Gene-Environment Interaction in the Era of Precision Medicine
Author(s) -
Jingjing Li,
Xiao Li,
Sai Zhang,
M Snyder
Publication year - 2019
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.03.004
Subject(s) - biology , precision medicine , computational biology , wearable computer , personalized medicine , genome , data science , gene , gene–environment interaction , genetics , computer science , genotype , embedded system
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.
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