Specific examples |
Identify persons at increased risk of disease based on their genomic variants
Find all variants related to given phenotype or disease
Characterize variation in genes known to be related to disease or treatment response
Characterize phenotypic variation and effect modifiers in carriers of specific variants
Classify patients into subgroups with differing prognosis or treatment response (molecular taxonomy)
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Evaluate clinician and patient satisfaction with care after receipt of genomic information
Assess impact of reporting incidental findings on health behaviors, healthcare utilization, and psychological well-being
Identify causes of rare or undiagnosed diseases
Identify sources of infectious disease outbreaks and susceptibilities of infectious agents
Compare genome sequencing to enzymatic and other assays for modifiable metabolic disorders in newborns
Reclassify intermediate risk patients into high- and low-risk categories where differential interventions are available
Validate drug targets and develop improved therapeutic agents
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Educate clinicians and patients in clinical use of genomic information
Develop clinical informatics systems for reporting results of genomic analyses and providing decision support
Evaluate impact of using genomic variant information to individualize treatment
Incorporate genomic information into electronic medical records that can follow patients across care systems and throughout lifespan
Define clinically actionable genomic variants and disseminate that information and its relevant evidence base
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