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Pharmacogenomics and Biomarkers of Depression
Manish K. Jha
, Madhukar H. Trivedi
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
13
Scopus citations
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Keyphrases
Pharmacogenomics
100%
Antidepressants
100%
C-reactive Protein
60%
Major Depressive Disorder
40%
Proteomic Biomarkers
40%
Genetic Biomarkers
40%
Quality Measures
20%
Clinical Factors
20%
Antidepressant Treatment
20%
Standard of Care
20%
Anhedonia
20%
Protein-based
20%
Effective Treatment
20%
Treatment Assignment
20%
Insomnia
20%
Trial-and-error
20%
Noradrenergic
20%
Escitalopram
20%
Protein Biomarkers
20%
Pharmacogenomic Studies
20%
Measurement-based Care
20%
Multiple Medications
20%
Pragmatic Choice
20%
Medication Selection
20%
Blood-based
20%
Baseline Symptoms
20%
Real-world Clinical Practice
20%
Biochemistry, Genetics and Molecular Biology
Pharmacogenomics
100%
C-Reactive Protein
100%
Proteomics
66%
Genetics
33%
Dopaminergic
33%
Escitalopram
33%
Pharmacogenetic Testing
33%
Anhedonia
33%
Genomics
33%
Pharmacology, Toxicology and Pharmaceutical Science
Pharmacogenomics
100%
Biological Marker
100%
Antidepressant
100%
C Reactive Protein
50%
Major Depression
33%
Dopamine Receptor Stimulating Agent
16%
Escitalopram
16%
Neuroscience
Antidepressant
100%
Biological Marker
100%
C-Reactive Protein
50%
Major Depressive Disorder
33%
Proteomics
33%
Genetics
33%
Anhedonia
16%
Dopaminergic
16%
Escitalopram
16%