Local CpG density affects the trajectory and variance of age-associated DNA methylation changes

被引:10
|
作者
Higham, Jonathan [1 ]
Kerr, Lyndsay [1 ]
Zhang, Qian [2 ,3 ]
Walker, Rosie M. [4 ,5 ]
Harris, Sarah E. [6 ]
Howard, David M. [7 ,8 ]
Hawkins, Emma L. [8 ]
Sandu, Anca-Larisa [9 ]
Steele, J. Douglas [10 ]
Waiter, Gordon D. [9 ]
Murray, Alison D. [9 ]
Evans, Kathryn L. [4 ]
McIntosh, Andrew M. [8 ]
Visscher, Peter M. [2 ]
Deary, Ian J. [6 ]
Cox, Simon R. [6 ]
Sproul, Duncan [1 ,11 ]
机构
[1] Univ Edinburgh, Inst Genet & Canc, MRC Human Genet Unit, Edinburgh, Midlothian, Scotland
[2] Univ Queensland, Inst Mol Biosci, Brisbane, Qld, Australia
[3] Wellcome Sanger Inst, Hinxton, Cambs, England
[4] Univ Edinburgh, Ctr Genom & Expt Med, Inst Genet & Canc, Edinburgh, Midlothian, Scotland
[5] Univ Exeter, Sch Psychol, Edinburgh, Midlothian, Scotland
[6] Univ Edinburgh, Dept Psychol, Lothian Birth Cohorts Grp, Edinburgh, Midlothian, Scotland
[7] Kings Coll London, Social Genet & Dev Psychiat Ctr, Inst Psychiat Psychol & Neurosci, London, England
[8] Univ Edinburgh, Royal Edinburgh Hosp, Div Psychiat, Edinburgh, Midlothian, Scotland
[9] Univ Aberdeen, Aberdeen Biomed Imaging Ctr, Inst Med Sci, Aberdeen, Scotland
[10] Univ Dundee, Med Sch, Div Imaging Sci & Technol, Dundee, Scotland
[11] Univ Edinburgh, Inst Genet & Canc, CRUK Edinburgh Ctr, Edinburgh, Midlothian, Scotland
基金
澳大利亚研究理事会; 英国医学研究理事会; 英国生物技术与生命科学研究理事会; 美国国家卫生研究院; 英国惠康基金;
关键词
FLANKING SEQUENCE PREFERENCE; CXXC DOMAIN; ISLANDS; METHYLTRANSFERASES; HYPERMETHYLATION; IDENTIFICATION; LANDSCAPES; METHYLOME; INSIGHTS; SHAPE;
D O I
10.1186/s13059-022-02787-8
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: DNA methylation is an epigenetic mark associated with the repression of gene promoters. Its pattern in the genome is disrupted with age and these changes can be used to statistically predict age with epigenetic clocks. Altered rates of aging inferred from these clocks are observed in human disease. However, the molecular mechanisms underpinning age-associated DNA methylation changes remain unknown. Local DNA sequence can program steady-state DNA methylation levels, but how it influences age-associated methylation changes is unknown. Results: We analyze longitudinal human DNA methylation trajectories at 345,895 CpGs from 600 individuals aged between 67 and 80 to understand the factors responsible for age-associated epigenetic changes at individual CpGs. We show that changes in methylation with age occur at 182,760 loci largely independently of variation in cell type proportions. These changes are especially apparent at 8322 low CpG density loci. Using SNP data from the same individuals, we demonstrate that methylation trajectories are affected by local sequence polymorphisms at 1487 low CpG density loci. More generally, we find that low CpG density regions are particularly prone to change and do so variably between individuals in people aged over 65. This differs from the behavior of these regions in younger individuals where they predominantly lose methylation. Conclusions: Our results, which we reproduce in two independent groups of individuals, demonstrate that local DNA sequence influences age-associated DNA methylation changes in humans in vivo. We suggest that this occurs because interactions between CpGs reinforce maintenance of methylation patterns in CpG dense regions.
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页数:28
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