Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder

Bibliographic Details
Title: Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder
Authors: Abraham Nunes, William Stone, Raffaella Ardau, Anne Berghöfer, Alberto Bocchetta, Caterina Chillotti, Valeria Deiana, Franziska Degenhardt, Andreas J. Forstner, Julie S. Garnham, Eva Grof, Tomas Hajek, Mirko Manchia, Manuel Mattheisen, Francis McMahon, Bruno Müller-Oerlinghausen, Markus M. Nöthen, Marco Pinna, Claudia Pisanu, Claire O’Donovan, Marcella D. C. Rietschel, Guy Rouleau, Thomas Schulze, Giovanni Severino, Claire M. Slaney, Alessio Squassina, Aleksandra Suwalska, Gustavo Turecki, Rudolf Uher, Petr Zvolsky, Pablo Cervantes, Maria del Zompo, Paul Grof, Janusz Rybakowski, Leonardo Tondo, Thomas Trappenberg, Martin Alda
Source: Translational Psychiatry, Vol 11, Iss 1, Pp 1-13 (2021)
Publisher Information: Nature Publishing Group, 2021.
Publication Year: 2021
Collection: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
Subject Terms: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
More Details: Abstract Predicting lithium response (LiR) in bipolar disorder (BD) may inform treatment planning, but phenotypic heterogeneity complicates discovery of genomic markers. We hypothesized that patients with “exemplary phenotypes”—those whose clinical features are reliably associated with LiR and non-response (LiNR)—are more genetically separable than those with less exemplary phenotypes. Using clinical data collected from people with BD (n = 1266 across 7 centers; 34.7% responders), we computed a “clinical exemplar score,” which measures the degree to which a subject’s clinical phenotype is reliably predictive of LiR/LiNR. For patients whose genotypes were available (n = 321), we evaluated whether a subgroup of responders/non-responders with the top 25% of clinical exemplar scores (the “best clinical exemplars”) were more accurately classified based on genetic data, compared to a subgroup with the lowest 25% of clinical exemplar scores (the “poor clinical exemplars”). On average, the best clinical exemplars of LiR had a later illness onset, completely episodic clinical course, absence of rapid cycling and psychosis, and few psychiatric comorbidities. The best clinical exemplars of LiR and LiNR were genetically separable with an area under the receiver operating characteristic curve of 0.88 (IQR [0.83, 0.98]), compared to 0.66 [0.61, 0.80] (p = 0.0032) among poor clinical exemplars. Variants in the Alzheimer’s amyloid–secretase pathway, along with G-protein-coupled receptor, muscarinic acetylcholine, and histamine H1R signaling pathways were informative predictors. This study must be replicated on larger samples and extended to predict response to other mood stabilizers.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2158-3188
Relation: https://doaj.org/toc/2158-3188
DOI: 10.1038/s41398-020-01148-y
Access URL: https://doaj.org/article/148507cd1abd48b0b4092cfa43da61f1
Accession Number: edsdoj.148507cd1abd48b0b4092cfa43da61f1
Database: Directory of Open Access Journals
More Details
ISSN:21583188
DOI:10.1038/s41398-020-01148-y
Published in:Translational Psychiatry
Language:English