Evidence map›Paper›PMID 37425936›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Strong Genetic Overlaps Between Dimensional and Categorical Models of Bipolar Disorders in a Family Sample.

Alejandro Arbona-Lampaya, Heejong Sung, Alexander D'Amico, Emma E M Knowles, Emily K Besançon, Ally Freifeld, Ley Lacbawan, Fabiana Lopes, Layla Kassem, Antonio E Nardi and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 3 countries.

Alejandro Arbona-LampayaIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0009-0000-2335-685X
Heejong SungIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Alexander D'AmicoIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Emma E M KnowlesDepartment of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Emily K BesançonIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Ally FreifeldIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Ley LacbawanIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Fabiana LopesIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Layla KassemIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Antonio E NardiFederal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Francis J McMahonIntramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
National Institutes of Health · USBoston Children's Hospital · USUniversidade Federal do Rio de Janeiro · BR

Funding

Identification of Genes Involved in Major Mood DisordersZIAMH002843 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$24.5M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Towards Multisystem-Brain Successful Aging in Schizophrenia SpectrumR01MH116948 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HONG, L ELLIOT ELLIOT · 2018 to 2022
$3.7M
Lifespan Vascular Biology on White MatterRF1NS114628 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT, KOCHUNOV, PETER V. · 2020 to 2020
$3.1M
The Vascular Axis in Schizophrenia Brain-Body AgingR01MH133812 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI L Elliot Elliot Hong · 2024 to 2026
$2.2M
Redefine Trans-Neuropsychiatric Disorder Brain Patterns through Big-Data and Machine LearningRF1MH123163 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI KOCHUNOV, PETER V., THOMPSON, PAUL M · 2021 to 2021
$1.2M
Genetic Linkage and Association in Bipolar DisorderZ01MH002843 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2004 to 2008
$1.1M
Lifespan Vascular Biology on White MatterR01NS114628 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT, KOCHUNOV, PETER V. · 2024 to 2024
$770k
Hybrid GPU/CPU Computing Resource to Support Connectomic and GenomicsS10OD023696 · OD · UNIVERSITY OF MARYLAND BALTIMORE · PI KOCHUNOV, PETER V. · 2018 to 2018
$593k
Intramural NIH HHS Z01 MH002843Intramural NIH HHS ZIA MH002843NIBIB NIH HHS R01 EB015611NIH HHS S10 OD023696NIMH NIH HHS R01 MH116948NIMH NIH HHS R01 MH133812NIMH NIH HHS RF1 MH123163NINDS NIH HHS R01 NS114628NINDS NIH HHS RF1 NS114628
6 · The paper itself

Abstract

Background: Bipolar disorder (BD) presents with a wide range of symptoms that vary among relatives, casting doubt on categorical illness models. To address this uncertainly, we investigated the heritability and genetic relationships between categorical and dimensional models of BD in a family sample. Methods: Participants in the Amish-Mennonite Bipolar Genetics (AMBiGen) study were assigned categorical mood disorder diagnoses by structured psychiatric interview and completed the Mood Disorder Questionnaire (MDQ), which assesses lifetime history of manic symptoms and associated impairment. Major MDQ dimensions were analyzed by Principal Component Analysis (PCA) in 726 participants. Heritability and genetic overlaps between categorical diagnoses and MDQ-derived dimensions were estimated with SOLAR-ECLIPSE within 432 genotyped participants. Results: MDQ scores were significantly higher among individuals diagnosed with BD and related disorders, as expected, but varied widely among relatives. PCA suggested a three-component model for the MDQ. Heritability of the MDQ score was 30% (p<0.001), evenly distributed across its three principal components. Strong and significant genetic correlations were found between categorical diagnoses and most MDQ measures. Limitations: Recruitment through probands with BD resulted in increased prevalence of BD in this sample, limiting generalizability. Unavailable genetic data reduced sample size for some analyses. Conclusion: heritability and high genetic correlations between categorical diagnoses and MDQ measures support a genetic continuity between dimensional and categorical models of BD.

Indexed as

Bipolar DisorderFactor StructureGenetic CorrelationHeritabilityMood Disorder QuestionnaireMood DisordersPrincipal Component Analysis

Identifiers

PMID37425936
PMCPMC10327232
OpenAlexW4382197583

What Socratic holds

Textmetadata
LicenceCC0
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Registered trials

None linked

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 Socratic graph.