Evidence map›Paper›PMID 38548982›Full record

ArticleMolecular psychiatry2024

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

Jorge A Sanchez-Ruiz, Brandon J Coombes, Vanessa M Pazdernik, Lindsay M Melhuish Beaupre, Greg D Jenkins, Richard S Pendegraft, Anthony Batzler, Aysegul Ozerdem, Susan L McElroy, Manuel A Gardea-Resendez and 4 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jorge A Sanchez-RuizDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-4282-7359
Brandon J CoombesDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-4322-5923
Vanessa M PazdernikDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-7566-7334
Lindsay M Melhuish BeaupreDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Greg D JenkinsDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-6408-6227
Richard S PendegraftDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Anthony BatzlerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Aysegul OzerdemDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-9455-5896
Susan L McElroyLindner Center of HOPE/University of Cincinnati, Cincinnati, OH, USA.
Manuel A Gardea-ResendezDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
Alfredo B Cuellar-BarbozaDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
Miguel L PrietoDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
Mark A FryeDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-6997-4215
Joanna M BiernackaDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA. Biernacka.Joanna@mayo.edu.ORCID 0000-0001-9350-4440

Funding

2/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disordersR01MH121924 · NIMH · MAYO CLINIC ROCHESTER · PI BIERNACKA, JOANNA M · 2019 to 2024
$2.0M
NIMH NIH HHS R01 MH121924U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH121924
6 · The paper itself

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.

Indexed as

Biological Specimen BanksBipolar DisorderComorbidityElectronic Health RecordsMultifactorial InheritancePhenotypeAdultAgedAged, 80 and overFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedPhenomics

Identifiers

PMID38548982
PMCPMC11544602

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.