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A molecular quantitative trait locus map for osteoarthritis
- 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.
- 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
Subjects
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