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Updated: Jun 12, 2026

Quantifying Pain Location and Intensity with Multimodal Pain Body Diagrams
Published on: July 7, 2023
Pain reporting at different body sites is explained by a single underlying genetic factor
Frances M K Williams1, Tim D Spector, Alex J MacGregor
1Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Hospital Campus, London SE1 7EH, UK. frances.williams@kcl.ac.uk
A single genetic factor influences the tendency to report musculoskeletal pain across various body sites. This finding suggests a generalized propensity for pain reporting, impacting future therapeutic target identification for chronic diseases.
Area of Science:
- Genetics
- Pain Research
- Epidemiology
Background:
- Musculoskeletal pain is a common complaint, but the reasons for reporting pain in specific areas are not fully understood.
- It remains unclear whether pain reflects localized pathology or a general tendency to experience pain.
Purpose of the Study:
- To investigate the heritability of pain reporting across different body sites using a twin study.
- To determine if a common underlying genetic factor influences the propensity to report musculoskeletal pain.
Main Methods:
- A classical twin design was employed with a sample of female twins from the TwinsUK cohort.
- Participants completed a questionnaire on pain experience in various body regions (neck, back, elbow, knee, thigh, hands, feet).
- Univariate and multivariate genetic analyses were used to assess the genetic contribution to pain reporting.
Main Results:
- Pain prevalence varied from 17% to 46% across anatomical sites.
- Heritability estimates for pain reporting at individual sites ranged from 28% to 71%.
- A single underlying factor explained 95% of the variance in pain reporting, with a heritability of 46% (95% CI 40-52%).
Conclusions:
- A shared genetic factor influences the propensity to report pain across different musculoskeletal sites.
- This contrasts with osteoarthritis, where genetic factors are site-specific.
- Findings may guide the development of therapeutic targets for pain in chronic degenerative conditions.
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