Identifying a predictive model for response to atypical antipsychotic monotherapy treatment in south Indian schizophrenia patients

Genomics

Sanjeev Jain¹  Meenal Gupta¹  Ritushree Kukreti¹  Harpreet Kaur¹  Ajay Jajodia¹  Nagaraj S. Moily¹ 

关键词: AAP;    TAP;    SZ;    SNP;    DSM IV;    NIMHANS;    SCAN;    QC;    CGI;    SPSS;    PPV;    NPV;    ROC;    AUC;    Antipsychotic drugs;    Pharmacogenetics;    Single nucleotide polymorphisms;    Gene–gene interaction;    Logistic regression;   

DOI  :  10.1016/j.ygeno.2013.02.002

学科分类：医学（综合）

来源: Academic Press

【 摘 要 】

Atypicalantipsychotic(AAP)drugsarethepreferredchoiceoftreatmentforschizophreniapatients.PatientswhodonotshowfavorableresponsetoAAPmonotherapyaresubjectedtorandomprolongedtherapeutictreatmentwithAAPmultitherapy,typicalantipsychoticsoracombinationofboth.Therefore,prioridentificationofpatients'responsetodrugscanbeanimportantstepinprovidingefficaciousandsafetherapeutictreatment.Wethusattemptedtoelucidateageneticsignaturewhichcouldpredictpatients'responsetoAAPmonotherapy.Ourlogisticregressionanalysesindicatedtheprobabilitythat76%patientscarryingcombinationoffourSNPswillnotshowfavorableresponsetoAAPtherapy.Therobustnessofthispredictionmodelwasassessedusingrepeated10-foldcrossvalidationmethod,andtheresultsacrossn-foldcross-validations(meanaccuracy#xA0;=#xA0;71.91%;95%CI#xA0;=#xA0;71.47ndash;72.35)suggesthighaccuracyandreliabilityofthepredictionmodel.Furthervalidationsoftheseresultsinlargesamplesetsarelikelytoestablishtheirclinicalapplicability.

【 授权许可】

Unknown   

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