Stanford Center for Genomics and Personalized Medicine, Department of Genetics, Stanford University School of Medicine, Stanford CA, 94305, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford CA, 94305, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Stanford Center for Genomics and Personalized Medicine, Department of Genetics, Stanford University School of Medicine, Stanford CA, 94305, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
Cell. 2019 Mar 21;177(1):38-44. doi: 10.1016/j.cell.2019.03.004.
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.
需要创新的分析框架来捕捉复杂的基因-环境相互作用。我们研究了常用疾病基因组分析模型的不足,并提出在复杂疾病中考虑遗传相互作用。对于非遗传因素,我们研究了新兴的可穿戴技术,这些技术使生理和环境因素的量化达到了前所未有的广度和深度。我们提出了一个贝叶斯框架,用于分层建模个性化的基因-环境相互作用,以实现精准健康和医学。