A population-epigenetic model to infer site-specific methylation rates from double-stranded DNA methylation patterns

被引:59
作者
Genereux, DP [1 ]
Miner, BE
Bergstrom, CT
Laird, CD
机构
[1] Emory Univ, Program Populat Biol Ecol & Evolut, Grad Div Biol & Biomed Sci, Atlanta, GA 30322 USA
[2] Univ Washington, Dept Biol, Seattle, WA 98195 USA
[3] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[4] Univ Washington, Ctr Human Dev & Disabil, Seattle, WA 98195 USA
关键词
bisulfite genomic sequencing; epigenetic fidelity; fragile X syndrome; mathematical modeling; population epigenetics;
D O I
10.1073/pnas.0502036102
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cytosine methylation is an epigenetic mechanism in eukaryotes that is often associated with stable transcriptional silencing, such as in X-chromosome inactivation and genomic imprinting. Aberrant methylation patterns occur in several inherited human diseases and in many cancers. To understand how methylated and unmethylated states of cytosine residues are transmitted during DNA replication, we develop a population-epigenetic model of DNA methylation dynamics. The model is informed by our observation that de novo methylation can occur on the daughter strand while leaving the opposing cytosine unmethylated, as revealed by the patterns of methylation on the two complementary strands of individual DNA molecules. Under our model, we can infer site-specific rates of both maintenance and de novo methylation, values that determine the fidelity of methylation inheritance, from double-stranded methylation data. This approach can be used for populations of cells obtained from individuals without the need for cell culture. We use our method to infer cytosine methylation rates at several sites within the promoter of the human gene FMR1.
引用
收藏
页码:5802 / 5807
页数:6
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