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Article

GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.

Journal of psychiatric research - 1 Apr 2018

Maciukiewicz Malgorzata, Marshe Victoria S, Hauschild Anne-Christin, Foster Jane A, Rotzinger Susan, Kennedy James L, Kennedy Sidney H, Müller Daniel J, Geraci Joseph

Abstract excerpt

Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly treated with antidepressant drugs. However, large variability is observed in terms of response to antidepressants. Machine learning (ML) models may be useful to predict treatment outcomes. A sample of 186 MDD patients received treatment with duloxetine for up to 8 weeks were categorized as "responders" based on a...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29407288
DOI: 10.1016/j.jpsychires.2017.12.009

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