| Literature DB >> 30901546 |
Jingjing Li1, Xiao Li2, Sai Zhang2, Michael Snyder3.
Abstract
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.Entities:
Mesh:
Year: 2019 PMID: 30901546 PMCID: PMC8108774 DOI: 10.1016/j.cell.2019.03.004
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582