摘要
在生物医学大数据背景下,精准医学的研究重点之一是基因型数据和表型数据的融合及关联分析,通过数据融合及关联分析,认识疾病表型特征与基因多态性及基因活动之间的关系。影像基因组学作为一个新兴研究领域,它将疾病影像数据和基因组数据整合,并挖掘两者之间的联系,从而发现能够反映基因多态或表达的影像特征,在此基础上建立基于影像特征的非侵入式疾病诊断方法,是目前生物医学最有前景的研究领域之一。综述了影像基因组学领域的研究方法,包括基因组数据分析、影像数据分析以及基因组数据-影像数据融合分析方法。在此基础上,介绍了影像基因组学目前在临床上的典型应用,包括疾病的辅助诊断、预后预测和疗效评估。最后,对影像基因组学的未来发展进行了展望。
The association analysis between genotypes and phenotypes has become an emphasis of Precision Medicine in the context of biomedical big data, by which the correlation between disease-associated phenotypic characteristics, genetics polymorphism and gene activities can be revealed. Imaging genomics,a new burgeoning and interdisciplinary research field,can extract the image characteristic of gene polymorphism or gene expression by integrating and analyzing image data and genome data. Thus,diagnostic method based on image features is likely to be noninvasive and promising. The paper principally expounded the main methods in the field of imaging genomics including genome data analysis,image data analysis and genome-image data fusion. And clinic application of imaging genomics such as assistant diagnosis of diseases,predict of clinical outcome and evaluation of curative effect was also discussed in this paper. At last,the future development of imaging genomics was prospected.
作者
谭俊
袁少勋
明文龙
孙啸
TAN Jun;YUAN Shaoxun;MING Wenlong;SUN Xiao(State Key Laboratory of Bioelectronics,College of Biological Science and Medical Engineering,Southeast University,Nanjing 210096,China)
出处
《生物技术进展》
2018年第4期277-283,共7页
Current Biotechnology
基金
江苏省重点研发计划项目(BE2016002-3)资助
