Evidence map›Paper›PMID 37678542›Full record

ArticleBiological psychiatry2024

Genetically Regulated Gene Expression in the Brain Associated With Chronic Pain: Relationships With Clinical Traits and Potential for Drug Repurposing.

Keira J A Johnston, Alanna C Cote, Emily Hicks, Jessica Johnson, Laura M Huckins

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 3 institutions in 1 country.

Keira J A JohnstonDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut. Electronic address: keira.johnston@yale.edu.
Alanna C CotePamela Sklar Division of Psychiatric Genetics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Emily HicksPamela Sklar Division of Psychiatric Genetics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Jessica JohnsonSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Laura M HuckinsDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut. Electronic address: laura.huckins@yale.edu.
Icahn School of Medicine at Mount Sinai · USYale University · USUniversity of North Carolina at Chapel Hill · US

Funding

Modeling the interaction of physiological and environmental stressors on common variants to psychiatric traitsR01ES033630 · NIEHS · YALE UNIVERSITY · PI Kristen Jennifer Brennand · 2022 to 2026
$4.6M
Predicting the multi-omic impact of psychiatric GWAS associationsR01MH118278 · NIMH · YALE UNIVERSITY · PI HUCKINS, LAURA MARIANNE · 2019 to 2023
$3.6M
3/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124839 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDREASSEN, OLE A, HUCKINS, LAURA MARIANNE · 2021 to 2025
$2.0M
NIEHS NIH HHS R01 ES033630NIMH NIH HHS R01 MH118278NIMH NIH HHS R01 MH124839
6 · The paper itself

Abstract

backgroundChronic pain is a common, poorly understood condition. Genetic studies including genome-wide association studies have identified many relevant variants, which have yet to be translated into full understanding of chronic pain. Transcriptome-wide association studies using transcriptomic imputation methods such as S-PrediXcan can help bridge this genotype-phenotype gap.

methodsWe carried out transcriptomic imputation using S-PrediXcan to identify genetically regulated gene expression associated with multisite chronic pain in 13 brain tissues and whole blood. Then, we imputed genetically regulated gene expression for over 31,000 Mount Sinai BioMe participants and performed a phenome-wide association study to investigate clinical relationships in chronic pain-associated gene expression changes.

resultsWe identified 95 experiment-wide significant gene-tissue associations (p < 7.97 × 10

conclusionsWe carried out the largest transcriptomic imputation study of any chronic pain trait to date. Results highlight potential causal genes in chronic pain development and tissue and direction of effect. Several gene results were also drug targets. Phenome-wide association study results showed significant associations for phecodes including cardiac dysrhythmia and metabolic syndrome, thereby indicating potential shared mechanisms.

Indexed as

Chronic PainMetabolic SyndromeArrhythmias, CardiacBrainDrug RepositioningGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideTranscriptomeChronic painGene expressionPheWASS-PrediXcanTranscriptome-wide association study (TWAS)

Identifiers

PMID37678542
PMCPMC10924073
OpenAlexW4386530946

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.