Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach

Cearns, MicahMicahCearnsAmare, Azmeraw TAzmeraw TAmareSchubert, Klaus OliverKlaus OliverSchubertThalamuthu, AnbupalamAnbupalamThalamuthuFrank, JosephJosephFrankStreit, FabianFabianStreitAdli, MazdaMazdaAdliAkula, NirmalaNirmalaAkulaAkiyama, KazufumiKazufumiAkiyamaArdau, RaffaellaRaffaellaArdauArias, BárbaraBárbaraAriasAubry, Jean-MichelJean-MichelAubryBacklund, LenaLenaBacklundBhattacharjee, Abesh KumarAbesh KumarBhattacharjeeBellivier, FrankFrankBellivierBenabarre, AntonioAntonioBenabarreBengesser, SusanneSusanneBengesserBiernacka, Joanna MJoanna MBiernackaBirner, ArminArminBirnerBrichant-Petitjean, ClaraClaraBrichant-PetitjeanCervantes, PabloPabloCervantesHSI-CHUNG CHENChillotti, CaterinaCaterinaChillottiCichon, SvenSvenCichonCruceanu, CristianaCristianaCruceanuCzerski, Piotr MPiotr MCzerskiDalkner, NinaNinaDalknerDayer, AlexandreAlexandreDayerDegenhardt, FranziskaFranziskaDegenhardtZompo, Maria DelMaria DelZompoDePaulo, J RaymondJ RaymondDePauloÉtain, BrunoBrunoÉtainFalkai, PeterPeterFalkaiForstner, Andreas JAndreas JForstnerFrisen, LouiseLouiseFrisenFrye, Mark AMark AFryeFullerton, Janice MJanice MFullertonGard, SébastienSébastienGardGarnham, Julie SJulie SGarnhamGoes, Fernando SFernando SGoesGrigoroiu-Serbanescu, MariaMariaGrigoroiu-SerbanescuGrof, PaulPaulGrofHashimoto, RyotaRyotaHashimotoHauser, JoannaJoannaHauserHeilbronner, UrsUrsHeilbronnerHerms, StefanStefanHermsHoffmann, PerPerHoffmannHofmann, AndreaAndreaHofmannHou, LipingLipingHouHsu, Yi-HsiangYi-HsiangHsuJamain, StephaneStephaneJamainJiménez, EstherEstherJiménezKahn, Jean-PierreJean-PierreKahnKassem, LaylaLaylaKassemPO-HSIU KUOKato, TadafumiTadafumiKatoKelsoe, JohnJohnKelsoeKittel-Schneider, SarahSarahKittel-SchneiderKliwicki, SebastianSebastianKliwickiKönig, BarbaraBarbaraKönigKusumi, IchiroIchiroKusumiLaje, GonzaloGonzaloLajeLandén, MikaelMikaelLandénLavebratt, CatharinaCatharinaLavebrattLeboyer, MarionMarionLeboyerLeckband, Susan GSusan GLeckbandMaj, MarioMarioMajManchia, MirkoMirkoManchiaMartinsson, LinaLinaMartinssonMcCarthy, Michael JMichael JMcCarthyMcElroy, SusanSusanMcElroyColom, FrancescFrancescColomMitjans, MarinaMarinaMitjansMondimore, Francis MFrancis MMondimoreMonteleone, PalmieroPalmieroMonteleoneNievergelt, Caroline MCaroline MNievergeltNöthen, Markus MMarkus MNöthenNovák, TomasTomasNovákO'Donovan, ClaireClaireO'DonovanOzaki, NorioNorioOzakiMillischer, VincentVincentMillischerPapiol, SergiSergiPapiolPfennig, AndreaAndreaPfennigPisanu, ClaudiaClaudiaPisanuPotash, James BJames BPotashReif, AndreasAndreasReifReininghaus, EvaEvaReininghausRouleau, Guy AGuy ARouleauRybakowski, Janusz KJanusz KRybakowskiSchalling, MartinMartinSchallingSchofield, Peter RPeter RSchofieldSchweizer, Barbara WBarbara WSchweizerSeverino, GiovanniGiovanniSeverinoShekhtman, TatyanaTatyanaShekhtmanShilling, Paul DPaul DShillingShimoda, KatzutakaKatzutakaShimodaSimhandl, ChristianChristianSimhandlSlaney, Claire MClaire MSlaneySquassina, AlessioAlessioSquassinaStamm, ThomasThomasStammStopkova, PavlaPavlaStopkovaTekola-Ayele, FasilFasilTekola-AyeleTortorella, AlfonsoAlfonsoTortorellaTurecki, GustavoGustavoTureckiVeeh, JuliaJuliaVeehVieta, EduardEduardVietaWitt, Stephanie HStephanie HWittRoberts, GloriaGloriaRobertsZandi, Peter PPeter PZandiAlda, MartinMartinAldaBauer, MichaelMichaelBauerMcMahon, Francis JFrancis JMcMahonMitchell, Philip BPhilip BMitchellSchulze, Thomas GThomas GSchulzeRietschel, MarcellaMarcellaRietschelClark, Scott RScott RClarkBaune, Bernhard TBernhard TBaune2022-12-292022-12-292022-02-280007-1250https://scholars.lib.ntu.edu.tw/handle/123456789/626807Response to lithium in patients with bipolar disorder is associated with clinical and transdiagnostic genetic factors. The predictive combination of these variables might help clinicians better predict which patients will respond to lithium treatment.enMood stabilisers; bipolar affective disorders; depressive disorders; genetics; outcome studiesUsing polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approachjournal article10.1192/bjp.2022.28352257562-s2.0-85126276148WOS:000762249500001https://api.elsevier.com/content/abstract/scopus_id/85126276148