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Genetic Risk Assessment for Hereditary Cancer Syndromes (On-Demand)

Activity: Genetic Risk Assessment for Hereditary Cancer Syndromes (On-Demand Content)
January 1, 2022: 12:00 AM - December 31, 2023: 11:45 PM
Credits: 0.75 

Credits available:

AMA PRA Category 1: 0.75
Participation: 0.75


Genetic Risk Assessment for Hereditary Cancer Syndromes

Presenter: Elena M. Stoffel, MD, MPH

There are no relevant financial relationships to disclose for this activity.

Educational Objectives

At the end of this activity, participants should be able to:

  1. assess a patient’s risk for genetic susceptibility to cancer.
  2. understand best practices for cancer genetic testing, including models for cancer genetic services and clinical competencies for genetic testing.

Target Audience

This activity is appropriate for Medical Students, Nurse Practitioners, Nurses, Other Healthcare Professionals, Physician Assistants, Physicians in the fields of Hematology/Oncology, Other Healthcare Professions. 

Accreditation and Credit Designation

The University of Michigan Medical School is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

The University of Michigan Medical School designates this enduring material for a maximum of 0.75 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to .75 Medical Knowledge MOC points in the American Board of Internal Medicine (ABIM) Maintenance of Certification (MOC) program. It is the CME activity provider's responsibility to submit participant completion information to the ACCME for the purpose of granting ABIM MOC credit.

Original Release Date: January 2021
Termination Date: December 2023 

Additional Info

Bibliographic Resources

J. Balmama, S. Syngal JAMA 2006.
F. Kastrinos, JCO 2017
EGAPP, Genetics in Medicine 2009
Manolioet al, Nature 2009