2011
DOI: 10.1097/ypg.0b013e3283480485
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Genetic markers anticipate response to citalopram in a majority of patients

Abstract: For the majority of the patients, genetic markers can be used to guide selection of citalopram. The rules identified in this study can help personalize prescription of antidepressants.

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Cited by 3 publications
(2 citation statements)
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“…Data available through the Sequenced Treatment Alternatives to Relieve Depression database was used to create three boosted Classifi cation and Regression Trees to identify 16 subgroups of patients, among whom anticipation of positive or negative response to citalopram was signifi cantly different from 0.5 (Alemi et al 2011 ). In a 10-fold cross-validation, this ensemble of trees made no predictions in 33 % of cases.…”
Section: Individualization Of Ssri Treatmentmentioning
confidence: 99%
“…Data available through the Sequenced Treatment Alternatives to Relieve Depression database was used to create three boosted Classifi cation and Regression Trees to identify 16 subgroups of patients, among whom anticipation of positive or negative response to citalopram was signifi cantly different from 0.5 (Alemi et al 2011 ). In a 10-fold cross-validation, this ensemble of trees made no predictions in 33 % of cases.…”
Section: Individualization Of Ssri Treatmentmentioning
confidence: 99%
“…One study found these markers work for patients with psychiatric disorders [28,29]. Another study found that genetic markers could accurately (78% correct) predict response in 2/3rd of cases but not all cases [30]. Others have tried to improve the precision of antidepressant selection by dividing depression into sub-types.…”
Section: Introductionmentioning
confidence: 99%