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Dataset Information

Community Approaches for Integrating Environmental Exposures into Human Models of Disease.


ABSTRACT:

Background

A critical challenge in genomic medicine is identifying the genetic and environmental risk factors for disease. Currently, the available data links a majority of known coding human genes to phenotypes, but the environmental component of human disease is extremely underrepresented in these linked data sets. Without environmental exposure information, our ability to realize precision health is limited, even with the promise of modern genomics. Achieving integration of gene, phenotype, and environment will require extensive translation of data into a standard, computable form and the extension of the existing gene/phenotype data model. The data standards and models needed to achieve this integration do not currently exist.

Objectives

Our objective is to foster develo

SUBMITTER: Thessen AE 

PROVIDER: S-EPMC7769179 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature