Decoding the genomic basis of osteoarthritis
Natalie C Butterfield,
Theodoros I. Roumeliotis,
Matthew J Clark,
Raveen L. Jayasuriya,
Karan M. Shah,
Katherine F Curry,
Roger A. Brooks,
Andrew W. McCaskie,
Christopher J Lelliott,
Jyoti S. Choudhary,
JH Duncan Bassett,
Graham R. Williams,
J Mark Wilkinson,
Posted 12 Nov 2019
bioRxiv DOI: 10.1101/835850
Posted 12 Nov 2019
Osteoarthritis causes pain and functional disability for a quarter of a billion people worldwide, with no disease-stratifying tools nor modifying therapy. Here, we use primary cartilage and synovium from osteoarthritis patients to construct a molecular quantitative trait locus map of gene expression and protein abundance. By integrating data across omics levels, we identify likely effector genes for osteoarthritis-associated genetic signals. We detect pronounced molecular differences between macroscopically intact and highly degenerated cartilage. We identify molecularly-defined patient subgroups that correlate with clinical characteristics, stratifying patients on the basis of their molecular profile. We construct and validate a 7-gene classifier that reproducibly distinguishes between these disease subtypes, and identify potentially actionable compounds for disease modification and drug repurposing.
- Downloaded 705 times
- Download rankings, all-time:
- Site-wide: 21,023 out of 94,912
- In genomics: 2,423 out of 5,955
- Year to date:
- Site-wide: 8,989 out of 94,912
- Since beginning of last month:
- Site-wide: 17,497 out of 94,912
Downloads over time
Distribution of downloads per paper, site-wide
- 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!