Abstract

Unlike whole genome-wide association studies (GWAS) which can only discover variations in DNA that are frequent in the populations (greater than 1%), both exome sequencing and whole-genome sequencing may have the advantage of testing comprehensively the role of coding variation, both common and rare. It is expected that every gene may harbor functionally relevant variants. We are developing a new method to address the issues of population stratification. Using the Latino/Hispanic studies as an example, while carrying out common or rare variants analysis, it is important to consider the ethnicity impacts. These methods/pipelines are under development. We will soon start to apply our methods on real data including obsessive compulsive disorder, bipolar and schizophrenia.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIAMH002930-06
Application #
9357309
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
6
Fiscal Year
2016
Total Cost
Indirect Cost

  Institution

Name
U.S. National Institute of Mental Health
Department
Type
DUNS #
City
State
Country
Zip Code

  Publications

Guo, W; Samuels, J F; Wang, Y et al. (2017) Polygenic risk score and heritability estimates reveals a genetic relationship between ASD and OCD. Eur Neuropsychopharmacol 27:657-666
Tao, Yu; Gao, Hui; Ackerman, Benjamin et al. (2016) Evidence for contribution of common genetic variants within chromosome 8p21.2-8p21.1 to restricted and repetitive behaviors in autism spectrum disorders. BMC Genomics 17:163
Qin, H; Samuels, J F; Wang, Y et al. (2016) Whole-genome association analysis of treatment response in obsessive-compulsive disorder. Mol Psychiatry 21:270-6
Qin, Hai-De; Liao, Xiao-Yu; Chen, Yuan-Bin et al. (2016) Genomic Characterization of Esophageal Squamous Cell Carcinoma Reveals Critical Genes Underlying Tumorigenesis and Poor Prognosis. Am J Hum Genet 98:709-27
Zhang, Fuquan; Xu, Yong; Shugart, Yin Yao et al. (2015) Converging evidence implicates the abnormal microRNA system in schizophrenia. Schizophr Bull 41:728-35
Wang, Zhiqiang; Yang, Bixiu; Liu, Yansong et al. (2015) Further evidence supporting the association of NKAPL with schizophrenia. Neurosci Lett 605:49-52
Xu, Meng Yuan; Umbach, David M; Murphy, Eleanor et al. (2015) A Novel Mixture Model to Estimate the Time to Drug Effect Onset and Its Association with Covariates. Hum Hered 80:90-9
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; Cao, Hongbao et al. (2015) Mapsnp: an R package to plot a genomic map for single nucleotide polymorphisms. PLoS One 10:e0123609

Showing the most recent 10 out of 31 publications