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1. Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients (vol 12, 278, 2022)

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

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

6. Association of polygenic score for major depression with response to lithium in patients with bipolar disorder

9. Investigating polygenic burden in age at disease onset in bipolar disorder: Findings from an international multicentric study

10. Analysis of the influence of microRNAs in lithium response in bipolar disorder

11. Association of polygenic score for schizophrenia and HLA antigen and inflammation genes with response to lithium in bipolar affective disorder: A genome-wide association study

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

14. Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder

15. A pilot study of plasma metabolomic patterns from patients treated with ketamine for bipolar depression : evidence for a response-related difference in mitochondrial networks

16. Common genetic variation and antidepressant efficacy in major depressive disorder : a meta-analysis of three genome-wide pharmacogenetic studies

17. The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data

18. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

19. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

20. The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data

21. Association Study of Phosphodiesterase Genes in the Sequenced Alternatives to Relieve Depression (STAR*D) Sample

22. Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report

23. Identification of common variants associated with human hippocampal and intracranial volumes.

24. Identification of common variants associated with human hippocampal and intracranial volumes

26. A functional alternative splicing mutation in human tryptophan hydroxylase-2

27. A functional alternative splicing mutation in human tryptophan hydroxylase-2

29. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

30. Association of polygenic score for major depression with response to lithium in patients with bipolar disorder

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

32. Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report

33. Exploring the genetics of lithium response in bipolar disorders.

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

35. Exploring the genetics of lithium response in bipolar disorders.

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

37. Lithium Response in Bipolar Disorder is Associated with Focal Adhesion and PI3K-Akt Networks: A Multi-omics Replication Study.

38. Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorder.

39. Treatment of US Children With Attention-Deficit/Hyperactivity Disorder in the Adolescent Brain Cognitive Development Study.

40. Association of Polygenic Score and the involvement of Cholinergic and Glutamatergic Pathways with Lithium Treatment Response in Patients with Bipolar Disorder.

41. Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach - CORRIGENDUM.

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

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

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

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

46. Citalopram-induced pathways regulation and tentative treatment-outcome-predicting biomarkers in lymphoblastoid cell lines from depression patients.

47. Investigating polygenic burden in age at disease onset in bipolar disorder: Findings from an international multicentric study.

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

49. Association of Polygenic Score for Schizophrenia and HLA Antigen and Inflammation Genes With Response to Lithium in Bipolar Affective Disorder: A Genome-Wide Association Study.

50. Delayed diagnosis in a house of correction: Smith-Magenis syndrome due to a de novo nonsense RAI1 variant.

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