Using the sparse representation based variable selection (SRVS) based integrated analysis of gene expression and SNP data sets, we hope to identify a set of potential genomics markers for schizophrenia. Our initial analysis provided encouraging results. Therefore, we are seeking more samples for the purpose of validation. The validation will be carried out through extensive collaboration. We are running simulations to calculate the sample size required to test a set of study hypotheses that we are interested.

Project Start
Project End
Budget Start
Budget End
Support Year
4
Fiscal Year
2016
Total Cost
Indirect Cost
Name
U.S. National Institute of Mental Health
Department
Type
DUNS #
City
State
Country
Zip Code
Luo, Xin; Jin, Chunhui; Zhou, Zhenhe et al. (2015) New findings support the association of DISC1 genetic variants with susceptibility to schizophrenia in the Han Chinese population. Psychiatry Res 228:966-8
Wang, Yi; Li, Yi; Cao, Hongbao et al. (2015) Efficient test for nonlinear dependence of two continuous variables. BMC Bioinformatics 16:260
Wang, Jicai; Cao, Hongbao; Liao, Yanhui et al. (2015) Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings. Neuroimage Clin 8:95-103
Zhang, Fuquan; Xu, Yong; Shugart, Yin Yao et al. (2015) Converging evidence implicates the abnormal microRNA system in schizophrenia. Schizophr Bull 41:728-35
Cao, Hongbao; Duan, Junbo; Lin, Dongdong et al. (2014) Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs. Neuroimage 102 Pt 1:220-8
Merikangas, K R; Cui, L; Heaton, L et al. (2014) Independence of familial transmission of mania and depression: results of the NIMH family study of affective spectrum disorders. Mol Psychiatry 19:214-9
Yuan, Jianmin; Jin, Chunhui; Qin, Hai-De et al. (2013) Replication study confirms link between TSPAN18 mutation and schizophrenia in Han Chinese. PLoS One 8:e58785