Austin Health

Title
Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients.
Publication Date
2021
Author(s)
Schubert, Klaus Oliver
Thalamuthu, Anbupalam
Amare, Azmeraw T
Frank, Joseph
Streit, Fabian
Adl, Mazda
Akula, Nirmala
Akiyama, Kazufumi
Ardau, Raffaella
Arias, Bárbara
Aubry, Jean-Michel
Heilbronner, Urs
Kahn, Jean-Pierre
Herms, Stefan
Hoffmann, Per
Hou, Liping
Hsu, Yi-Hsiang
Jamain, Stephane
Jiménez, Esther
Kassem, Layla
Kuo, Po-Hsiu
Laje, Gonzalo
Kato, Tadafumi
Kelsoe, John
Kittel-Schneider, Sarah
Ferensztajn-Rochowiak, Ewa
König, Barbara
Kusumi, Ichiro
Martinsson, Lina
Landén, Mikael
Lavebratt, Catharina
Leboyer, Marion
Leckband, Susan G
Maj, Mario
Manchia, Mirko
McCarthy, Michael J
McElroy, Susan
Novák, Tomas
Colom, Francesc
Mitjans, Marina
Mondimore, Francis M
Monteleone, Palmiero
Nievergelt, Caroline M
Nöthen, Markus M
Potash, James B
O'Donovan, Claire
Ozaki, Norio
Ösby, Urban
Papiol, Sergi
Pfennig, Andrea
Pisanu, Claudia
Reif, Andreas
Reininghaus, Eva
Shekhtman, Tatyana
Rouleau, Guy A
Rybakowski, Janusz K
Schalling, Martin
Schofield, Peter R
Schweizer, Barbara W
Severino, Giovanni
Stopkova, Pavla
Shilling, Paul D
Shimoda, Katzutaka
Simhandl, Christian
Slaney, Claire M
Squassina, Alessio
Stamm, Thomas
Tekola-Ayele, Fasil
Tortorella, Alfonso
Alda, Martin
Turecki, Gustavo
Veeh, Julia
Vieta, Eduard
Witt, Stephanie H
Roberts, Gloria
Zandi, Peter P
Backlund, Lena
Bauer, Michael
McMahon, Francis J
Mitchell, Philip B
Schulze, Thomas G
Rietschel, Marcella
Baune, Bernhard T
Bhattacharjee, Abesh Kumar
Bellivier, Frank
Cervantes, Pablo
Benabarre, Antonio
Bengesser, Susanne
Biernacka, Joanna M
Birner, Armin
Marie-Claire, Cynthia
Cearns, Micah
Chen, Hsi-Chung
Chillotti, Caterina
Cichon, Sven
Clark, Scott R
Cruceanu, Cristiana
Czerski, Piotr M
Dalkner, Nina
Dayer, Alexandre
Degenhardt, Franziska
Frye, Mark A
Del Zompo, Maria
DePaulo, J Raymond
Étain, Bruno
Falkai, Peter
Forstner, Andreas J
Frisen, Louise
Fullerton, Janice M
Gard, Sébastien
Garnham, Julie S
Goes, Fernando S
Grigoroiu-Serbanescu, Maria
Grof, Paul
Hashimoto, Ryota
Hauser, Joanna
Type of document
Journal Article
OrcId
0000-0002-7940-0335
0000-0003-4867-9465
0000-0003-1080-4339
0000-0001-9350-4440
0000-0003-1640-5611
0000-0002-7799-5531
0000-0003-0745-5916
0000-0001-9491-5938
0000-0002-1876-6368
0000-0001-6997-4215
0000-0003-4014-4490
0000-0002-7987-4995
0000-0002-1304-6687
0000-0002-6621-3493
0000-0001-7135-762X
0000-0002-2786-8200
0000-0003-3972-245X
0000-0002-4321-4100
0000-0002-3013-2333
0000-0002-8747-5070
0000-0002-4496-6451
0000-0003-4987-2718
0000-0001-5473-3697
0000-0001-5766-8923
0000-0002-8770-2464
0000-0002-7360-4898
0000-0001-9366-8728
0000-0002-9151-4319
0000-0002-0992-634X
0000-0001-8403-1418
0000-0003-2967-9662
0000-0002-6354-2662
0000-0002-0129-5504
0000-0002-9663-6243
0000-0001-7415-7607
0000-0002-1571-1468
0000-0001-9544-3944
0000-0002-2666-859X
0000-0002-9469-305X
0000-0002-7954-5235
0000-0001-6624-2975
DOI
10.1038/s41398-021-01702-2
Abstract
Lithium is the gold standard therapy for Bipolar Disorder (BD) but its effectiveness differs widely between individuals. The molecular mechanisms underlying treatment response heterogeneity are not well understood, and personalized treatment in BD remains elusive. Genetic analyses of the lithium treatment response phenotype may generate novel molecular insights into lithium's therapeutic mechanisms and lead to testable hypotheses to improve BD management and outcomes. We used fixed effect meta-analysis techniques to develop meta-analytic polygenic risk scores (MET-PRS) from combinations of highly correlated psychiatric traits, namely schizophrenia (SCZ), major depression (MD) and bipolar disorder (BD). We compared the effects of cross-disorder MET-PRS and single genetic trait PRS on lithium response. For the PRS analyses, we included clinical data on lithium treatment response and genetic information for n = 2283 BD cases from the International Consortium on Lithium Genetics (ConLi+Gen; www.ConLiGen.org ). Higher SCZ and MD PRSs were associated with poorer lithium treatment response whereas BD-PRS had no association with treatment outcome. The combined MET2-PRS comprising of SCZ and MD variants (MET2-PRS) and a model using SCZ and MD-PRS sequentially improved response prediction, compared to single-disorder PRS or to a combined score using all three traits (MET3-PRS). Patients in the highest decile for MET2-PRS loading had 2.5 times higher odds of being classified as poor responders than patients with the lowest decile MET2-PRS scores. An exploratory functional pathway analysis of top MET2-PRS variants was conducted. Findings may inform the development of future testing strategies for personalized lithium prescribing in BD.
Link
Citation
Translational Psychiatry 2021; 11(1): 606
Jornal Title
Translational psychiatry

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