Clinical and genetic contributions to medical comorbidity in bipolar disorder: a study using electronic health records-linked biobank data.


Journal

Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835

Informations de publication

Date de publication:
28 Mar 2024
Historique:
received: 12 07 2023
accepted: 13 03 2024
revised: 21 02 2024
medline: 29 3 2024
pubmed: 29 3 2024
entrez: 29 3 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 38548982
doi: 10.1038/s41380-024-02530-8
pii: 10.1038/s41380-024-02530-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH121924

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Nature Limited.

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Auteurs

Jorge A Sanchez-Ruiz (JA)

Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.

Brandon J Coombes (BJ)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Vanessa M Pazdernik (VM)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Lindsay M Melhuish Beaupre (LM)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Greg D Jenkins (GD)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Richard S Pendegraft (RS)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Anthony Batzler (A)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Aysegul Ozerdem (A)

Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.

Susan L McElroy (SL)

Lindner Center of HOPE/University of Cincinnati, Cincinnati, OH, USA.

Manuel A Gardea-Resendez (MA)

Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
Department of Psychiatry, Universidad Autónoma de Nuevo León, Monterrey, Mexico.

Alfredo B Cuellar-Barboza (AB)

Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
Department of Psychiatry, Universidad Autónoma de Nuevo León, Monterrey, Mexico.

Miguel L Prieto (ML)

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 (MA)

Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.

Joanna M Biernacka (JM)

Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA. Biernacka.Joanna@mayo.edu.
Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. Biernacka.Joanna@mayo.edu.

Classifications MeSH