ArticleCommunications biology2020
Analysis of genetically independent phenotypes identifies shared genetic factors associated with chronic musculoskeletal pain conditions.
Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06417528 (Chronic Postsurgical Pain), which is not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Chronic Postsurgical Pain: Multivariate Prediction Model
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Multi-ancestry meta-analysis of genome-wide association studies discovers 67 new loci associated with chronic back pain.Nature communications · 2025Pooled it
- A multi-ancestry genetic study of pain intensity in 598,339 veterans.Nature medicine · 2024Pooled it
- GWAS of extended prescription analgesic use identifies genetic loci in chronic pain.Nature communications · 2026Article
- Causal evidence linking chronic pain genetics to late-onset asthma via the nervous system.British journal of anaesthesia · 2026Article
- TheGenes · 2025Observational
- Article
- A genome-wide association study identifies novel genetic variants associated with neck or shoulder pain in the UK biobank (N = 430,193).Pain reports · 2025Article
- A multi-trait approach identified 7 novel genes for back pain.Pain reports · 2025Article
- Genetics of constant and severe pain in the NAPS2 cohort of recurrent acute and chronic pancreatitis patients.The journal of pain · 2025Article
- Gene Expression Correlates with Disability and Pain Intensity in Patients with Chronic Low Back Pain and Modic Changes in a Sex-Specific Manner.International journal of molecular sciences · 2025Article
- Spatial, transcriptomic, and epigenomic analyses link dorsal horn neurons to chronic pain genetic predisposition.Cell reports · 2024Article
- Chronic Overlapping Pain Conditions and Nociplastic Pain.medRxiv : the preprint server for health sciences · 2024Article
- Genetically Regulated Gene Expression in the Brain Associated With Chronic Pain: Relationships With Clinical Traits and Potential for Drug Repurposing.Biological psychiatry · 2024Article
- Polymorphism rs143384 GDF5 reduces the risk of knee osteoarthritis development in obese individuals and increases the disease risk in non-obese population.Arthroplasty (London, England) · 2024Article
- Can we achieve pain stratification in musculoskeletal conditions? Implications for clinical practice.Frontiers in pain research (Lausanne, Switzerland) · 2024Review
- Article
- Article
- Development and Replication of a Genome-Wide Polygenic Risk Score for Chronic Back Pain.Journal of personalized medicine · 2023Article
- An Italian Twin Study of Non-Cancer Chronic Pain as a Wide Phenotype and Its Intensity.Medicina (Kaunas, Lithuania) · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 6 countries.
Funding
Abstract
Chronic musculoskeletal pain affects all aspects of human life. However, mechanisms of its genetic control remain poorly understood. Genetic studies of pain are complicated by the high complexity and heterogeneity of pain phenotypes. Here, we apply principal component analysis to reduce phenotype heterogeneity of chronic musculoskeletal pain at four locations: the back, neck/shoulder, hip, and knee. Using matrices of genetic covariances, we constructed four genetically independent phenotypes (GIPs) with the leading GIP (GIP1) explaining 78.4% of the genetic variance of the analyzed conditions, and GIP2-4 explain progressively less. We identified and replicated five GIP1-associated loci and one GIP2-associated locus and prioritized the most likely causal genes. For GIP1, we showed enrichment with multiple nervous system-related terms and genetic correlations with anthropometric, sociodemographic, psychiatric/personality traits and osteoarthritis. We suggest that GIP1 represents a biopsychological component of chronic musculoskeletal pain, related to physiological and psychological aspects and reflecting pain perception and processing.
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Registered trials
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.