Evidence map›Paper›PMID 39168988›Full record

ArticleNature communications2024

Unique genetic and risk-factor profiles in clusters of major depressive disorder-related multimorbidity trajectories.

Andras Gezsi, Sandra Van der Auwera, Hannu Mäkinen, Nora Eszlari, Gabor Hullam, Tamas Nagy, Sarah Bonk, Rubèn González-Colom, Xenia Gonda, Linda Garvert and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

21 authors.

Andras Gezsi *Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Budapest, Hungary.ORCID 0000-0003-1022-6356
Sandra Van der Auwera *Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0002-1757-7768
Hannu MäkinenDepartment of Public Health and Welfare, Population Health Unit, Public Health Research Team, Finnish Institute for Health and Welfare, Helsinki, Finland.
Nora EszlariDepartment of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary.
Gabor HullamDepartment of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Budapest, Hungary.
Tamas NagyDepartment of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Budapest, Hungary.
Sarah BonkDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Rubèn González-ColomClínic Barcelona, Fundació de Recerca Clinic Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0001-7330-9621
Xenia GondaDepartment of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-9015-4203
Linda GarvertDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0001-9067-8170
Teemu PaajanenDepartment of Public Health and Welfare, Population Health Unit, Public Health Research Team, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0003-3499-4800
Zsofia GalDepartment of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-9441-1497
Kevin KirchnerDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Andras MillinghofferAbiomics Europe Ltd., Budapest, Hungary.
Carsten O SchmidtInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0001-5266-9396
Bence BolgarDepartment of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Budapest, Hungary.
Josep RocaClínic Barcelona, Fundació de Recerca Clinic Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
Isaac CanoClínic Barcelona, Fundació de Recerca Clinic Barcelona - Institut d'Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0003-2938-7459
Mikko KuokkanenDepartment of Public Health and Welfare, Population Health Unit, Public Health Research Team, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0003-4375-9327
Peter AntalDepartment of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics, Budapest, Hungary.ORCID 0000-0002-4370-2198
Gabriella JuhaszDepartment of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary. juhasz.gabriella@semmelweis.hu.ORCID 0000-0002-5975-4267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heterogeneity and complexity of symptom presentation, comorbidities and genetic factors pose challenges to the identification of biological mechanisms underlying complex diseases. Current approaches used to identify biological subtypes of major depressive disorder (MDD) mainly focus on clinical characteristics that cannot be linked to specific biological models. Here, we examined multimorbidities to identify MDD subtypes with distinct genetic and non-genetic factors. We leveraged dynamic Bayesian network approaches to determine a minimal set of multimorbidities relevant to MDD and identified seven clusters of disease-burden trajectories throughout the lifespan among 1.2 million participants from cohorts in the UK, Finland, and Spain. The clusters had clear protective- and risk-factor profiles as well as age-specific clinical courses mainly driven by inflammatory processes, and a comprehensive map of heritability and genetic correlations among these clusters was revealed. Our results can guide the development of personalized treatments for MDD based on the unique genetic, clinical and non-genetic risk-factor profiles of patients.

Indexed as

Bayes TheoremMajor Depressive DisorderMultimorbidityAdultAgedFemaleFinlandGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk FactorsSpainUnited KingdomYoung Adult

Identifiers

PMID39168988
PMCPMC11339304

What OpenQuestion holds

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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 OpenQuestion graph.