Reduce Trial-and-Error Prescribing for Mental Health Treatment

Improve lives and reduce costs when it matters most.

Pharmacogenomics (PGx)—how a person’s unique DNA impacts her/his response to medications—is the solution to many of today’s healthcare challenges.

Prescription drug use to treat mental health conditions is increasing during COVID-19.1

  • As of mid-July 2020, 53% of adults in the U.S. reported that their mental health has been negatively impacted.2
  • Mental health spending rose to $225 billion in 2019—an increase of 52% in the past decade3—a number likely to increase.
  • Approximately 60 FDA-approved medications used to treat mental health concerns are impacted by genetics.

Medication Impact

PGx accounts for drug-gene interactions to improve drug safety, predict responders vs non-responders, and identify those at risk of developing serious or life-threatening adverse drug events with certain medications.

Adverse Drug Events (ADEs)

ADEs can range from nausea, fatigue, and weight gain to extreme instances of muscle pain, seizures, and even death.

Personalized Treatment

Tailoring treatment based on a patient’s genetics can improve efficacy and reduce potential toxicity. PGx has been demonstrated to improve outcomes in cancer, depression, pain management, and many other conditions.4-9

Reduce Trial-and-Error Prescribing for Mental Health Treatment

Power In KnowingTM

Coriell Life Sciences (CLS) is a precision medicine company using pharmacogenomics to improve lives, reduce healthcare costs, and simplify decision-making.

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    1America’s State of Mind Report. https://www.express-scripts.com/corporate/americas-state-of-mind-report

    2The Implications of COVID-19 for Mental Health and Substance Use. https://www.kff.org/coronavirus-covid-19/issue-brief/the-implications-of-covid-19-for-mental-health-and-substance-use/

    3Mental Health Spending Now & After the Pandemic https://openminds.com/market-intelligence/executive-briefings/mental-health-spending-now-after-the-pandemic/

    4Romero Lagunes, M.L.; Vera Badillo, F.E. Design and Implementing Pharmacogenomics Study in Cancer. Adv Exp Med Biol 2019, 1168, 43-77, doi:10.1007/978-3-030-24100-1_4. 

    5Jha, M.K.; Trivedi, M.H. Pharmacogenomics and Biomarkers of Depression. Handb Exp Pharmacol 2019, 250, 101-113, doi:10.1007/164_2018_171. 

    6Morales-Espinosa, D.; Garcia-Roman, S.; Karachaliou, N.; Rosell, R. Pharmacogenomics in the treatment of lung cancer: an update. Pharmacogenomics 2015, 16, 1751-1760, doi:10.2217/pgs.15.99. 

    7Roden, D.M. Cardiovascular pharmacogenomics: current status and future directions. J Hum Genet 2016, 61, 79-85, doi:10.1038/jhg.2015.78. 

    8Sleder, A.T.; Kalus, J.; Lanfear, D.E. Cardiovascular Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics for the Clinical Practitioner. J Cardiovasc Pharmacol Ther 2016, 21, 20-26, 429 doi:10.1177/1074248415590196. 

    9Bondy, B. Pharmacogenomics in depression and antidepressants. Dialogues in clinical neuroscience 2005, 7, 223-230.

    Last Updated: October 20, 2021