This activity is part of the Frankly Speaking with Dr. Frank Domino podcast series.

Podcast

Selecting Medication for Depression: Do Genomics Matter? - Frankly Speaking EP 304Guest: Alan M. Ehrlich, MD, FAAFP
Music Credit: Richard Onorato

Pharmacogenomic testing has been suggested as a way to personalize medicine, particularly where the metabolism of medications can vary significantly. Unfortunately, despite increasing use of this testing, there has been little evidence showing a benefit in clinical outcomes. Listen to this podcast to explore the data on clinical outcomes for pharmacogenetic testing and how to best select medication for patients with depression.

Episode References and Resources: 

  • Oslin DW, Lynch KG, Shih MC, et al. Effect of Pharmacogenomic Testing for Drug-Gene Interactions on Medication Selection and Remission of Symptoms in Major Depressive Disorder: The PRIME Care Randomized Clinical Trial. JAMA. 2022;328(2):151-161.

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CME/CE Information

0 Credits - Not for CME/CE Credit

Release Date: 11/28/2022

Expiration Date: 11/28/2024

Learning Objectives

  • Discuss whether pharmacogenomics can be used to improve medication selection
  • Summarize the available treatment options for depression
     

     

 

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Faculty

Frank J. Domino, MD

Professor, Family Medicine and Community Health,
University of Massachusetts Medical School, Worcester, MA

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alan ehrlich

Alan M. Ehrlich, MD, FAAFP

Associate Professor of Family Medicine and Community Health, University of Massachusetts Medical School,
Executive Editor, DynaMed 

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Disclosures

The following financial relationships have been disclosed by faculty.

Frank J. Domino, MD

Has disclosed no relevant financial relationships. 

Alan Ehrlich, MD, FAAFP

Has disclosed no relevant financial relationships. 

 

Non-faculty contributors and others involved in the planning, development, and editing/review of the content have no relevant financial relationships to disclose.

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Selecting Medication for Depression: Do Genomics Matter? - Frankly Speaking EP 304

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