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Sanchez-Ruiz JA, Coombes BJ, Pazdernik VM, Melhuish Beaupre LM, Jenkins GD, Pendegraft RS, Batzler A, Ozerdem A, McElroy SL, Gardea-Resendez MA, Cuellar-Barboza AB, Prieto ML, Frye MA, Biernacka JM. Clinical and genetic contributions to medical comorbidity in bipolar disorder: a study using electronic health records-linked biobank data. Mol Psychiatry 2024; 29:2701-2713. [PMID: 38548982 DOI: 10.1038/s41380-024-02530-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 02/21/2024] [Accepted: 03/13/2024] [Indexed: 06/14/2024]
Abstract
Bipolar disorder is a chronic and complex polygenic disease with high rates of comorbidity. However, the independent contribution of either diagnosis or genetic risk of bipolar disorder to the medical comorbidity profile of individuals with the disease remains unresolved. Here, we conducted a multi-step phenome-wide association study (PheWAS) of bipolar disorder using phenomes derived from the electronic health records of participants enrolled in the Mayo Clinic Biobank and the Mayo Clinic Bipolar Disorder Biobank. First, we explored the conditions associated with a diagnosis of bipolar disorder by conducting a phenotype-based PheWAS followed by LASSO-penalized regression to account for correlations within the phenome. Then, we explored the conditions associated with bipolar disorder polygenic risk score (BD-PRS) using a PRS-based PheWAS with a sequential exclusion approach to account for the possibility that diagnosis, instead of genetic risk, may drive such associations. 53,386 participants (58.7% women) with a mean age at analysis of 67.8 years (SD = 15.6) were included. A bipolar disorder diagnosis (n = 1479) was associated with higher rates of psychiatric conditions, injuries and poisonings, endocrine/metabolic and neurological conditions, viral hepatitis C, and asthma. BD-PRS was associated with psychiatric comorbidities but, in contrast, had no positive associations with general medical conditions. While our findings warrant confirmation with longitudinal-prospective studies, the limited associations between bipolar disorder genetics and medical conditions suggest that shared environmental effects or environmental consequences of diagnosis may have a greater impact on the general medical comorbidity profile of individuals with bipolar disorder than its genetic risk.
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Affiliation(s)
| | - Brandon J Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Greg D Jenkins
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Anthony Batzler
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Susan L McElroy
- Lindner Center of HOPE/University of Cincinnati, Cincinnati, OH, USA
| | - Manuel A Gardea-Resendez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Alfredo B Cuellar-Barboza
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Miguel L Prieto
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry, Faculty of Medicine, Universidad de Los Andes, Santiago, Chile
- Mental Health Service, Clínica Universidad de los Andes, Santiago, Chile
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Joanna M Biernacka
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
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Nuñez NA, Coombes BJ, Beaupre LM, Ozerdem A, Resendez MG, Romo-Nava F, Bond DJ, Veldic M, Singh B, Moore KM, Betcher HK, Kung S, Prieto ML, Fuentes M, Ercis M, Miola A, Sanchez Ruiz JA, Jenkins G, Batzler A, Leung JG, Cuellar-Barboza A, Tye SJ, McElroy SL, Biernacka JM, Frye MA. Pharmacogenomic overlap between antidepressant treatment response in major depression & antidepressant associated treatment emergent mania in bipolar disorder. Transl Psychiatry 2024; 14:93. [PMID: 38351009 PMCID: PMC10864308 DOI: 10.1038/s41398-024-02798-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 01/08/2024] [Accepted: 01/17/2024] [Indexed: 02/16/2024] Open
Abstract
There is increasing interest in individualizing treatment selection for more than 25 regulatory approved treatments for major depressive disorder (MDD). Despite an inconclusive efficacy evidence base, antidepressants (ADs) are prescribed for the depressive phase of bipolar disorder (BD) with oftentimes, an inadequate treatment response and or clinical concern for mood destabilization. This study explored the relationship between antidepressant response in MDD and antidepressant-associated treatment emergent mania (TEM) in BD. We conducted a genome-wide association study (GWAS) and polygenic score analysis of TEM and tested its association in a subset of BD-type I patients treated with SSRIs or SNRIs. Our results did not identify any genome-wide significant variants although, we found that a higher polygenic score (PGS) for antidepressant response in MDD was associated with higher odds of TEM in BD. Future studies with larger transdiagnostic depressed cohorts treated with antidepressants are encouraged to identify a neurobiological mechanism associated with a spectrum of depression improvement from response to emergent mania.
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Affiliation(s)
- Nicolas A Nuñez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Brandon J Coombes
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Manuel Gardea Resendez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry, Universidad Autónoma de Nuevo León, Monterrey, México
| | | | - David J Bond
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Marin Veldic
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Balwinder Singh
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Katherine M Moore
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Hannah K Betcher
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Simon Kung
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Miguel L Prieto
- Department of Psychiatry, Faculty of Medicine, Universidad de Los Andes, Santiago, Chile
| | - Manuel Fuentes
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Mete Ercis
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Alessandro Miola
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Gregory Jenkins
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Anthony Batzler
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Susannah J Tye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
- Queensland Brain Institute, The University of Queensland, St. Lucia, QLD, Australia
| | - Susan L McElroy
- Lindner Center of HOPE/University of Cincinnati, Cincinnati, OH, USA
| | - Joanna M Biernacka
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
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