1. A molecular quantitative trait locus map for osteoarthritis
- Author
-
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], and Wilkinson, J. Mark [0000-0001-5577-3674]
- Subjects
0301 basic medicine ,Article ,Gene expression profiling ,Gene regulation ,Genome-wide association studies ,Transcriptomics ,Science ,Quantitative Trait Loci ,631/208/205/2138 ,General Physics and Astronomy ,Genome-wide association study ,Computational biology ,Osteoarthritis ,Disease ,Biology ,Quantitative trait locus ,Proteomics ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,0302 clinical medicine ,631/208/200 ,medicine ,Humans ,Genetic Predisposition to Disease ,Repurposing ,45/91 ,030203 arthritis & rheumatology ,Science & Technology ,Multidisciplinary ,45 ,631/208/212/2019 ,Gene Expression Profiling ,General Chemistry ,Omics ,medicine.disease ,ddc ,3. Good health ,Multidisciplinary Sciences ,030104 developmental biology ,Phenotype ,Drug development ,Gene Expression Regulation ,Science & Technology - Other Topics ,631/208/191/2018 ,Transcriptome ,Genome-Wide Association Study ,Transcription Factors - 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., 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.
- Published
- 2021
- Full Text
- View/download PDF