A genome-wide association study identifies that the GDF5 and COL27A1 genes are associated with knee pain in UK Biobank (N = 171, 516)
Mark J. Adams,
Colin N.A. Palmer,
The 23andMe Research Team,
Kathleen A. Ryan,
Joanne M Jordan,
Braxton D Mitchell,
Rebecca D Jackson,
Michelle S Yau,
Andrew M McIntosh,
Blair H Smith
Posted 20 Jan 2019
bioRxiv DOI: 10.1101/525147
Posted 20 Jan 2019
Objective: Knee pain is one of the most common musculoskeletal complaints that brings people to medical attention. We sought to identify the genetic variants associated with knee pain in 171,516 subjects from the UK Biobank cohort and replicate them using cohorts from 23andMe, the Osteoarthritis Initiative (OAI), and the Johnston County Osteoarthritis Study (JoCo). Methods: We performed a genome-wide association study of knee pain in the UK Biobank, where knee pain was ascertained through self-report and defined as 'knee pain in the last month interfering with usual activities'. A total of 22,204 cases and 149,312 controls were included in the discovery analysis. We tested our top and independent SNPs (P < 5 x 10-8) for replication in 23andMe, OAI, and JoCo, then performed a joint meta-analysis between discovery and replication cohorts using GWAMA. We calculated the narrow-sense heritability of knee pain using Genome-wide Complex Trait Analysis (GCTA). Results: We identified 2 loci that reached genome-wide significance, rs143384 located in the GDF5 (P = 1.32 x 10-12), a gene previously implicated in osteoarthritis, and rs2808772, located near COL27A1 (P = 1.49 x 10-8). These findings were subsequently replicated in independent cohorts and increased in significance in the joint meta-analysis (rs143384: P = 4.64 x 10-18; rs2808772: P = 2.56 x 10-11). The narrow sense heritability of knee pain was 0.08. Conclusion: In this first reported genome-wide association meta-analysis of knee pain, we identified and replicated two loci in or near GDF5 and COL27A1 that are associated with knee pain.
- Downloaded 271 times
- Download rankings, all-time:
- Site-wide: 83,256
- In genetics: 3,858
- Year to date:
- Site-wide: 109,986
- Since beginning of last month:
- Site-wide: 98,105
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!