von Sascha Meyer ; Johannes Bay ; Axel R. Franz ; Harald Ehrhardt ; Lars Klein ; Jutta Petzinger ; Christopher Binder ; Susanne Kirschenhofer ; Anja Stein ; Britta-Maria Hüning ; Axel Heep ; Eva Cloppenburg ; Julia Muyimbwa ; Torsten Ott ; Julia Sandkötter ; Norbert Teig ; Susanne Wiegand ; Michael Andreas Schroth ; Andrea Kick ; Donald Wurm ; Corinna Mirjam Gebauer ; Knud Linnemann ; Jochen Kittel ; Christian Wieg ; Ursula Kiechl-Kohlendorfer ; Susanne Schmidt ; Ralf Böttger ; Wolfgang Thomas ; Francisco Hernan Brevis Nuñez ; Antje Stockmann ; Thomas A. Kriebel ; Andreas Müller ; Daniel Klotz ; Patrick Daniel Morhart ; Donatus Nohr ; Hans-Konrad Biesalski ; Eleni Z. Giannopoulou ; Susanne Hilt ; Martin Poryo ; Stefan Wagenpfeil ; Nadja Haiden ; Christian Rainer Ruckes ; Anne Ehrlich ; Ludwig Gortner
von Friederike A. Arlt ; Pia S. Sperber ; Regina von Rennenberg ; Pimrapat Gebert ; Bianca Teegen ; Marios K. Georgakis ; Rong Fang ; Anna Dewenter ; Michael Görtler ; Gabor Petzold ; Silke Wunderlich ; Inga Zerr ; Martin Dichgans ; Harald Prüß ; Matthias Endres
Thomas Liman; Christian H Nolte; Lucia Kerti; Tatjana Wittenberg; Jan Friedrich Scheitz; Alexander Heinrich Nave; Anna Kufner; Felix J Bode; Sebastian Stösser; Julius Nicolai Meißner; Taraneh Ebrahimi; Julia Nordsiek; Niklas Michael Beckonert; Peter Hermann; Matthias Schmitz; Stefan Goebel; Julia Schütte-Schmidt; Sabine Nuhn; Corinna Volpers; Peter Dechent; Matthias Bähr; Wenzel Glanz; Steffen Tiedt; Karin Waegemann; Daniel Janowitz; Benno Ikenberg; Kathleen Bermkopf; Christiane Huber; Michael Wagner; Katja Neumann; Annika Spottke; Tony Stöcker; Marco Dühring; Oliver Speck; Emrah Düzel; Peter Bartenstein
von Dirk S. van Maren ; Christian Maushake ; Jan Willem Moll ; Daan van Keulen ; Jens Jürges ; Julia Vroom ; Henk Schuttelaars ; Theo Gerkema ; Kirstin Schulz ; Thomas H. Badewien ; Michaela Gerriets ; Andreas Engels ; Andreas Wurpts ; Dennis Oberrecht ; Andrew J. Manning ; Taylor Bailey ; Lauren Ross ; Volker Mohrholz ; Dante M. L. Horemans ; Marius Becker ; Dirk Post ; Charlotte Schmidt ; Petra J. T. Dankers
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 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, 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 < 0.05. Li+PGS was positively associated with lithium treatment response in the ConLi+Gen cohort, in both the categorical (P = 9.8 × 10−12, R2 = 1.9%) and continuous (P = 6.4 × 10−9, R2 = 2.6%) outcomes. Compared to bipolar patients in the 1st decile of the risk distribution, individuals in the 10th decile had 3.47-fold (95%CI: 2.22-5.47) higher odds of responding favorably to lithium. The results were replicated in the independent cohorts for the categorical treatment outcome (P = 3.9 × 10−4, R2 = 0.9%), but not for the continuous outcome (P = 0.13). Gene-based analyses revealed 36 candidate genes that are enriched in biological pathways controlled by glutamate and acetylcholine. Li+PGS may be useful in the development of pharmacogenomic testing strategies by enabling a classification of bipolar patients according to their response to treatment.
