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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