| Title: | A Genome-Wide Association Study Identifies Novel Genetic Variants Associated with Knee Pain in the UK Biobank (n = 439,743) |
| Journal: | Phenomics |
| Published: | 14 May 2026 |
| DOI: | https://doi.org/10.1007/s43657-025-00272-3 |
| URL: | https://www.medrxiv.org/content/medrxiv/early/2024/09/25/2024.09.16.24313726.full.pdf |
Publication 20025
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Abstract
Knee pain is a widespread musculoskeletal condition affecting millions globally, with significant socio-economic implications. This study aims to identify genetic variants associated with knee pain through a comprehensive genome-wide association study (GWAS) using data from 439,743 UK Biobank participants. The primary GWAS identified ten significant loci, including eight novel loci, with the most significant single nucleotide polymorphism (SNP) identified as rs143384 near the GDF5 gene on chromosome 20 (p = 4.68 × 10-19). In the replication study, seven loci (rs143384, rs919642, rs55760279, rs56076919, rs3892354, rs687878, and rs368636424) were found to be significant in the FinnGen cohort. Furthermore, sex-specific analyses revealed distinct genetic associations, identifying three loci (rs143384 with p = 1.70 × 10-15, rs56076919 with p = 1.60 × 10-9, rs919642 with p = 1.45 × 10-8) in females and four loci (rs2899611 with p = 2.77 × 10-11, rs891720 with p = 5.55 × 10-11, rs2742313 with p = 4.19 × 10-9, rs2019689 with p = 6.51 × 10-9) in males. The phenome-wide association analysis and Mendelian randomization analysis revealed significant links between several phenotypes and knee pain, such as leg pain on walking. These findings enhance our understanding of the genetic factors underlying knee pain, offering potential pathways for therapeutic interventions and personalized medical strategies.</p>
7 Authors
- Yiwen Tao
- Qi Pan
- Tengda Cai
- Luning Yang
- Mainul Haque
- Tania Dottorini
- Weihua Meng
1 Application
| Application ID | Title |
|---|---|
| 89386 | To explore the genetic mechanisms of multiple pain phenotypes based on the UK Biobank cohort |
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