VA San Diego Healthcare System

Public institution / office


Location: San Diego, United States (USA) (US) US

ISNI: 0000000404192708

ROR: https://ror.org/00znqwq11

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients With Bipolar Disorder (2025) Sharew NT, Clark SR, Papiol S, Heilbronner U, Degenhardt F, Fullerton JM, Hou L, et al. Journal article Discordance in Creatinine- and Cystatin C-Based eGFR and Clinical Outcomes: A Meta-Analysis (2025) Estrella MM, Ballew SH, Sang Y, Grams ME, Coresh J, Surapaneni A, Alencar De Pinho N, et al. Journal article Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorder (2024) Herrera-Rivero M, Gutiérrez-Fragoso K, Kurtz J, Baune BT, Thalamuthu A, Amare AT, Adli M, et al. Journal article Exploring the genetics of lithium response in bipolar disorders (2024) Herrera-Rivero M, Adli M, Akiyama K, Akula N, Amare AT, Ardau R, Arias B, et al. Journal article Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study (2024) Ou AH, Rosenthal SB, Adli M, Akiyama K, Akula N, Alda M, Amare AT, et al. Journal article Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder (2023) Amare AT, Thalamuthu A, Schubert KO, Fullerton JM, Ahmed M, Hartmann S, Papiol S, et al. Journal article Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients (Translational Psychiatry, (2021), 11, 1, (606), 10.1038/s41398-021-01702-2) (2022) Schubert KO, Thalamuthu A, Amare AT, Frank J, Streit F, Adl M, Akula N, et al. Journal article, Erratum Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach (2022) Cearns M, Amare AT, Schubert KO, Thalamuthu A, Frank J, Streit F, Adli M, et al. Journal article HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders (2021) Le Clerc S, Lombardi L, Baune BT, Amare AT, Schubert KO, Hou L, Clark SR, et al. Journal article Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients (2021) Schubert KO, Thalamuthu A, Amare AT, Frank J, Streit F, Adl M, Akula N, et al. Journal article