Osteoarthritis

Osteoarthritis: Largest Genome-Wide Association Study Uncovers Drug Targets and Therapy Opportunities

New Research Findings Computational Health ITG

Osteoarthritis is the leading cause of disability and chronic pain worldwide, affecting an estimated 595 million people globally. Projections suggest that this number will rise to 1 billion by 2050. Despite its profound impact on individuals and societies, no disease-modifying treatments are currently available. Now, an international team of researchers led by Helmholtz Munich has made new discoveries by studying the genetics of osteoarthritis in nearly 2 million individuals, uncovering hundreds of potential new drug targets and opportunities for repurposing existing treatments.

Ten Percent of Genetic Targets Linked to Approved Drugs

The research team conducted the largest genome-wide association study (GWAS) ever performed on osteoarthritis, uncovering over 900 genetic associations. More than 500 of these associations had never been reported before, providing fresh insights into the genetic landscape of the disease. By integrating diverse biomedical datasets, the researchers identified 700 genes with high confidence as being involved in osteoarthritis. Notably, ten percent of these genes encode proteins that are already targeted by approved drugs, opening the door to drug repurposing opportunities that could accelerate treatment development. “With ten percent of our genetic targets already linked to approved drugs, we are now one step closer to accelerating the development of effective treatments for osteoarthritis," explains study leader Prof. Eleftheria Zeggini, Director of the Institute of Translational Genomics at Helmholtz Munich and Professor of Translational Genomics at the Technical University of Munich.

Personalizing Osteoarthritis Treatments

Beyond identifying genetic targets with therapeutic potential, the study also provides valuable insights that could help tailor treatment strategies. “Genetic variants associated with osteoarthritis risk are widespread across osteoarthritis patients,” says co-first author Dr. Konstantinos Hatzikotoulas. “Our newly gained knowledge about them can enable improved patient selection for clinical trials and personalized medicine approaches.” In addition to these genetic insights, the scientists identified eight key biological processes crucial to osteoarthritis development, including the circadian clock and glial cell functions. “Our discovery suggests that targeted interventions regulating one or more of these eight processes could play another significant role in slowing or even halting disease progression,” Hatzikotoulas adds.

“What we found in the largest osteoarthritis GWAS study not only advances our understanding of the disease but also lays the groundwork for developing more effective and personalized therapies that could transform osteoarthritis care”, says Eleftheria Zeggini.

 

Original Publication

Hatzikotoulas, Southam, Stefansdottir, Boer, McDonald et al., 2025: Translational genomics of osteoarthritis in 1,962,069 individuals. Nature. DOI: 10.1038/s41586-025-08771-z

Eleftheria Zeggini Portrait
Eleftheria Zeggini

Director, Institute of Translational Genomics

Profil anzeigen
Konstantinos Hatzikotoulas

Senior Staff Scientist

Verwandte Nachrichten

Portrait Ele Zeggini

Awards & Grants, Computational Health, ITG,

Eleftheria Zeggini Appointed to ERC Scientific Council

The European Commission has appointed Prof. Eleftheria Zeggini, Director of the Institute of Translational Genomics at Helmholtz Munich, to the Scientific Council of the European Research Council (ERC). Alongside five newly selected members, she will…

New Research Findings, Diabetes, Computational Health, ITG,

Größte Studie zum genetischen Risiko für Typ-2-Diabetes veröffentlicht

Die genetischen Informationen in unseren Zellen bergen viele Geheimnisse über unser individuelles Krankheitsrisiko, den potenziellen Krankheitsverlauf und mögliche Komplikationen. Angesichts von Hunderten Millionen Erkrankten weltweit ist die…

HMGU_Icon_Computat_Health

Featured Publication, Computational Health, ITG,

Multimorbidität verstehen: Zusammenhang zwischen Typ-2-Diabetes und Osteoarthrose

Das gleichzeitige Auftreten mehrerer chronischer Erkrankungen bei einer einzelnen Person ist definiert als Multimorbidität und stellt das Gesundheitswesen aufgrund der alternden Bevölkerung vor eine erhebliche Herausforderung. In einem…

Big genomic data visualization

Computational Health, ITG,

Big Data am Krankenbett

Die Analyse von Genen kann dabei helfen, Erkrankungen frühzeitig zu erkennen und Ansatzpunkte für Therapien zu finden. Dank extrem leistungsfähiger Datenverarbeitung verspricht das Feld große Fortschritte. Helmholtz Munich gehört beim Einsatz dieser…

The Genetic Burden of Osteoarthritis - Cindy G. Boer

New Research Findings, Computational Health, ITG,

Milestone in Osteoarthritis Research

Researchers found new genetic risk factors for osteoarthritis and identified novel drug targets. Their finding is a milestone towards the development of the first ever curative treatment for osteoarthritis. The study involved an international…