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Suicidal ideation during antidepressant treatment: do genetic predictors exist?
1Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland. nader.perroud@hcuge.ch
Pharmacogenomic studies aim to predict suicidal ideation during antidepressant treatment using genetic variants. Current findings require validation in larger, well-defined patient groups to improve clinical strategies.
Area of Science:
- Neuroscience
- Pharmacology
- Genetics
Background:
- Clinical risk factors do not predict suicidal events during antidepressant treatment.
- Pharmacogenomic studies explore genetic variants for predicting individual susceptibility to suicidal ideation.
- Several genes related to neurotransmitter systems and brain function have been implicated.
Purpose of the Study:
- To review current pharmacogenomic research on predicting suicidal ideation during antidepressant treatment.
- To highlight potential genetic predictors and methodological challenges in the field.
Main Methods:
- Review of candidate gene and genome-wide association studies.
- Analysis of genes involved in neurotrophic, synaptic plasticity, noradrenergic, glutamatergic, inflammatory, and HPA axis systems.
- Discussion of methodological limitations in current research.
Main Results:
- Several genes (e.g., CREB1, BDNF, NTRK2, ADRA2A, GRIA3, GRIK2, GDA, IL28RA, FKBP5, PAPLN, APOO, KCNIP4, ELP3) have been associated with antidepressant-induced suicidal ideation.
- Findings require validation in phenotypically well-designed samples.
- Methodological issues include inconsistent phenotype definitions and lack of clinically significant suicidal events.
Conclusions:
- Pharmacogenomic studies have not yet fulfilled their promise in predicting suicidal ideation.
- Future research needs to focus on clinically significant events and robust phenotyping.
- Antidepressants generally show a beneficial effect on suicidal ideation, encouraging their prescription.
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