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1. Exploring the genetics of lithium response in bipolar disorders

2. Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study

3. Gene-Environment Interactions

4. Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder

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

6. Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder.

7. Association of Attention-Deficit/Hyperactivity Disorder and Depression Polygenic Scores with Lithium Response: A Consortium for Lithium Genetics Study

8. Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients

9. Investigating the phenotypic and genetic associations between personality traits and suicidal behavior across major mental health diagnoses

11. What Should a Psychiatrist Know About Genetics? Review and Recommendations From the Residency Education Committee of the International Society of Psychiatric Genetics.

12. Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients

13. Identifying the Common Genetic Basis of Antidepressant Response

14. Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder

15. The association between genetically determined ABO blood types and major depressive disorder

16. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

19. The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls

20. Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression

22. Genetic variants associated with response to lithium treatment in bipolar disorder: a genome-wide association study.

23. HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders

24. Rare variants in neuronal excitability genes influence risk for bipolar disorder

25. Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.

27. List of contributors

28. Genome-wide Burden of Rare Short Deletions Is Enriched in Major Depressive Disorder in Four Cohorts

30. Efficient region-based test strategy uncovers genetic risk factors for functional outcome in bipolar disorder

31. Association of Whole-Genome and NETRIN1 Signaling Pathway–Derived Polygenic Risk Scores for Major Depressive Disorder and White Matter Microstructure in the UK Biobank

32. Mutations in the pancreatic secretory enzymes CPA1 and CPB1 are associated with pancreatic cancer

33. Does Childhood Trauma Moderate Polygenic Risk for Depression? A Meta-analysis of 5765 Subjects From the Psychiatric Genomics Consortium

34. Genome-wide association of bipolar disorder suggests an enrichment of replicable associations in regions near genes.

35. Microduplications of 16p11.2 are associated with schizophrenia

36. Polygenic risk prediction: why and when out-of-sample prediction R2 can exceed SNP-based heritability

37. The human colon cancer methylome shows similar hypo- and hypermethylation at conserved tissue-specific CpG island shores

38. Psychiatric Nosology

40. Correction: Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder

42. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

43. Data from Whole Genome Sequencing Defines the Genetic Heterogeneity of Familial Pancreatic Cancer

44. Supplementary Tables S1 - S12 from Whole Genome Sequencing Defines the Genetic Heterogeneity of Familial Pancreatic Cancer

46. GWAS Meta-Analysis of Suicide Attempt:Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors

47. The genetics of severe depression

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