Author Ardau, Raffaella

1 to 8 of 8 Items
  • 2010 | Journal Article | 
    ​ ​The International Consortium on Lithium Genetics (ConLiGen): An Initiative by the NIMH and IGSLI to Study the Genetic Basis of Response to Lithium Treatment​
    Schulze, T. G.; Alda, M.; Adli, M.; Akula, N.; Ardau, R.; Bui, E. T. & Chillotti, C. et al.​ (2010) 
    Neuropsychobiology, 62(1) pp. 72​-78​.​ DOI: https://doi.org/10.1159/000314708 
    ​Details  DOI  PMID  PMC  WoS 
  • 2013 | Journal Article | 
    ​ ​Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report​
    Manchia, M.; Adli, M.; Akula, N.; Ardau, R.; Aubry, J.-M.; Backlund, L. & Banzato, C. E. M. et al.​ (2013) 
    PLoS ONE, 8(6) art. e65636​.​ DOI: https://doi.org/10.1371/journal.pone.0065636 
    ​Details  DOI  PMID  PMC 
  • 2016 | Journal Article
    ​ ​Genetic variants associated with response to lithium treatment in bipolar disorder: a genome-wide association study​
    Hou, L.; Heilbronner, U. ; Degenhardt, F.; Adli, M.; Akiyama, K.; Akula, N. & Ardau, R. et al.​ (2016) 
    The Lancet, 387(10023) pp. 1085​-1093​.​ DOI: https://doi.org/10.1016/S0140-6736(16)00143-4 
    ​Details  DOI 
  • 2016 | Journal Article
    ​ ​Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder​
    Hou, L.; Bergen, S. E.; Akula, N.; Song, J.; Hultman, C. M.; Landén, M. & Adli, M. et al.​ (2016) 
    Human Molecular Genetics, 25(15) pp. 3383​-3394​.​ DOI: https://doi.org/10.1093/hmg/ddw181 
    ​Details  DOI 
  • 2021 | Journal Article | 
    ​ ​Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients​
    Schubert, K. O.; Thalamuthu, A.; Amare, A. T.; Frank, J.; Streit, F.; Adl, M. & Akula, N. et al.​ (2021) 
    Translational Psychiatry, 11(1) art. 606​.​ DOI: https://doi.org/10.1038/s41398-021-01702-2 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach​
    Cearns, M.; Amare, A. T.; Schubert, K. O.; Thalamuthu, A.; Frank, J.; Streit, F. & Adli, M. et al.​ (2022) 
    The British Journal of Psychiatry, 220(4) pp. 219​-228​.​ DOI: https://doi.org/10.1192/bjp.2022.28 
    ​Details  DOI 
  • 2022 | Journal Article | Erratum | 
    ​ ​Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients​
    Schubert, K. O.; Thalamuthu, A.; Amare, A. T.; Frank, J.; Streit, F.; Adl, M. & Akula, N. et al.​ (2022) 
    Translational Psychiatry, 12(1).​ DOI: https://doi.org/10.1038/s41398-022-02037-2 
    ​Details  DOI 
  • 2024 | Journal Article
    ​ ​Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study​
    Ou, A. H.; Rosenthal, S. B.; Adli, M.; Akiyama, K.; Akula, N.; Alda, M. & Amare, A. T. et al.​ (2024) 
    Translational Psychiatry, 14(1).​ DOI: https://doi.org/10.1038/s41398-024-02811-4 
    ​Details  DOI 

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Göttingen All

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