{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Amare AT"],"funding":["BLRD VA","Intramural NIH HHS","NIDA NIH HHS","NIMH NIH HHS","Department of Health | National Health and Medical Research Council (NHMRC)"],"pagination":["5251-5261"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11041653"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["28(12)"],"pubmed_abstract":["Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental health disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li<sup>+</sup><sub>PGS</sub>) in patients with BD. To gain further insights into lithium's possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors"],"journal":["Molecular psychiatry"],"pubmed_title":["Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder."],"pmcid":["PMC11041653"],"funding_grant_id":["R01 MH059548","R01 MH059556","R01 MH059534","R01 MH059567","R01 MH059535","R01 MH059533","R01 MH060068","R01 MH059553","K02 DA021237","Emerging Leadership Investigator Grant 2021 - 2008000","ZIA MH002831","Z01 MH002810","I01 BX003431"],"pubmed_authors":["Trost S","McCarthy MJ","Ozaki N","Cichon S","Baune BT","Yildiz C","Garnham JS","Zimmermann J","Ferensztajn-Rochowiak E","Ahmed M","Mitjans M","Nievergelt CM","Vieta E","Kahn JP","Bauer M","Wright A","Akiyama K","Chen HC","Tekola-Ayele F","Jamain S","Zandi PP","Gryaznova A","Squassina A","Schmauß M","Kelsoe J","Leboyer M","Hsu YH","Cervantes P","Kusumi I","Veeh J","Chillotti C","Simhandl C","Ritter P","Backlund L","Papiol S","Mitchell PB","Dietrich D","Novak T","Hauser J","Fischer A","Colom F","O'Donovan C","Konig B","Turecki G","Hoffmann P","Stopkova P","Konrad C","Lang FU","Hasler R","Rybakowski JK","Alda M","Vogl T","Kittel-Schneider S","Witt SH","Pisanu C","von Hagen M","DePaulo JR","Manchia M","Kuo PH","Bengesser S","McElroy S","Hashimoto R","Slaney CM","Spitzer C","Landen M","Fullerton JM","Herms S","Bellivier F","Frisen L","Jager M","Leckband SG","Adorjan K","Gard S","Perroud N","Grof P","Czerski PM","Schulze TG","Schofield PR","Schweizer BW","Dannlowski U","Reif A","Goes FS","Thalamuthu A","Reininghaus E","Lambert M","Shekhtman T","Ethofer T","Rietschel M","Maj M","Monteleone P","Nothen MM","Kohshour MO","Senner F","Budde M","Schmidt J","Laje G","Koch M","Shilling PD","Schalling M","Rouleau GA","Figge C","Biernacka JM","Grigoroiu-Serbanescu M","Reimer J","Del Zompo M","Clark SR","Schulte EC","Wiltfang J","Pfennig A","Bermpohl F","Arolt V","Adli M","Birner A","Severino G","Ardau R","Stegmaier S","Schubert KO","Heilbronner U","Kraft V","Heilbronner M","Mondimore FM","Anghelescu IG","Biere S","Gade K","Marie-Claire C","Schaupp SK","Reich-Erkelenz D","Forstner AJ","Andlauer TFM","Matura S","Dalkner N","Falkai P","Millischer V","Fallgatter AJ","Hartmann S","Degenhardt F","Benabarre A","Martinsson L","Kassem L","Akula N","Lavebratt C","Bhattacharjee AK","Amare AT","Schuster C","Frye MA","Cruceanu C","Tortorella A","McMahon FJ","Kato T","Hou L","Aubry JM","Falkenberg I","Etain B","Rohenkohl AC","Juckel G","Jimenez E","Petrova K","Potash JB","Stamm T","Kalman JL","Haussleiter IS","Richard-Lepouriel H","Kircher T","Shimoda K","Arias B","Schmitt A"],"additional_accession":[]},"is_claimable":false,"name":"Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder.","description":"Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental health disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li<sup>+</sup><sub>PGS</sub>) in patients with BD. To gain further insights into lithium's possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Dec","modification":"2026-07-15T08:19:01.711Z","creation":"2026-07-01T03:12:28.494Z"},"accession":"S-EPMC11041653","cross_references":{"pubmed":["37433967"],"doi":["10.1038/s41380-023-02149-1"]}}