Evidence map›Paper›PMID 40009368›Full record

ArticleJAMA psychiatry2025

Genetic Correlates of Treatment-Resistant Depression.

Bohan Xu, Katherine L Forthman, Rayus Kuplicki, Jonathan Ahern, Robert Loughnan, Firas Naber, Wesley K Thompson, Charles B Nemeroff, Martin P Paulus, Chun Chieh Fan

Abstract read
In one paragraph

Article in JAMA psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Comparative polygenic predispositions of treatment-resistant depression in East Asian and European populations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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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

10 authors.

Bohan XuPopulation Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma.
Katherine L ForthmanLaureate Institute for Brain Research, Tulsa, Oklahoma.
Rayus KuplickiLaureate Institute for Brain Research, Tulsa, Oklahoma.
Jonathan AhernPopulation Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma.
Robert LoughnanPopulation Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma.
Firas NaberPopulation Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma.
Wesley K ThompsonPopulation Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma.
Charles B NemeroffDepartment of Psychiatry and Behavioral Sciences, Dell Medical School, The University of Texas at Austin, Austin.
Martin P PaulusLaureate Institute for Brain Research, Tulsa, Oklahoma.
Chun Chieh FanPopulation Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma.

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI Maëlle Camille Marie Gueguen · 2017 to 2026
$23.7M
Effects of pandemic-related disruption to social connectedness on the brain and emotional wellbeing in adolescentsR01MH128959 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Fiona C Baker, Chun Chieh Fan · 2022 to 2026
$3.9M
Identifying and quantifying genetic effects on neurodevelopmental trajectories in adolescentsR01MH122688 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FAN, CHUN CHIEH · 2020 to 2024
$1.8M
NIGMS NIH HHS P20 GM121312NIMH NIH HHS R01 MH122688NIMH NIH HHS R01 MH128959
6 · The paper itself

Abstract

Importance: Treatment-resistant depression (TRD) is a major challenge in mental health, affecting a significant number of patients and leading to considerable burdens. The etiological factors contributing to TRD are complex and not fully understood. Objective: To investigate the genetic factors associated with TRD using polygenic scores (PGS) across various traits and explore their potential role in the etiology of TRD using large-scale genomic data from the All of Us (AoU) Research Program. Design, Setting, and Participants: This study was a cohort design with observational data from participants in the AoU Research Program who have both electronic health records and genomic data. Data analysis was performed from March 27 to October 24, 2024. Exposures: PGS for 61 unique traits from 7 domains. Main Outcomes and Measures: Logistic regressions to test if PGS was associated with treatment-resistant depression (TRD) compared with treatment-responsive major depressive disorder (trMDD). Cox proportional hazard model was used to determine if the progressions from MDD to TRD were associated with PGS. Results: A total of 292 663 participants (median [IQR] age, 57 (41-69) years; 175 981 female [60.1%]) from the AoU Research Program were included in this analysis. In the discovery set (124 945 participants), 11 of the selected PGS were found to have stronger associations with TRD than with trMDD, encompassing PGS from domains in education, cognition, personality, sleep, and temperament. Genetic predisposition for insomnia (odds ratio [OR], 1.11; 95% CI, 1.07-1.15) and specific neuroticism (OR, 1.11; 95% CI, 1.07-1.16) traits were associated with increased TRD risk, whereas higher education (OR, 0.88; 95% CI, 0.85-0.91) and intelligence (OR, 0.91; 95% CI, 0.88-0.94) scores were protective. The associations held across different TRD definitions (meta-analytic R2 >83%) and were consistent across 2 other independent sets within AoU (the whole-genome sequencing Diversity dataset, 104 388, and Microarray dataset, 63 330). Among 28 964 individuals followed up over time, 3854 developed TRD within a mean of 944 days (95% CI, 883-992 days). All 11 previously identified and replicated PGS were found to be modulating the conversion rate from MDD to TRD. Conclusions and Relevance: Results of this cohort study suggest that genetic predisposition related to neuroticism, cognitive function, and sleep patterns had a significant association with the development of TRD. These findings underscore the importance of considering psychosocial factors in managing and treating TRD. Future research should focus on integrating genetic data with clinical outcomes to enhance understanding of pathways leading to treatment resistance.

Identifiers

PMID40009368
PMCPMC11866074

What OpenQuestion 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 OpenQuestion graph.