Evidence map›Paper›PMID 38429522›Full record

SynthesisNature medicine2024

A multi-ancestry genetic study of pain intensity in 598,339 veterans.

Sylvanus Toikumo, Rachel Vickers-Smith, Zeal Jinwala, Heng Xu, Divya Saini, Emily E Hartwell, Mirko Pavicic, Kyle A Sullivan, Ke Xu, Daniel A Jacobson and 10 more

Erratum issuedOpen access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
13.0field-weighted citation impact, top 1% of its field
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  20. The genetic architecture of fibromyalgia across 2.5 million individuals.medRxiv : the preprint server for health sciences · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 2 countries.

Sylvanus ToikumoMental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA.
Rachel Vickers-SmithMental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA.
Zeal JinwalaDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0009-0005-5062-0827
Heng XuDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Divya SainiDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Emily E HartwellMental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA.ORCID 0000-0002-5137-9714
Mirko PavicicBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID 0000-0002-2908-3183
Kyle A SullivanBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID 0000-0002-4621-5598
Ke XuVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0002-6472-7052
Daniel A JacobsonBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.ORCID 0000-0002-9822-8251
Joel GelernterVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0002-4067-1859
Christopher T RentschVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0002-1408-7907
Million Veteran Program
Eli StahlRegeneron Genetics Center, Tarrytown, NY, USA.
Martin CheatleDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Hang ZhouVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0002-7694-6391
Stephen G WaxmanVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.ORCID 0000-0001-5718-7177
Amy C JusticeVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
Rachel L Kember *Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA.ORCID 0000-0001-8820-2659
Henry R Kranzler *Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA. kranzler@pennmedicine.upenn.edu.ORCID 0000-0002-1018-0450
University of Pennsylvania · USYale University · USOak Ridge National Laboratory · USPhiladelphia VA Medical Center · USRegeneron (United States) · USUniversity of Kentucky · USVA Connecticut Healthcare System · US

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Radiochemistry CoreP30DA046345 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KRANZLER, HENRY RICHARD, MACH, ROBERT H · 2019 to 2023
$9.4M
Characterizing the phenotypic spectrum associated with genetic liability for alcohol use disorderK01AA028292 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI KEMBER, RACHEL LORRAINE · 2021 to 2024
$505k
Genetic Vulnerability for Sustained Multi-Substance Use in MVPI01BX003341 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI FEDERMAN, DANIEL, JUSTICE, AMY CAROLINE · 2017 to 2017
–
Genetic architecture of substance use disorders and major depressionIK2CX002336 · VA · PHILADELPHIA VA MEDICAL CENTER · PI Emily Hartwell · 2022 to 2026
–
BLRD VA I01 BX003341CSRD VA IK2 CX002336NCATS NIH HHS UL1 TR001878NIAAA NIH HHS K01 AA028292NIDA NIH HHS P30 DA046345
6 · The paper itself

Abstract

Chronic pain is a common problem, with more than one-fifth of adult Americans reporting pain daily or on most days. It adversely affects the quality of life and imposes substantial personal and economic costs. Efforts to treat chronic pain using opioids had a central role in precipitating the opioid crisis. Despite an estimated heritability of 25-50%, the genetic architecture of chronic pain is not well-characterized, in part because studies have largely been limited to samples of European ancestry. To help address this knowledge gap, we conducted a cross-ancestry meta-analysis of pain intensity in 598,339 participants in the Million Veteran Program, which identified 126 independent genetic loci, 69 of which are new. Pain intensity was genetically correlated with other pain phenotypes, level of substance use and substance use disorders, other psychiatric traits, education level and cognitive traits. Integration of the genome-wide association studies findings with functional genomics data shows enrichment for putatively causal genes (n = 142) and proteins (n = 14) expressed in brain tissues, specifically in GABAergic neurons. Drug repurposing analysis identified anticonvulsants, β-blockers and calcium-channel blockers, among other drug groups, as having potential analgesic effects. Our results provide insights into key molecular contributors to the experience of pain and highlight attractive drug targets.

Indexed as

Chronic PainVeteransAdultGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPain MeasurementPolymorphism, Single NucleotideQuality of Life

Identifiers

PMID38429522
PMCPMC12105102
OpenAlexW4392356500

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.