Presentation Information
[SY-56-01]Pharmacogenomic Research on Antipsychotic Therapy in Chinese Han Population
*Weihua Yue1,2,3,4,5 (1.Peking University Sixth Hospital(China), 2.Institute of Mental Health, Peking University(China), 3.NHC Key Laboratory of Mental Health (Peking University)(China), 4.National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)(China), 5.PKU-IDG/McGovern Institute for Brain Research(China))
Keywords:
Schizophrenia,Pharmacogenomics,Antipsychotics
Schizophrenia (SCZ) is one of the most complex diseases with high heterogeneity in mechanism or clinical phenotype. Without any specific or effective biomarkers, this is a very difficult issue for the clinicians to solve the key clinical issues about subjective diagnosis, or experiential therapy of schizophrenia. The strategy of genetics has been proven to be effective and helpful to explore the mechanism of schizophrenia and the molecular basis of antipsychotic medications. The speaker has been committed to finding the susceptibility genes of schizophrenia in Chinese Han population. The major topic are as follows: 1) Using the genome-wide association study (GWAS) and meta-analysis, her group has found several novel susceptible loci of schizophrenia. Combined clues of bioinformatics data and functional experiments, they further explored the potential function of the novel susceptible genes. 2) Using the multi-omics approaches, they found there were very important interactive effects on genetic polymorphisms or variants, on transcriptional levels or neuroimaging characters in schizophrenia patients. 3) With a relatively large sample size of pharmacogenomics, her group reported several susceptible genes associated with individual differences in therapeutic or side effects of common antipsychotic medicines. Based on the genetic, clinical-environmental, brain structure or function, molecular pathway, her group explored the potential objective biomarkers for diagnosis and biotypes with clinical implications of efficacy prediction for schizophrenia.