Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Partitioning knee osteoarthritis genetic variants based on BMI association to improve polygenic risk prediction.

Osteoarthritis and cartilage - 1 Jan 2026

Sedaghati-Khayat Bahar, Trajanoska Katerina, Boer Cindy G, Rivadeneira Fernando, Uitterlinden André G, van Meurs Joyce B J, van Rooij Jeroen G J

Abstract excerpt

INTRODUCTION: Polygenic risk scores (PRSs) show promise for improving knee osteoarthritis (KOA) risk prediction. However, many KOA-associated variants are also linked to body mass index (BMI)-a major KOA risk factor-complicating the combined use of PRS and BMI in predictive models. This study aimed to disentangle BMI-mediated from BMI-independent genetic contributions to KOA by partitioning the KOA-PRS. METHOD:...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Body Mass Index

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Multifactorial Inheritance

Share to Osteoarthritis, Knee

Share to Risk Assessment

Share to Risk Factors

Share to United Kingdom

Source

Identifiers

PMID: 41038527
DOI: 10.1016/j.joca.2025.09.018

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Partitioning knee osteoarthritis genetic variants based on BMI association to improve polygenic risk prediction.PMID 41038527Read ↗

Improved genetic prediction of the risk of knee osteoarthritis using the risk factor-based polygenic scoreSemantic proximity Read ↗

A sex- and site-specific relationship between body mass index and osteoarthritis: evidence from observational and genetic analyses.Semantic proximity Read ↗

The Genetic Epidemiological Landscape of Hip and Knee Osteoarthritis: Where Are We Now and Where Are We Going?Semantic proximity Read ↗

The genetic architecture of osteoarthritis: insights from UK BiobankSemantic proximity Read ↗

Genome-wide analyses using UK Biobank data provide insights into the genetic architecture of osteoarthritis.Semantic proximity Read ↗

Polygenic risk modeling with latent trait-related genetic components.Semantic proximity Read ↗

Polygenic risk modeling with latent trait-related genetic componentsSemantic proximity Read ↗

Association of Multiple Trait Polygenic Risk Score with Obesity and Cardiometabolic Diseases in Korean populationSemantic proximity Read ↗

Genetics of osteoarthritis: Insights from GWAS to therapeutic opportunities.Semantic proximity Read ↗

Integrating polygenic risk scores and constructing a predictive model to assess the risk of knee osteoarthritis in Taiwanese populationSemantic proximity Read ↗

Phenome-wide causal associations between osteoarthritis and other complex traits through the latent causal variable analysis.Semantic proximity Read ↗

Uncovering causal genetic mediators linking redefined obesity to osteoarthritis: Multidimensional analysis from population to genetic mechanisms.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.