Evidence map›Paper›PMID 40932904›Full record

ArticleNature. Mental health2025

An encompassing Mendelian randomization study of the causes and consequences of major depressive disorder.

Joëlle A Pasman, Jacob Bergstedt, Arvid Harder, Tong Gong, Ying Xiong, Sara Hägg, Fang Fang, Jorien L Treur, Karmel W Choi, Patrick F Sullivan and 1 more

Abstract read
In one paragraph

Article in Nature. Mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Joëlle A PasmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0001-7558-0482
Jacob BergstedtDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-9279-6936
Arvid HarderDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Tong GongDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Ying XiongDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0001-7644-014X
Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Fang FangInstitute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-3310-6456
Jorien L TreurGenetic Epidemiology, Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands.
Karmel W ChoiDepartment of Psychiatry, Harvard Medical School, Boston, MA USA.ORCID 0000-0002-3914-2431
Patrick F SullivanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Yi LuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.

Funding

A Trans-Nordic Study of Extreme Major DepressionR01MH123724 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PATRICK F SULLIVAN, Lu Yi · 2020 to 2026
$4.7M
1/7 PGC: Advancing Discovery and ImpactR01MH124871 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, SULLIVAN, PATRICK F · 2021 to 2025
$3.5M
2/2 Genetics at an extreme: an efficient genomic study of individuals with clinically severe major depression receiving ECTR01MH121545 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2019 to 2023
$2.9M
Integrating Health Records, Genomic, and Social Data to Stratify Adolescent Depression RiskK08MH127413 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, KARMEL · 2021 to 2025
$987k
NIMH NIH HHS K08 MH127413NIMH NIH HHS R01 MH121545NIMH NIH HHS R01 MH123724NIMH NIH HHS R01 MH124871
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a prevalent and debilitating disorder whose causes and consequences remain insufficiently understood. Genetic variants can be used to study causal relationships with other traits. Here we reviewed 201 MDD-associated traits and performed genetic correlation analyses for 115 traits, two-sample Mendelian randomization for 89 of them, and one-sample Mendelian randomization for an additional 43 outcomes, applying sensitivity tests and power analyses. We show that MDD liability increases risk for poorer circadian, cognitive, diet, medical disease, endocrine, functional, inflammatory, metabolic, mortality, physical activity, reproduction, risk behavior, social, socioeconomic and suicide outcomes. Most associations were bidirectional, although with weaker evidence for diet, disease and endocrine traits causing MDD risk. These findings provide a systematic overview of traits putatively causally linked to MDD-confirming known links and identifying new ones-and underscore MDD as a cross-cutting risk factor across medical, functional and psychosocial domains.

Indexed as

Behavioural geneticsRisk factors

Identifiers

PMID40932904
PMCPMC12417207

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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.