Association between genetic polymorphism and antidepressants in major depression: a network meta-analysis

Pharmacogenomics. 2020 Aug;21(13):963-974. doi: 10.2217/pgs-2020-0037. Epub 2020 Aug 21.

Abstract

This network meta-analysis was conducted to compare the predictive value of eight SNPs on the efficacy of antidepressants in major depressive disorder (MDD), including 5-HTTLPR, 5HTR2A (rs6311, rs6314, rs7997012 and rs6313), 5HTR2A (rs6295), BDNF (rs6265) and 5HTTSTin2. Databases were searched for related studies published up to December 2019. A total of 16 studies were included in this study. The predictive value were evaluated by the use of the odd ratios (OR) and drawing surface under the cumulative ranking curves (SUCRA). The pairwise meta-analysis indicated that in terms of overall response ratio, the SNPs were not associated with the efficacy of antidepressants in MDD. The result of this network meta-analysis suggested that there was no significant difference in predictive value of eight SNPs on the efficacy of antidepressants in MDD. More research is needed to explore the relationship between SNPs and antidepressant response.

Keywords: antidepressants; genetic polymorphism; major depression; predictive.

Publication types

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

MeSH terms

  • Antidepressive Agents / therapeutic use*
  • Depressive Disorder, Major / drug therapy*
  • Depressive Disorder, Major / genetics*
  • Humans
  • Network Meta-Analysis
  • Polymorphism, Single Nucleotide / genetics*

Substances

  • Antidepressive Agents