The methylomic landscape of human articular cartilage development contains epigenetic signatures of osteoarthritis risk

Increasing evidence is emerging to link age-associated complex musculoskeletal diseases, including osteoarthritis (OA), to developmental factors. Multiple studies have shown a functional role for DNA methylation in the genetic mechanisms of OA risk using articular cartilage samples taken from aged individuals, yet knowledge of temporal changes to the methylome during human cartilage development is limited. We quantified DNA methylation at ∼700,000 individual CpGs across the epigenome of developing human chondrocytes in 72 samples ranging from 7 to 21 post-conception weeks. We identified significant changes in 3% of all CpGs and >8,200 developmental differentially methylated regions. We further identified 24 loci at which OA genetic variants colocalize with methylation quantitative trait loci. Through integrating developmental and mature human chondrocyte datasets, we find evidence for functional effects exerted solely in development or throughout the life course. This will have profound impacts on future approaches to translating genetic pathways for therapeutic intervention.

Authors

Institutions

Publication Details

Journal
The American Journal of Human Genetics
Published
2024-11-22
DOI
https://doi.org/10.1016/j.ajhg.2024.10.017
Citations
5
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
1.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The methylomic landscape of human articular cartilage development contains epigenetic signatures of osteoarthritis risk

Lee Murphy, Abby Brumwell, David A. Young, Jamie Soul et al.
5 citations
The American Journal of Human Genetics
Cancer-related molecular mechanisms research
1.43
article

The methylomic landscape of human articular cartilage development contains epigenetic signatures of osteoarthritis risk

Lee Murphy, Abby Brumwell, David A. Young, Jamie Soul, Sarah Orr, Lynne M. Overman, Danielle Rux, Antony K. Sorial, Sarah J. Rice, Nicola Wrobel, Euan McDonnell, Matthew J. Barter
article en
5 citations

Abstract

Increasing evidence is emerging to link age-associated complex musculoskeletal diseases, including osteoarthritis (OA), to developmental factors. Multiple studies have shown a functional role for DNA methylation in the genetic mechanisms of OA risk using articular cartilage samples taken from aged individuals, yet knowledge of temporal changes to the methylome during human cartilage development is limited. We quantified DNA methylation at ∼700,000 individual CpGs across the epigenome of developing human chondrocytes in 72 samples ranging from 7 to 21 post-conception weeks. We identified significant changes in 3% of all CpGs and >8,200 developmental differentially methylated regions. We further identified 24 loci at which OA genetic variants colocalize with methylation quantitative trait loci. Through integrating developmental and mature human chondrocyte datasets, we find evidence for functional effects exerted solely in development or throughout the life course. This will have profound impacts on future approaches to translating genetic pathways for therapeutic intervention.

The American Journal of Human GeneticsVol. 111(12)
University of Liverpool (GB), Centre for Life (GB), Merseytravel (GB), UConn Health (US), Newcastle University (GB), University of Edinburgh (GB)
JGW Patterson Foundation, Wellcome Trust, Royal College of Surgeons of England, Versus Arthritis, National Institutes of Health, Medical Research Council
Zero hunger
Openalex Percentile: Top 17%
Cancer-related molecular mechanisms research
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.