Estimating cell-type-specific DNA methylation effects in heterogeneous cellular populations

被引:2
作者
Feng, Yen-Chen A. [1 ,2 ,3 ]
Guo, Yichen [4 ,5 ]
Pain, Lucile [6 ]
Lathrop, G. Mark [7 ,8 ]
Laprise, Catherine [9 ,10 ]
Moffatt, Miriam F. [11 ]
Cookson, William O. C. M. [11 ]
Liang, Liming [1 ,4 ]
机构
[1] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[2] Massachusetts Gen Hosp, Ctr Genom Med, Boston, MA 02114 USA
[3] Broad Inst Harvard & MIT, Cambridge, MA 02142 USA
[4] Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[5] Harvard TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA 02115 USA
[6] Univ Quebec Chicoutimi, Basic Sci Dept, Quebec City, PQ G7H 2B1, Canada
[7] McGill Univ, Dept Human Genet, Montreal, PQ H3A 1B1, Canada
[8] Genome Quebec Innovat Ctr, Montreal, PQ H3A 1B1, Canada
[9] Univ Quebec Chicoutimi, Ctr Rech Sante Durable CIHR, Chicoutimi, PQ G7H 2B1, Canada
[10] Ctr Integre Univ Sante & Serv Sociaux Saguenay La, Quebec City, PQ G7H 7K9, Canada
[11] Imperial Coll, Natl Heart & Lung Inst, London SW3 6LY, England
关键词
cell-type-specific effect; deconvolution; DNA methylation; epigenome-wide association study; EPIGENOME-WIDE ASSOCIATION;
D O I
10.2217/epi-2020-0147
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Aim: To develop a method for estimating cell-specific effects in epigenomic association studies in the presence of cell type heterogeneity. Materials & methods: We utilized Monte Carlo Expectation-Maximization (MCEM) algorithm with Metropolis-Hastings sampler to reconstruct the 'missing' cell-specific methylations and to estimate their associations with phenotypes free of confounding by cell type proportions. Results: Simulations showed reliable performance of the method under various settings including when the cell type is rare. Application to a real dataset recapitulated the directly measured cell-specific methylation pattern in whole blood. Conclusion: This work provides a framework to identify important cell groups and account for cell type composition useful for studying the role of epigenetic changes in human traits and diseases.
引用
收藏
页码:87 / 97
页数:11
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