Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception

被引:106
|
作者
Slieker, Roderick C. [1 ]
Relton, Caroline L. [2 ]
Gaunt, Tom R. [2 ]
Slagboom, P. Eline [1 ]
Heijmans, Bastiaan T. [1 ]
机构
[1] Leiden Univ, Med Ctr, Dept Biomed Data Sci, Mol Epidemiol, Einthovenweg 20, NL-2333 ZC Leiden, Netherlands
[2] Univ Bristol, MRC Integrat Epidemiol Unit, Sch Social & Community Med, Bristol BS8 2BN, Avon, England
基金
英国生物技术与生命科学研究理事会; 英国医学研究理事会;
关键词
DNA methylation; 450; k; Tissue-specific; Ageing; INTEGRATIVE ANALYSIS; GENE-EXPRESSION; STEM-CELLS; WIDE; CANCER; HYPERMETHYLATION; WIDESPREAD; SENESCENCE; BLOOD;
D O I
10.1186/s13072-018-0191-3
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: The well-established association of chronological age with changes in DNA methylation is primarily founded on the analysis of large sets of blood samples, while conclusions regarding tissue-specificity are typically based on small number of samples, tissues and CpGs. Here, we systematically investigate the tissue-specific character of age-related DNA methylation changes at the level of the CpG, functional genomic region and nearest gene in a large dataset. Results: We assembled a compendium of public data, encompassing genome-wide DNA methylation data (Illumina 450k array) on 8092 samples from 16 different tissues, including 7 tissues with moderate to high sample numbers (Dataset size range 96-1202, N-total = 2858). In the 7 tissues (brain, buccal, liver, kidney, subcutaneous fat, monocytes and T-helper cells), we identified 7850 differentially methylated positions that gained (gain-aDMPs; cut-offs: P-bonf >= 0.05, effect size >= 2%/ 10 years) and 4,287 that lost DNA methylation with age (loss-aDMPs), 92% of which had not previously been reported for whole blood. The majority of all aDMPs identified occurred in one tissue only (gainaDMPs: 85.2%; loss-aDMPs: 97.4%), an effect independent of statistical power. This striking tissue-specificity extended to both the functional genomic regions (defined by chromatin state segmentation) and the nearest gene. However, aDMPs did accumulate in regions with the same functional annotation across tissues, namely polycomb-repressed CpG islands for gain-aDMPs and regions marked by active histone modifications for loss-aDMPs. Conclusion: Our analysis shows that age-related DNA methylation changes are highly tissue-specific. These results may guide the development of improved tissue-specific markers of chronological and, perhaps, biological age.
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页数:11
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