Prediction of response to drug therapy in psychiatric disorders

摘要: Personalized medicine has become increasingly relevant to many medical fields, promising more efficient drug therapies and earlier intervention. The development of personalized is coupled with the identification biomarkers classification algorithms that help predict responses different patients drugs. In last 10 years, Food Drug Administration (FDA) approved several genetically pre-screened drugs labelled as pharmacogenomics in fields oncology, pulmonary medicine, gastroenterology, haematology, neurology, rheumatology even psychiatry. Clinicians have long cautioned what may appear be similar patient-reported symptoms actually arise from biological causes. With growing populations being diagnosed psychiatric conditions, it critical for scientists clinicians develop precision medication tailored individual conditions. Genome-wide association studies highlighted complicated nature disorders such schizophrenia, bipolar disorder, major depression autism spectrum disorder. Following these studies, are needed look genomic markers responsiveness available within population a specific addition GWAS, advent new technologies brain imaging, cell reprogramming, sequencing gene editing given us opportunity characterize therapeutic response use all determining treatment options. this review, we discuss were performed find four disorders: We provide recommendations using an integrated method will techniques better prediction most suitable drug.