Payer News
May 2020

Meta-analysis demonstrates significantly improved patient outcomes in major depressive disorder (MDD)

GeneSight® cohort outperforms treatment-as-usual (TAU) cohort in every endpoint

The clinical utility of combinatorial pharmacogenomic testing for patients with depression: a meta-analysis1 combined four two-arm studies2-6 evaluating whether pharmacogenomic intervention improved patient outcomes. The GeneSight cohort had significant results in every category compared to the treatment-as-usual group, despite both arms actively taking medication for MDD.

  • Symptom improvement Δ=10.08%, 95% CI=1.67-18.50, p=0.019;
  • Response RR=1.40, 95% CI=1.17-1.67, p<0.001;
  • Remission RR=1.49, 95% CI=1.17-1.89, p=0.001.

The importance of meta-analyses has been recognized by evidence frameworks such as the Grading of Recommendations Assessment, Development, and Evaluations (GRADE); the Canadian Network for Mood and Anxiety Treatments (CANMAT); and the Agency for Healthcare Research and Quality (AHRQ).7-10

"Systemic reviews or meta-analyses of randomized controlled trials (RCTs) and evidence-based clinical practice guidelines are considered to be the strongest level of evidence upon which to guide practice decisions."11

GeneSight: Information for Insurance Providers


1Brown L, et al. The clinical utility of combinatorial pharmacogenomic testing for patients with depression: a meta-analysis. Pharmacogenomics, published online ahead of print: 17 Apr 2020, https://doi.org/10.2217/pgs-2019-0157.

2Greden JF, et al. Impact of pharmacogenomics on clinical outcomes in major depressive disorder in the GUIDED trial: a large, patient- and rater-blinded, randomized, controlled study. J Psychiatr Res 2019 Apr; 111:59-67.

3Winner JG, et al. A prospective, randomized, double-blind study assessing the clinical impact of integrated pharmacogenomic testing for major depressive disorder. Discov Med 2013 Nov; 16(89):219-27.

4Hall-Flavin DK, et al. Utility of integrated pharmacogenomic testing to support the treatment of major depressive disorder in a psychiatric outpatient setting. Pharmacogenet Genomics 2013 Oct; 23(10): 535-48.

5Hall-Flavin DK, et al. Using a pharmacogenomic algorithm to guide the treatment of depression. Transl Psychiatry 2012 Oct; 2(10):e172.

6Altar CA, et al. Clinical utility of combinatorial pharmacogenomics-guided antidepressant therapy: evidence from three clinical studies. Mol Neuropsychiatry 2015; 1:125-55.

7GRADE working group, https://www.gradeworkinggroup.org/.

8Canadian Network for Mood and Anxiety Treatments (CANMAT), https://www.canmat.org/.

9Agency for Healthcare Research and Quality (AHRQ), https://www.ahrq.gov/.

10St. Clair J. “A new model of tracheostomy care: closing the research-practice gap. In Advances in patient safety: from research to implementation (volume 3 Implementation issues), edited by Henriksen K, Battles JB, Marks ES, et al. Rockville (MD) 2005 Feb.

11Melnyk BM, et al. Integrating levels of evidence into clinical decision making. Pediatric nursing; Pitman July/Aug 2004; 30(4):323-5.

Myriad, the Myriad logo, and GeneSight are either trademarks or registered trademarks of Myriad Genetics, Inc. in the United States and other jurisdictions. ©2020 Myriad Genetic Laboratories, Inc.

Changing lives through genetic insight

Myriad Genetic Laboratories, Inc. 320 Wakara Way Salt Lake City UT 84108 United States

You received this email because you are subscribed to Marketing Information from Myriad Genetic Laboratories, Inc..
Update your email preferences or unsubscribe.