Evidence map›Paper›PMID 39072040›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Examining the Genetic Links between Clusters of Immune-mediated Diseases and Psychiatric Disorders.

Sophie Breunig, Younga Heather Lee, Elizabeth W Karlson, Arjun Krishnan, Jeremy M Lawrence, Lukas S Schaffer, Andrew D Grotzinger

Abstract 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
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0citing papers in PubMed
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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

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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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Sophie BreunigInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.ORCID 0000-0001-6594-0587
Younga Heather LeePsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA USA.ORCID 0000-0001-7517-6594
Elizabeth W KarlsonDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA USA.
Arjun KrishnanDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO USA.
Jeremy M LawrenceInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.
Lukas S SchafferInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.
Andrew D GrotzingerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.

Funding

Dissecting the Multivariate Genetic Architecture of Psychiatric DiseasesR01MH120219 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI NIVARD, MICHEL GUILLAUME, TUCKER-DROB, ELLIOT MAX · 2020 to 2024
$3.3M
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetRF1AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2021 to 2021
$2.1M
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetR01AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2024 to 2025
$1.3M
NIA NIH HHS R01 AG073593NIA NIH HHS RF1 AG073593NIMH NIH HHS R01 MH120219
6 · The paper itself

Abstract

Importance: Autoimmune and autoinflammatory diseases have been linked to psychiatric disorders in the phenotypic and genetic literature. However, a comprehensive model that investigates the association between a broad range of psychiatric disorders and immune-mediated disease in a multivariate framework is lacking. Objective: This study aims to establish a factor structure based on the genetic correlations of immune-mediated diseases and investigate their genetic relationships with clusters of psychiatric disorders. Design Setting and Participants: We utilized Genomic Structural Equation Modeling (Genomic SEM) to establish a factor structure of 11 immune-mediated diseases. Genetic correlations between these immune factors were examined with five established factors across 13 psychiatric disorders representing compulsive, schizophrenia/bipolar, neurodevelopmental, internalizing, and substance use disorders. We included GWAS summary statistics of individuals of European ancestry with sample sizes from 1,223 cases for Addison's disease to 170,756 cases for major depressive disorder. Main Outcomes and Measures: Genetic correlations between psychiatric and immune-mediated disease factors and traits to determine genetic overlap. We develop and validate a new heterogeneity metric, Results: A four-factor model of immune-mediated diseases fit the data well and described a continuum from autoimmune to autoinflammatory diseases. The four factors reflected autoimmune, celiac, mixed pattern, and autoinflammatory diseases. Analyses revealed seven significant factor correlations between the immune and psychiatric factors, including autoimmune and mixed pattern diseases with the internalizing and substance use factors, and autoinflammatory diseases with the compulsive, schizophrenia/bipolar, and internalizing factors. Additionally, we find evidence of divergence in associations within factors as indicated by Conclusion and Relevance: Our results revealed genetic links between clusters of immune-mediated diseases and psychiatric disorders. Current analyses indicate that previously described relationships between specific psychiatric disorders and immune-mediated diseases often capture broader pathways of risk sharing indexed by our genomic factors, yet are more specific than a general association across all psychiatric disorders and immune-mediated diseases.

Indexed as

Genomic SEMImmune-mediated diseaseMultivariate GenomicsPsychiatric Genetics

Identifiers

PMID39072040
PMCPMC11275673

What Socratic 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 Socratic graph.