Peripheral Blood DNA Methylation–Based Machine Learning Models for Prediction of Knee Osteoarthritis Progression: Biologic Specimens and Data From the Osteoarthritis Initiative and Johnston County Osteoarthritis Project
Abstract
The lack of accurate biomarkers to predict knee osteoarthritis (OA) progression is a key unmet need in OA clinical research. The objective of this study was to develop baseline peripheral blood epigenetic biomarker models to predict knee OA progression.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 21, 2022
- Source ID
- 10.1002/art.42316
Entities
People
- Amanda E Nelson
- Cassandra Sturdy
- Cassandra Velasco
- Christopher M. Dunn
- Emmaline Prinz
- Leoni Schlupp
- Liubov Arbeeva
- Matlock Jeffries
- Vladislav Izda
- Yvonne M Golightly
Organizations
- Congressionally Directed Medical Research Programs
- Icahn School of Medicine at Mount Sinai
- National Institute of Arthritis and Musculoskeletal and Skin Diseases
- National Institute of General Medical Sciences
- Oklahoma Medical Research Foundation
- University of Nebraska–Lincoln
- University of North Carolina at Chapel Hill
- University of Oklahoma Health Sciences Center