Therapy response prediction in major depressive disorder: current and novel genomic markers influencing pharmacokinetics and pharmacodynamics

Pharmacogenomics. 2021 Jun;22(8):485-503. doi: 10.2217/pgs-2020-0157. Epub 2021 May 21.

Abstract

Major depressive disorder is connected with high rates of functional disability and mortality. About a third of the patients are at risk of therapy failure. Several pharmacogenetic markers especially located in CYP450 genes such as CYP2D6 or CYP2C19 are of relevance for therapy outcome prediction in major depressive disorder but a further optimization of predictive tools is warranted. The article summarizes the current knowledge on pharmacogenetic variants, therapy effects and side effects of important antidepressive therapeutics, and sheds light on new methodological approaches for therapy response estimation based on genetic markers with relevance for pharmacokinetics, pharmacodynamics and disease pathology identified in genome-wide association study analyses, highlighting polygenic risk score analysis as a tool for further optimization of individualized therapy outcome prediction.

Keywords: cytochrome P450; GWAS; major depressive disorder; pharmacogenomics; polygenic risk score analysis; therapy efficacy and safety.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Antidepressive Agents / pharmacokinetics*
  • Antidepressive Agents / therapeutic use*
  • Cytochrome P-450 Enzyme System / genetics
  • Depressive Disorder, Major / drug therapy*
  • Depressive Disorder, Major / genetics*
  • Genetic Markers / genetics*
  • Genome / genetics*
  • Genome-Wide Association Study / methods
  • Humans
  • Pharmacogenetics / methods
  • Polymorphism, Single Nucleotide / genetics

Substances

  • Antidepressive Agents
  • Genetic Markers
  • Cytochrome P-450 Enzyme System