Lin Yuxin, Chen Jiajia, Shen Bairong
Center for Systems Biology, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu, 215006, China.
School of Chemistry, Biology and Materials Engineering, Suzhou University of Science and Technology, No.1 Kerui road, Suzhou, Jiangsu, 215011, China.
Adv Exp Med Biol. 2017;1005:167-191. doi: 10.1007/978-981-10-5717-5_8.
The occurrence and progression of diseases are strongly associated with a combination of genetic, lifestyle, and environmental factors. Understanding the interplay between genetic and nongenetic components provides deep insights into disease pathogenesis and promotes personalized strategies for people healthcare. Recently, the paradigm of systems medicine, which integrates biomedical data and knowledge at multidimensional levels, is considered to be an optimal way for disease management and clinical decision-making in the era of precision medicine. In this chapter, epigenetic-mediated genetics-lifestyle-environment interactions within specific diseases and different ethnic groups are systematically discussed, and data sources, computational models, and translational platforms for systems medicine research are sequentially presented. Moreover, feasible suggestions on precision healthcare and healthy longevity are kindly proposed based on the comprehensive review of current studies.
疾病的发生和发展与遗传、生活方式和环境因素的综合作用密切相关。了解遗传和非遗传成分之间的相互作用,能为疾病发病机制提供深刻见解,并推动个性化医疗保健策略的发展。近年来,系统医学范式将生物医学数据和知识整合到多维层面,被认为是精准医学时代疾病管理和临床决策的最佳方式。在本章中,将系统地讨论特定疾病和不同种族中表观遗传介导的遗传-生活方式-环境相互作用,并依次介绍系统医学研究的数据来源、计算模型和转化平台。此外,在全面综述当前研究的基础上,还提出了关于精准医疗保健和健康长寿的可行建议。