Publication date: Apr 13, 2019
To fully enable precision medicine, it is necessary to clearly define how each patient’s genome interacts with the unique combination of environmental factors that he or she has been exposed to and understand how these factors interact to cause disease at the individual level.
At the same time, while it is well known that an individual’s lifestyle and environment can impact the development of disease, measurements of environmental contribution are often performed at a population level and are often limited to conventional epidemiological studies with little precision toward a personal level.
They then approached the problem of individual environment and behavior, highlighting recent efforts using electronic health records in deep learning models to predict individual clinical outcomes, attempting to bridge population health and personalized medicine.
Their model, called BADGE for Bayesian Aggregation of Disease Genomic and Environment, provides a novel model to study gene-environment interactions, and is able to hierarchically model genetic risk, environmental factors and their mutual interactions using probabilistic learning techniques.
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- Future of Individualized Medicine 2019 – Michael Snyder
- Gene-Environment Interaction in the Era of Precision Medicine.
- Precision medicine/personalized medicine: a critical analysis of movements in the transformation of biomedicine in the early 21st century.
- Understanding gene interactions holds key to personalized medicine, scientists say
- Gene-environment interactions in Alzheimer’s Disease: A potential path to precision medicine.
- Viewpoint: Precision medicine plagued by an ’embarrassing’ human reference genome