Evidence map›Paper›PMID 32948743›Full record

ArticleTranslational psychiatry2020

Dissecting clinical heterogeneity of bipolar disorder using multiple polygenic risk scores.

Brandon J Coombes, Matej Markota, J John Mann, Colin Colby, Eli Stahl, Ardesheer Talati, Jyotishman Pathak, Myrna M Weissman, Susan L McElroy, Mark A Frye and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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

41 citing papers in PubMed, 70 citations in OpenAlex.

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  16. Polygenic risk for schizophrenia and bipolar disorder in relation to cardiovascular biomarkers.European archives of psychiatry and clinical neuroscience · 2024
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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

11 authors at 7 institutions in 1 country.

Brandon J CoombesDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. coombes.brandon@mayo.edu.ORCID http://orcid.org/0000-0003-4322-5923
Matej MarkotaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
J John MannDepartment of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.
Colin ColbyDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Eli StahlPamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-1192-0561
Ardesheer TalatiDepartment of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.
Jyotishman PathakDepartment of Healthcare Policy & Research, Weill Medical College, Cornell University, New York, NY, USA.
Myrna M WeissmanDepartment of Psychiatry, Columbia University Vagelos College of Physicians & Surgeons, New York, NY, USA.
Susan L McElroyLindner Center of HOPE/University of Cincinnati, Cincinnati, OH, USA.
Mark A FryeDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Joanna M BiernackaDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-9350-4440
Mayo Clinic · USNew York Psychoanalytic Society and Institute · USBroad Institute · USCornell University · USLindner Center of HOPE · USMayo Clinic in Arizona · USMayo Clinic in Florida · US

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
1/4 Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disordersR01MH121921 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MANN, JOSEPH JOHN, OLFSON, MARK · 2019 to 2023
$1.3M
NIMH NIH HHS R01 MH121921NIMH NIH HHS R01 MH121924U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) NIMH R0MH121921
6 · The paper itself

Abstract

Bipolar disorder (BD) has high clinical heterogeneity, frequent psychiatric comorbidities, and elevated suicide risk. To determine genetic differences between common clinical sub-phenotypes of BD, we performed a systematic polygenic risk score (PRS) analysis using multiple PRSs from a range of psychiatric, personality, and lifestyle traits to dissect differences in BD sub-phenotypes in two BD cohorts: the Mayo Clinic BD Biobank (N = 968) and Genetic Association Information Network (N = 1001). Participants were assessed for history of psychosis, early-onset BD, rapid cycling (defined as four or more episodes in a year), and suicide attempts using questionnaires and the Structured Clinical Interview for DSM-IV. In a combined sample of 1969 bipolar cases (45.5% male), those with psychosis had higher PRS for SCZ (OR = 1.3 per S.D.; p = 3e-5) but lower PRSs for anhedonia (OR = 0.87; p = 0.003) and BMI (OR = 0.87; p = 0.003). Rapid cycling cases had higher PRS for ADHD (OR = 1.23; p = 7e-5) and MDD (OR = 1.23; p = 4e-5) and lower BD PRS (OR = 0.8; p = 0.004). Cases with a suicide attempt had higher PRS for MDD (OR = 1.26; p = 1e-6) and anhedonia (OR = 1.22; p = 2e-5) as well as lower PRS for educational attainment (OR = 0.87; p = 0.003). The observed novel PRS associations with sub-phenotypes align with clinical observations such as rapid cycling BD patients having a greater lifetime prevalence of ADHD. Our findings confirm that genetic heterogeneity contributes to clinical heterogeneity of BD and consideration of genetic contribution to psychopathologic components of psychiatric disorders may improve genetic prediction of complex psychiatric disorders.

Indexed as

Bipolar DisorderPsychotic DisordersFemaleHumansMaleMultifactorial InheritanceRisk FactorsSuicide, Attempted

Identifiers

PMID32948743
PMCPMC7501305
OpenAlexW3087292010

What OpenQuestion holds

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Registered trials

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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.