Multitissue interactions (cartilage–subchondral bone; cartilage–synovium) are prevalent in
the pathophysiology of osteoarthritis, which is characterized by substantial matrix …

Objective Osteoarthritis (OA) is a complex disease involving contributions from both local
joint tissues and systemic sources. Patient characteristics, encompassing sociodemographic …

Osteoarthritis (OA) is the most common form of musculoskeletal disease with significant
healthcare costs and unmet needs in terms of early diagnosis and treatment. Many of the …

Functional genomics is a challenging new way to address a complex disease like
osteoarthritis on a molecular level. Despite osteoarthritis being ultimately a biochemical …

To address the complexity of osteoarthritis, integration of multitissue analyses by multiomics
approaches with the inclusion of longitudinal clinical data is necessary for a comprehensive …

Objectives To determine how gene expression profiles in osteoarthritis joint tissues relate to
patient phenotypes and whether molecular subtypes can be reproducibly captured by a …

Functional genomic approaches will in the future allow to complement traditional
biochemistry and molecular biology. Although there are limitations to cDNA array …

Objective In this review, we have highlighted advances in genetics, genomics and
epigenetics in the field of osteoarthritis (OA) over the past year. Methods A literature search …

Advances in genomic technologies have made genome-wide-association and gene-
expression studies a reality. Despite technical and analytical challenges, the application of …

Objective To identify OA subtypes based on cartilage transcriptomic data in cartilage tissue
and characterize their underlying pathophysiological processes and/or clinically relevant …