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Your search keyword '"Jubao Duan"' showing total 37 results

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37 results on '"Jubao Duan"'

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1. Sex-specific nicotine sensitization and imprinting of self-administration in rats inform GWAS findings on human addiction phenotypes

2. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

3. A computational method for direct imputation of cell type-specific expression profiles and cellular compositions from bulk-tissue RNA-Seq in brain disorders

4. CCmed: Cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression

5. A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts

6. Genome-Wide Association Study of Male Sexual Orientation

7. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

8. Allele-specific open chromatin in human iPSC neurons elucidates functional non-coding disease variants

9. Deconvolution of transcriptional networks identifies TCF4 as a master regulator in schizophrenia

10. ASCL1- and DLX2-induced GABAergic neurons from hiPSC-derived NPCs

11. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

12. From Schizophrenia Genetics to Disease Biology: Harnessing New Concepts and Technologies

13. Transcriptomic signatures of schizophrenia revealed by dopamine perturbation in an ex vivo model

14. Transcriptional network analysis on brains reveals a potential regulatory role of PPP1R3F in autism spectrum disorders

15. From Genetic Association To Disease Biology: 2d And 3d Human Ipsc Models of Neuropsychiatric Disorders and Crispr/Cas9 Genome Editing

16. LANDSCAPE OF ALLELE-SPECIFIC OPEN CHROMATIN IN HUMAN IPSC-DIFFERENTIATED NEURONS AND IT IMPLICATION FOR MENTAL DISORDERS

17. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

18. Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood

19. Age at first birth in women is genetically associated with increased risk of schizophrenia

20. Genetic correlation between amyotrophic lateral sclerosis and schizophrenia

21. A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects

22. Winners curse correction and variable thresholding improve performance of polygenic risk modeling based on summary-level data from genome-wide association studies

23. Genome-Wide Association Study of Multiplex Schizophrenia Pedigrees

24. Hundreds of variants clustered in genomic loci and biological pathways affect human height

25. New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis

26. Transcriptome outlier analysis implicates schizophrenia susceptibility genes and enriches putatively functional rare genetic variants

27. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

28. Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder

29. Genomewide Linkage Scan of 409 European-Ancestry and African American Families with Schizophrenia: Suggestive Evidence of Linkage at 8p23.3-p21.2 and 11p13.1-q14.1 in the Combined Sample

30. Polymorphisms in the Trace Amine Receptor 4 (TRAR4) Gene on Chromosome 6q23.2 Are Associated with Susceptibility to Schizophrenia

31. Transcriptome sequencing study implicates immune-related genes differentially expressed in schizophrenia: new data and a meta-analysis

32. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

33. Genome-wide survey of interindividual differences of RNA stability in human lymphoblastoid cell lines

34. Meta-analysis of 32 genome-wide linkage studies of schizophrenia

35. Genomewide linkage scan of schizophrenia in a large multicenter pedigree sample using single nucleotide polymorphisms

36. Narcolepsy is strongly associated with the T-cell receptor alpha locus

37. Genome-wide meta-analyses identify multiple loci associated with smoking behavior

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