Genomics Translation: Evaluation of Genomics Applications in Practice and Prevention (EGAPP)

Presents evidence-based process for evaluating genetic tests; includes links to test recommendations and methods/process used to review evidence for recommendations.


Type Website
CME Available No
Topic
Cost Free
Note Archived Website


Date of Resource

Genomic Competencies

Experts from the disciplines listed below have tagged this resource as fulfulling genomic competencies.

Genetic Counselor

  • Genetics Expertise and Analysis
    • 4:   Identify, assess, facilitate, and integrate genetic testing options in genetic counseling practice.
      • 4a:   Investigate the availability, analytic validity, clinical validity, and clinical utility of screening, diagnostic and predictive genetic/genomic tests.
      • 4b:   Evaluate and assess laboratories and select the most appropriate laboratory and test based on the clinical situation.
      • 4c:   Identify and discuss the potential benefits, risks, limitations and costs of genetic testing.
      • 4d:   Coordinate and facilitate the ordering of appropriate genetic testing for the client.
      • 4e:   Interpret the clinical implications of genetic test reports.
      • 4f:   Recognize and differentiate specific considerations relevant to genetic versus genomic and clinical versus research testing in terms of the informed consent process, results disclosure, institutional review board (IRB) guidelines, and clinical decision-making.
    • 7:   Critically assess genetic/genomic, medical and social science literature and information.
      • 7a:   Plan and execute a thorough search and review of the literature.
      • 7b:   Evaluate and critique scientific papers and identify appropriate conclusions by applying knowledge of relevant research methodologies and statistical analyses.
      • 7c:   Synthesize information obtained from a literature review to utilize in genetic counseling encounters.
      • 7d:   Incorporate medical and scientific literature into evidenced-based practice recognizing that there are limitations and gaps in knowledge and data.