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Forty-eight studies that measured DNA methylation in peripheral blood were identified, and 67% reported significant associations with dementia.
Baseline whole genome DNA methylation in peripheral blood mononuclear cells was analyzed using the Illumina® Infinium 450 k microarray.
This may reflect a reduced systemic remethylation capacity, which would be expected to cause decreased genomic DNA methylation in peripheral blood leukocytes (PBL).
This observational study used pyrosequencing to quantify DNA methylation in peripheral leukocytes at two tumor suppressor genes (p16 and p53) and two repetitive elements (LINE-1 and Alu).
In conclusion, neither natural cycle of hormones nor age has a detectable effect on the LINE-1 methylation in peripheral blood cells, while gender remains an important factor.
Moreover, in one study, large polyps were detected in approximately 20% of patients using the analysis of SEPT9 methylation in peripheral blood [14].
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To define the methylation ranges in controls, we assessed the methylation values in peripheral blood lymphocytes (PBLs) of 103 healthy individuals (HIs) and found mean methylation levels of 46% (range: 40 52%; SD, 2.4%) and 45% (range: 39 50%; SD, 2.2%) at ICR1 and ICR2, respectively.
Widschwendter et al. [18] examined locus-specific methylation and found that particular DNA methylation patterns in peripheral blood may serve as surrogate markers for breast cancer.
We do not know whether IGFBP1 DNA methylation levels in peripheral blood cells do reflect its methylation levels in the liver.
Although it is unclear how maternal lymphocyte methylation patterns correlate with germ cells or the fertilized oocyte, maternal methylation patterns in peripheral blood DNA have recently been shown to correlate with infant methylation patterns in certain loci [46], [47].
The accumulation of studies that have assessed DNA methylation patterns in lymphocytes in multiple diseases and exposures provides evidence that methylation patterns in peripheral blood cells may be useful in identifying biomarkers of various diseases.
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