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Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts
- Source :
- PLoS ONE, Ward, J, Graham, N, Strawbridge, R J, Ferguson, A, Jenkins, G, Chen, W, Hodgson, K, Frye, M, Weinshilboum, R, Uher, R, Lewis, C M, Biernacka, J & Smith, D J 2018, ' Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response : Meta-analysis of three treatment cohorts ', PLoS ONE, vol. 13, no. 9, e0203896 . https://doi.org/10.1371/journal.pone.0203896, PLoS ONE, Vol 13, Iss 9, p e0203896 (2018)
- Publication Year :
- 2018
- Publisher :
- Public Library of Science, 2018.
-
Abstract
- There are currently no reliable approaches for correctly identifying which patients with major depressive disorder (MDD) will respond well to antidepressant therapy. However, recent genetic advances suggest that Polygenic Risk Scores (PRS) could allow MDD patients to be stratified for antidepressant response. We used PRS for MDD and PRS for neuroticism as putative predictors of antidepressant response within three treatment cohorts: The Genome-based Therapeutic Drugs for Depression (GENDEP) cohort, and 2 sub-cohorts from the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomics Study PRGN-AMPS (total patient number = 760). Results across cohorts were combined via meta-analysis within a random effects model. Overall, PRS for MDD and neuroticism did not significantly predict antidepressant response but there was a consistent direction of effect, whereby greater genetic loading for both MDD (best MDD result, p < 5*10–5 MDD-PRS at 4 weeks, β = -0.019, S.E = 0.008, p = 0.01) and neuroticism (best neuroticism result, p < 0.1 neuroticism-PRS at 8 weeks, β = -0.017, S.E = 0.008, p = 0.03) were associated with less favourable response. We conclude that the PRS approach may offer some promise for treatment stratification in MDD and should now be assessed within larger clinical cohorts.
- Subjects :
- 0301 basic medicine
Oncology
Male
Multifactorial Inheritance
Heredity
Pharmacogenomic Variants
Genome-wide association study
Cohort Studies
0302 clinical medicine
Mathematical and Statistical Techniques
Risk Factors
Medicine and Health Sciences
Medicine
Principal Component Analysis
Multidisciplinary
Depression
Pharmaceutics
Drugs
Antidepressants
Genomics
Neuroticism
Antidepressive Agents
3. Good health
Antidepressant Drug Therapy
Meta-analysis
Cohort
Physical Sciences
Major depressive disorder
Antidepressant
Female
Genetic Load
Statistics (Mathematics)
Selective Serotonin Reuptake Inhibitors
Cohort study
Research Article
Biotechnology
Neurological Drug Therapy
medicine.medical_specialty
Science
Research and Analysis Methods
Polymorphism, Single Nucleotide
03 medical and health sciences
Genomic Medicine
Drug Therapy
Internal medicine
mental disorders
Mental Health and Psychiatry
Genome-Wide Association Studies
Genetics
Humans
Genetic Predisposition to Disease
Statistical Methods
Pharmacology
Depressive Disorder, Major
business.industry
Mood Disorders
Biology and Life Sciences
Computational Biology
Human Genetics
medicine.disease
Genome Analysis
030104 developmental biology
Pharmacogenomics
business
030217 neurology & neurosurgery
Mathematics
Meta-Analysis
Genome-Wide Association Study
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....775895179883d9a5dc14416762f88ff8