학술논문

Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder.
Document Type
article
Author
Amare, AzmerawThalamuthu, AnbupalamSchubert, KlausFullerton, JaniceAhmed, MuktarHartmann, SimonPapiol, SergiHeilbronner, UrsDegenhardt, FranziskaTekola-Ayele, FasilHou, LipingHsu, Yi-HsiangShekhtman, TatyanaAdli, MazdaAkula, NirmalaAkiyama, KazufumiArdau, RaffaellaArias, BárbaraAubry, Jean-MichelHasler, RolandRichard-Lepouriel, HélènePerroud, NaderBacklund, LenaBhattacharjee, AbeshBellivier, FrankBenabarre, AntonioBengesser, SusanneBiernacka, JoannaBirner, ArminMarie-Claire, CynthiaCervantes, PabloChen, Hsi-ChungChillotti, CaterinaCichon, SvenCruceanu, CristianaCzerski, PiotrDalkner, NinaDel Zompo, MariaDePaulo, JÉtain, BrunoJamain, StephaneFalkai, PeterForstner, AndreasFrisen, LouiseFrye, MarkGard, SébastienGarnham, JulieGoes, FernandoGrigoroiu-Serbanescu, MariaFallgatter, AndreasStegmaier, SophiaEthofer, ThomasBiere, SilviaPetrova, KristiyanaSchuster, CeylanAdorjan, KristinaBudde, MonikaHeilbronner, MariaKalman, JanosKohshour, MojtabaReich-Erkelenz, DanielaSchaupp, SabrinaSchulte, EvaSenner, FannyVogl, ThomasAnghelescu, Ion-GeorgeArolt, VolkerDannlowski, UdoDietrich, DetlefFigge, ChristianJäger, MarkusLang, FabianJuckel, GeorgKonrad, CarstenReimer, JensSchmauß, MaxSchmitt, AndreaSpitzer, Carstenvon Hagen, MartinWiltfang, JensZimmermann, JörgAndlauer, TillFischer, AndreBermpohl, FelixRitter, PhilippMatura, SilkeGryaznova, AnnaFalkenberg, IrinaYildiz, CüneytKircher, TiloSchmidt, JuliaKoch, MariusGade, KathrinTrost, SarahHaussleiter, IdaLambert, MartinRohenkohl, AnjaKraft, VivienGrof, PaulHashimoto, Ryota
Source
Molecular Psychiatry. 28(12)
Subject
Bipolar Disorder
Humans
Female
Male
Multifactorial Inheritance
Adult
Middle Aged
Lithium
Treatment Outcome
Bayes Theorem
Genome-Wide Association Study
Glutamic Acid
Cohort Studies
Lithium Compounds
Acetylcholine
Polymorphism
Single Nucleotide
Antimanic Agents
Language
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+PGS) in patients with BD. To gain further insights into lithiums 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, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N = 2367) and replicated in the combined PsyCourse (N = 89) and BipoLife (N = 102) studies. The associations of Li+PGS and lithium treatment response - defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P