Identifying genetic differences between bipolar disorder and major depression through multiple genome-wide association analyses
BackgroundAccurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive dis...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
14 January 2025
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| In: |
The British journal of psychiatry
Year: 2025, Volume: 226, Issue: 2, Pages: 79-90 |
| ISSN: | 1472-1465 |
| DOI: | 10.1192/bjp.2024.125 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1192/bjp.2024.125 Verlag, kostenfrei, Volltext: http://www.cambridge.org/core/journals/the-british-journal-of-psychiatry/article/identifying-genetic-differences-between-bipolar-disorder-and-major-depression-through-multiple-genomewide-association-analyses/E0721D4F3C40A8D7F061B7F50399F7DE |
| Author Notes: | Georgia Panagiotaropoulou, Kajsa-Lotta Georgii Hellberg, Jonathan R. I. Coleman, Darsol Seok, Janos Kalman, the Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, the iPSYCH Study Consortium, Philip B. Mitchell, Peter R. Schofield, Andreas J. Forstner, Michael Bauer, Laura J. Scott, Carlos N. Pato, Michele T. Pato, Qingqin S. Li, George Kirov, Mikael Landén, Lina Jonsson, Bertram Müller-Myhsok, Jordan W. Smoller, Elisabeth B. Binder, Tanja M. Brückl, Darina Czamara, Sandra Van der Auwera, Hans J. Grabe, Georg Homuth, Carsten O. Schmidt, James B. Potash, J. Raymond DePaulo, Fernando S. Goes, Dean F. MacKinnon, Francis M. Mondimore, Myrna M. Weissman, Jianxin Shi, Mark A. Frye, Joanna M. Biernacka, Andreas Reif, Stephanie H. Witt, René R. Kahn, Marco M. Boks, Michael J. Owen, Katherine Gordon-Smith, Brittany L. Mitchell, Nicholas G. Martin, Sarah E. Medland, Lisa Jones, James A. Knowles, Douglas F. Levinson, Michael C. O'Donovan, Cathryn M. Lewis, Gerome Breen, Thomas Werge, Andrew J. Schork, Roel A. Ophoff, Stephan Ripke and Loes Olde Loohuis |
| Summary: | BackgroundAccurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).AimsWe use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.MethodBased on individual genotypes from case-control cohorts of BPD and MDD shared through the Psychiatric Genomics Consortium, we compile case-case-control cohorts, applying a careful quality control procedure. In a resulting cohort of 51 149 individuals (15 532 BPD patients, 12 920 MDD patients and 22 697 controls), we perform a variety of GWAS and PRS analyses.ResultsAlthough our GWAS is not well powered to identify genome-wide significant loci, we find significant chip heritability and demonstrate the ability of the resulting PRS to distinguish BPD from MDD, including BPD cases with depressive onset (BPD-D). We replicate our PRS findings in an independent Danish cohort (iPSYCH 2015, N = 25 966). We observe strong genetic correlation between our case-case GWAS and that of case-control BPD.ConclusionsWe find that MDD and BPD, including BPD-D are genetically distinct. Our findings support that controls, MDD and BPD patients primarily lie on a continuum of genetic risk. Future studies with larger and richer samples will likely yield a better understanding of these findings and enable the development of better genetic predictors distinguishing BPD and, importantly, BPD-D from MDD. |
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| Item Description: | Gesehen am 05.08.2025 |
| Physical Description: | Online Resource |
| ISSN: | 1472-1465 |
| DOI: | 10.1192/bjp.2024.125 |