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The effect of CYP2D6 variation on antipsychotic-induced hyperprolactinaemia: a systematic review and meta-analysis
- Source :
- The Pharmacogenomics Journal. 20:629-637
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Hyperprolactinemia is a known adverse drug reaction to antipsychotic treatment. Antipsychotic blood levels are influenced by cytochrome P450 enzymes, primarily CYP2D6. Variation in CYP450 genes may affect the risk of antipsychotic-induced hyperprolactinemia. We undertook a systematic review and meta-analysis to assess whether CYP2D6 functional genetic variants are associated with antipsychotic-induced hyperprolactinemia. The systematic review identified 16 relevant papers, seven of which were suitable for the meta-analysis (n = 303 participants including 134 extreme metabolisers). Participants were classified into four phenotype groups as poor, intermediate, extensive, and ultra-rapid metabolisers. A random effects meta-analysis was used and Cohen's d calculated as the effect size for each primary study. We found no significant differences in prolactin levels between CYP2D6 metabolic groups. Current evidence does not support using CYP2D6 genotyping to reduce risk of antipsychotic-induced hyperprolactinemia. However, statistical power is limited. Future studies with larger samples and including a range of prolactin-elevating drugs are needed.
- Subjects :
- Male
0301 basic medicine
CYP2D6
Pharmacogenomic Variants
medicine.medical_treatment
Bioinformatics
Affect (psychology)
Risk Assessment
030226 pharmacology & pharmacy
03 medical and health sciences
0302 clinical medicine
Risk Factors
Genetics
medicine
Humans
Antipsychotic
Genotyping
Pharmacology
business.industry
Hyperprolactinaemia
medicine.disease
Random effects model
Prolactin
Hyperprolactinemia
Phenotype
030104 developmental biology
Cytochrome P-450 CYP2D6
Pharmacogenetics
Meta-analysis
Molecular Medicine
Female
business
Biomarkers
Adverse drug reaction
Antipsychotic Agents
Subjects
Details
- ISSN :
- 14731150 and 1470269X
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- The Pharmacogenomics Journal
- Accession number :
- edsair.doi.dedup.....67d210af614031bdae13e0668e5efc3e
- Full Text :
- https://doi.org/10.1038/s41397-019-0142-9