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Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain
Published on: July 12, 2012
Variation of global DNA methylation levels with age and in autistic children
Shui-Ying Tsang1, Tanveer Ahmad1, Flora W K Mat1
1Division of Life Science, Applied Genomics Centre and Centre for Statistical Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
Background:
The change in epigenetic signatures, in particular DNA methylation, has been proposed as risk markers for various age-related diseases. However, the course of variation in methylation levels with age, the difference in methylation between genders, and methylation-disease association at the whole genome level is unclear. In the present study, genome-wide methylation levels in DNA extracted from peripheral blood for 2116 healthy Chinese in the 2-97 age range and 280 autistic trios were examined using the fluorescence polarization-based genome-wide DNA methylation quantification method developed by us.
Results:
Genome-wide or global DNA methylation levels proceeded through multiple phases of variation with age, consisting of a steady increase from age 2 to 25 (r = 0.382) and another rise from age 41 to 55 to reach a peak level of ~80 % (r = 0.265), followed by a sharp decrease to ~40 % in the mid-1970s (age 56 to 75; r = -0.395) and leveling off thereafter. Significant gender effect in methylation levels was observed only for the 41-55 age group in which methylation in females was significantly higher than in males (p = 0.010). In addition, global methylation level was significantly higher in autistic children than in age-matched healthy children (p < 0.001).
Conclusions:
The multiphasic nature of changes in global methylation levels with age was delineated, and investigation into the factors underlying this profile will be essential to a proper understanding of the aging process. Furthermore, this first report of global hypermethylation in autistic children also illustrates the importance of age-matched controls in characterization of disease-associated variations in DNA methylation.
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