Cell-type deconvolution in epigenome-wide association studies: a review and recommendations
文献类型：期刊论文
| 作者 | Teschendorff, Andrew E.2,3,4; Zheng, Shijie C.4; Zheng, Shijie C.1; , |
| 刊名 | EPIGENOMICS
 |
| 出版日期 | 2017 |
| 卷号 | 9期号:5页码:757-768 |
| 关键词 | cell-type heterogeneity DNA methylation EWAS |
| ISSN号 | 1750-1911 |
| DOI | 10.2217/epi-2016-0153 |
| 文献子类 | Review |
| 英文摘要 | A major challenge faced by epigenome-wide association studies (EWAS) is cell-type heterogeneity. As many EWAS have already demonstrated, adjusting for changes in cell-type composition can be critical when analyzing and interpreting findings from such studies. Because of their importance, a great number of different statistical algorithms, which adjust for cell-type composition, have been proposed. Some of the methods are 'reference based' in that they require a priori defined reference DNA methylation profiles of cell types that are present in the tissue of interest, while other algorithms are reference free.' At present, however, it is unclear how best to adjust for cell-type heterogeneity, as this may also largely depend on the type of tissue and phenotype being considered. Here, we provide a critical review of the major existing algorithms for correcting cell-type composition in the context of Illumina Infinium Methylation Beadarrays, with the aim of providing useful recommendations to the EWAS community. |
| 学科主题 | Genetics & Heredity |
| WOS关键词 | SURROGATE VARIABLE ANALYSIS ; DNA METHYLATION MICROARRAY ; GENE-EXPRESSION ; HUMAN GENOME ; UNWANTED VARIATION ; CORD BLOOD ; TUMOR PURITY ; WHOLE-BLOOD ; ARRAY DATA ; CPG SITES |
| 语种 | 英语 |
| WOS记录号 | WOS:000401642200013 |
| 出版者 | FUTURE MEDICINE LTD |
| 版本 | 出版稿 |
| 源URL | [http://202.127.25.144/handle/331004/523]  |
| 专题 | 中国科学院上海生命科学研究院营养科学研究所 |
| 作者单位 | 1.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China, 2.UCL, UCL Canc Inst, Stat Canc Genom, 72 Huntley St, London WC1E 6BT, England; 3.UCL, Dept Womens Canc, 74 Huntley St, London WC1E 6AU, England; 4.Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, CAS Key Lab Computat Biol, Shanghai 200031, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Teschendorff, Andrew E.,Zheng, Shijie C.,Zheng, Shijie C.,et al. Cell-type deconvolution in epigenome-wide association studies: a review and recommendations[J]. EPIGENOMICS,2017,9(5):757-768. |
| APA | Teschendorff, Andrew E.,Zheng, Shijie C.,Zheng, Shijie C.,&,.(2017).Cell-type deconvolution in epigenome-wide association studies: a review and recommendations.EPIGENOMICS,9(5),757-768. |
| MLA | Teschendorff, Andrew E.,et al."Cell-type deconvolution in epigenome-wide association studies: a review and recommendations".EPIGENOMICS 9.5(2017):757-768. |
入库方式： OAI收割
来源：上海营养与健康研究所
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