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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. Identifying the Common Genetic Basis of Antidepressant Response

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

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

6. Comparing sensitivity to change using the 6-item versus the 17-item Hamilton depression rating scale in the GUIDED randomized controlled trial

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

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

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

10. Identifying the Common Genetic Basis of Antidepressant Response

11. The utility of PHQ-9 and CGI-S in measurement-based care for predicting suicidal ideation and behaviors

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

13. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

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

15. Impact of pharmacogenomics on clinical outcomes in major depressive disorder in the GUIDED trial: A large, patient- and rater-blinded, randomized, controlled study

16. Clinical predictors of non-response to lithium treatment in the Pharmacogenomics of Bipolar Disorder (PGBD) study

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

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

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

20. Comparing sensitivity to change using the 6-item versus the 17-item Hamilton depression rating scale in the GUIDED randomized controlled trial

21. Does Childhood Trauma Moderate Polygenic Risk for Depression?

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

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

24. COMBINATORIAL PHARMACOGENETIC TESTING IMPROVES RESPONSE AND REMISSION FOR PATIENTS OVER 65 WITH DEPRESSION WHO HAVE FAILED ONE MEDICATION TRIAL

25. Impact of Pharmacogenomics on Clinical Outcomes for Patients Taking Medications With Gene-Drug Interactions in a Randomized Controlled Trial

26. Chronotype and cellular circadian rhythms predict the clinical response to lithium maintenance treatment in patients with bipolar disorder

27. Correction: Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

28. Polygenic scores for major depressive disorder and depressive symptoms predict response to lithium in patients with bipolar disorder

29. 2018 American Society of Consultant Pharmacists Annual MeetingExhibition

30. Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder

31. 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

32. Distinguishing bipolar from unipolar depression: the importance of clinical symptoms and illness features

33. Test–retest reliability of a new questionnaire for the retrospective assessment of long-term lithium use in bipolar disorder

34. High genetic loading of schizophrenia predicts poor response to lithium in patients with bipolar disorder: A polygenic score and cross-trait genetic analysis

35. Mobile technology for medication adherence in people with mood disorders: A systematic review

36. Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing

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

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

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

40. Co-morbid anxiety disorders in bipolar disorder and major depression: familial aggregation and clinical characteristics of co-morbid panic disorder, social phobia, specific phobia and obsessive-compulsive disorder

41. Genetic association of bipolar disorder with the β3 nicotinic receptor subunit gene

42. Genome-Wide Linkage and Follow-Up Association Study of Postpartum Mood Symptoms

43. The Intensive Treatment Unit: A brief inpatient detoxification facility demonstrating good postdetoxification treatment entry

44. Familial aggregation of postpartum mood symptoms in bipolar disorder pedigrees

45. Psychotic features in bipolar and unipolar depression

46. A comparison of the familiality of chronic depression in recurrent early-onset depression pedigrees using different definitions of chronicity

47. Reproductive cycle-associated mood symptoms in women with major depression and bipolar disorder

48. Mood-Incongruent Psychotic Features in Bipolar Disorder: Familial Aggregation and Suggestive Linkage to 2p11-q14 and 13q21-33

49. Familial Aggregation of Illness Chronicity in Recurrent, Early-Onset Major Depression Pedigrees

50. Genetic Approaches to Depression: Linkage Studies

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