| 龙智平,王帆.多组学整合分析的设计及统计方法在肿瘤流行病学研究中的应用[J].中华流行病学杂志,2020,41(5):788-793 |
| 多组学整合分析的设计及统计方法在肿瘤流行病学研究中的应用 |
| Study design and statistical methods used for integrative analysis on multi-omics in cancer epidemiology |
| 收稿日期:2019-06-24 出版日期:2020-05-12 |
| DOI：10.3760/cma.j.cn112338-20190624-00461 |
| 中文关键词: 肿瘤 多组学 整合 |
| 英文关键词: Cancer Multi-omics Integration |
| 基金项目:国家自然科学基金（81773503，81573147） |
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| 摘要点击次数: 4711 |
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| 中文摘要: |
| 生物技术飞速发展为我们提供了大量生物系统中来自不同层面的组学数据，包括基因组学、转录组学、蛋白质组学、代谢组学和表观遗传学等。基于单组学数据的肿瘤研究日益成熟，而多组学数据研究的整合工作刚刚起步。肿瘤是一个复杂的调控系统，利用单一组学数据研究的局限性愈发显著，对多种层次和来源的高通量、多组学数据的整合分析势在必行。本文综述了近年来肿瘤方面组学的研究以及组学数据整合方面的研究现状，着重讨论研究设计和整合策略。 |
| 英文摘要: |
| Rapid development of biotechnology provides us with large number of omics data from different angles in biological research, including genomics, transcriptomics, proteomics, metabolomics and epigenetics. However, any single technology cannot reflect the entire picture of the biological complexity of most tumors. The integration of multiple technologies has emerged as a new approach to provide a more comprehensive view on the biological aspects of tumors. Despite the maturing of acquisition and processing approaches regarding the various omics data, integration of multi-omics data still needs to be developed. In this paper, we summarize the applications of various omics approaches in the field of cancer research, focusing on the current status of integration of omics data in the study design and strategies on cancer research. |
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