Evidence map›Paper›PMID 39934103›Full record

SynthesisNature communications2025

Multi-ancestry meta-analysis of genome-wide association studies discovers 67 new loci associated with chronic back pain.

Ian B Stanaway, Pradeep Suri, Niloofar Afari, Daniel Dochtermann, Armand Gerstenberger, Saiju Pyarajan, Eric J Roseen, Million Veteran Program, Marianna Gasperi

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2025. 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 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. Human hip osteoarthritis-associatedbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ian B StanawayVA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0783-0918
Pradeep SuriVA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA.
Niloofar AfariDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Daniel DochtermannCenter for Data and Computational Sciences (C-DACS), VA Boston Healthcare System (VABHS), Boston, MA, USA.ORCID http://orcid.org/0000-0001-9513-5124
Armand GerstenbergerVA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA.
Saiju PyarajanCenter for Data and Computational Sciences (C-DACS), VA Boston Healthcare System (VABHS), Boston, MA, USA.ORCID http://orcid.org/0000-0002-9047-3762
Eric J RoseenSection of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedision School of Medicine and Boston Medical Center, Boston, MA, USA.
Million Veteran Program
Marianna GasperiVA Puget Sound Health Care System (VAPSHCS), Seattle, WA, USA. mgasperi@uw.edu.ORCID http://orcid.org/0000-0003-4112-5232

Funding

UW Core Center for Clinical Research of Musculoskeletal ConditionsP30AR072572 · NIAMS · UNIVERSITY OF WASHINGTON · PI Pradeep Suri · 2017 to 2026
$8.3M
Improving Access to Chiropractic Care for Low Back Pain in Underserved Primary Care Settings: Development and Evaluation of a Multi-level Implementation StrategyK23AT010487 · NCCIH · BOSTON MEDICAL CENTER · PI ROSEEN, ERIC J · 2019 to 2023
$839k
CSRD VA IK2 CX002107NCCIH NIH HHS K23 AT010487NIAMS NIH HHS P30 AR072572RRD VA I01 RX003248RRD VA I01 RX004291U.S. Department of Veterans Affairs (Department of Veterans Affairs) 1IK2CX002107U.S. Department of Veterans Affairs (Department of Veterans Affairs) I01RX004291
6 · The paper itself

Abstract

This multi-ancestry meta-analysis of genome-wide association studies (GWAS) investigated the genetic factors underlying chronic back pain (CBP) in a sample from the Million Veteran Program comprised of 553,601 Veterans of African (19.2%), European (72.6%), and Hispanic (8.2%) ancestry. The results revealed novel (N = 67) and known (N = 20) genome-wide significant loci associated with CBP, with 43 independent variants replicating in a non-overlapping contemporary meta-GWAS of the spinal pain dorsalgia phenotype. The most significant novel variant was rs12533005 (chr7:114416000, p = 1.61 × 10

Indexed as

Back PainChronic PainBlack or African AmericanFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHispanic or LatinoHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideVeteransWhite

Identifiers

PMID39934103
PMCPMC11814113

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.