Innovative analytical frameworks are required to capture the complex gene-environment interactions. We investigate the insufficiency of commonly used models for disease genome analysis and suggest considering genetic interactions in complex diseases. For non-genetic factors, we study the emerging wearable technologies that have enabled quantification of physiological and environmental factors at an unprecedented breadth and depth. We propose a Bayesian framework to hierarchically model personalized gene-environmental interaction to enable precision health and medicine.
Gene-Environment Interaction in the Era of Precision Medicine.
精准医学时代的基因-环境相互作用
阅读:6
作者:Li Jingjing, Li Xiao, Zhang Sai, Snyder Michael
| 期刊: | Cell | 影响因子: | 42.500 |
| 时间: | 2019 | 起止号: | 2019 Mar 21; 177(1):38-44 |
| doi: | 10.1016/j.cell.2019.03.004 | ||
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