith Chen; Sarah M. Neumann; Hunter B. Fraser; Gregory E. Miller; Michael S. Kobor;Publisher: Springer Science and Business Media LLCProject: NIH | Maternal Behavior and Epi... (1R24MH081797-01), NIH | Biological Embedding of E... (5R01HD058502-03)
Population epigenetic studies have been seeking to identify differences in DNA methylation between specific exposures, demographic factors, or diseases in accessible tissues, but relatively little is known about how inter-individual variability differs between these tissues. This study presents an analysis of DNA methylation differences between matched peripheral blood mononuclear cells (PMBCs) and buccal epithelial cells (BECs), the two most accessible tissues for population studies, in 998 promoter-located CpG sites. Specifically we compared probe-wise DNA methylation variance, and how this variance related to demographic factors across the two tissues. PBMCs had overall higher DNA methylation than BECs, and the two tissues tended to differ most at genomic regions of low CpG density. Furthermore, although both tissues showed appreciable probe-wise variability, the specific regions and magnitude of variability differed strongly between tissues. Lastly, through exploratory association analysis, we found indication of differential association of BEC and PBMC with demographic variables. The work presented here offers insight into variability of DNA methylation between individuals and across tissues and helps guide decisions on the suitability of buccal epithelial or peripheral mononuclear cells for the biological questions explored by epigenetic studies in human populations.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.