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A molecular quantitative trait locus map for osteoarthritis

Authors :
Raveen L Jayasuriya
D Swift
Karan M. Shah
Jyoti S. Choudhary
Lorraine Southam
Graham R. Williams
Eleftheria Zeggini
Andrew McCaskie
Theodoros I. Roumeliotis
Julia Steinberg
J. H. Duncan Bassett
Roger A. Brooks
M.J. Clark
J. Mark Wilkinson
Natalie C. Butterfield
Steinberg, Julia [0000-0002-0585-2312]
Clark, Matthew J [0000-0003-2152-2257]
Shah, Karan M [0000-0001-9909-6409]
Butterfield, Natalie C [0000-0002-5209-7508]
Bassett, JH Duncan [0000-0003-0817-0082]
Williams, Graham R [0000-0002-8555-8219]
Choudhary, Jyoti S [0000-0003-0881-5477]
Wilkinson, J Mark [0000-0001-5577-3674]
Zeggini, Eleftheria [0000-0003-4238-659X]
Apollo - University of Cambridge Repository
Clark, Matthew J. [0000-0003-2152-2257]
Shah, Karan M. [0000-0001-9909-6409]
Butterfield, Natalie C. [0000-0002-5209-7508]
Bassett, J. H. Duncan [0000-0003-0817-0082]
Williams, Graham R. [0000-0002-8555-8219]
Choudhary, Jyoti S. [0000-0003-0881-5477]
Wilkinson, J. Mark [0000-0001-5577-3674]
Source :
Nature Communications, Nat. Commun. 12:1309 (2021), Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Publication Year :
2021

Abstract

Osteoarthritis causes pain and functional disability for over 500 million people worldwide. To develop disease-stratifying tools and modifying therapies, we need a better understanding of the molecular basis of the disease in relevant tissue and cell types. Here, we study primary cartilage and synovium from 115 patients with osteoarthritis to construct a deep molecular signature map of the disease. By integrating genetics with transcriptomics and proteomics, we discover molecular trait loci in each tissue type and omics level, identify likely effector genes for osteoarthritis-associated genetic signals and highlight high-value targets for drug development and repurposing. These findings provide insights into disease aetiopathology, and offer translational opportunities in response to the global clinical challenge of osteoarthritis.<br />Understanding the molecular effects of disease variants in relevant tissues is essential to understanding and treating disease. Here, the authors discover expression and protein quantitative trait loci in cartilage and synovium from 115 osteoarthritis patients to pinpoint genes of action and potential drug treatments.

Details

ISSN :
20411723
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....457c521e1ccd2b618f8a4423083871ff
Full Text :
https://doi.org/10.1038/s41467-021-21593-7