Evidence map›Paper›PMID 41957284›Full record

ArticleNpj mental health research2026

Testing bidirectional associations of major depressive disorder with medical conditions: two-sample Mendelian randomization study.

Yu Fang, Srijan Sen, Gita A Pathak, Margit Burmeister, Leah S Richmond-Rakerd

Abstract read
In one paragraph

Article in Npj mental health research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yu FangMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA. yfang@umich.edu.
Srijan SenMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.
Gita A PathakInstitute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Margit BurmeisterMichigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA.
Leah S Richmond-RakerdDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.

Funding

Mobile Technology to Optimize Depression TreatmentR01MH131617 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Amy S B Bohnert, SRIJAN SEN · 2022 to 2026
$3.7M
Alzheimer's Association AARF-22-967171NIA NIH HHS K99/R00AG078503NIMH NIH HHS R01MH131617
6 · The paper itself

Abstract

Depression is associated with increased risk for a variety of medical conditions. However, the extent to which these associations reflect a causal impact of depression on medical conditions, or vice-versa, remains unresolved. We tested bidirectional causal relationships between major depressive disorder (MDD) and multiple medical conditions and symptoms, using a genetically-informed approach for causal inference. Candidate disease traits were selected based on their genetic associations with MDD, as identified in prior phenome-wide association studies that used polygenic scores for MDD and electronic health records for trait ascertainment. In total, 183 candidate traits across 15 phenome-wide association study code (phecode) categories were identified. We conducted bidirectional, two-sample Mendelian randomization using summary statistics from non-overlapping, European-ancestry genome-wide association studies (GWASs) of MDD and the disease traits. There were sufficient instrumental genetic variables to test causal effects of MDD on 182 of these traits. Genetic liability to MDD was associated with 109 (59.9%) traits, with the strongest potential causal evidence observed for 105 (57.7%) traits across 13 phecode categories: Mental disorders; digestive, genitourinary, neurological, respiratory, circulatory-system, endocrine/metabolic, musculoskeletal, sense-organ, infectious-disease, and dermatologic conditions; injuries and poisonings; and symptoms. There were 10 disease traits with sufficient instrumental genetic variables to test causal effects on MDD. Of these 10 traits, only two (20.0%)-genetically-predicted gastroesophageal reflux disease (GERD) and hypertension-were associated with MDD risk. GERD showed evidence of bidirectional associations with MDD (MDD → GERD: odds ratio (OR) = 2.02, 99% confidence interval [CI] 1.84-2.22; GERD → MDD: OR = 1.48, 99% CI 1.39-1.58). The present results are consistent with a causal effect of major depressive disorder on a broad range of medical conditions and symptoms. Prevention and treatment of MDD could benefit not only mental health but also physical health.

Identifiers

PMID41957284
PMCPMC13066394

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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.