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1. Focal adhesion is associated with lithium response in bipolar disorder: evidence from a network-based multi-omics analysis

2. Exploring the genetics of lithium response in bipolar disorders

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

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

8. Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia

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

11. Circadian rhythms in bipolar disorder patient-derived neurons predict lithium response: preliminary studies

12. Contributions of circadian clock genes to cell survival in fibroblast models of lithium-responsive bipolar disorder

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

14. The association between lithium use and neurocognitive performance in patients with bipolar disorder

15. Rare variants implicate NMDA receptor signaling and cerebellar gene networks in risk for bipolar disorder

16. Differential contributions of circadian clock genes to cell survival in bipolar disorder patient derived neuronal progenitor cells distinguishes lithium responders and non-responders

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

18. Entrainment of Circadian Rhythms to Temperature Reveals Amplitude Deficits in Fibroblasts from Patients with Bipolar Disorder and Possible Links to Calcium Channels

19. Comprehensive functional genomic resource and integrative model for the human brain

20. Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder

21. Detecting significant genotype-phenotype association rules in bipolar disorder: market research meets complex genetics.

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

24. Developing Treatments for Alzheimer’s and Related Disorders with Precision Medicine: A Vision

25. Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap

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

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

30. The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample

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

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

37. Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study

38. The Human Phenotype Ontology in 2024: phenotypes around the world

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

41. International Consortium on the Genetics of Electroconvulsive Therapy and Severe Depressive Disorders (Gen-ECT-ic)

42. Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder

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

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

45. Developing Treatments for Alzheimer’s and Related Disorders with Precision Medicine: A Vision

46. Host–parasite interaction associated with major mental illness

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

48. Genome wide association study identifies variants in NBEA associated with migraine in bipolar disorder

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

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