OAOB

OAOB consolidates osteoarthritis multi-omics data and curated gene markers, integrating GWAS, differentially expressed genes, differential methylation regions, and single-cell RNA-seq–derived cell-type markers to support identification of disease-associated loci and cell-type specific molecular signatures.

Key Features:

• Extensive Data Integration: Consolidates omics experimental results from 159 publications, encompassing genome-wide association studies (GWAS), differentially expressed genes, and differential methylation regions.
• Gene Marker Classification: Contains 2405 classified osteoarthritis-related gene markers annotated for genetic and molecular associations.
• Single-Cell RNA-seq Data: Incorporates single-cell RNA-seq datasets from various joints identifying 5459 cell-type-specific gene markers.

Scientific Applications:

• Clinical Diagnosis and Prognosis: Provides access to genetic loci and molecular markers associated with osteoarthritis to inform selection of diagnostic and prognostic candidates.
• Research and Development: Supports investigation of molecular underpinnings of osteoarthritis and aids target identification for drug discovery and therapeutic development.
• Educational Resource: Offers a consolidated collection of osteoarthritis omics datasets for training and education in genomics and transcriptomics.

Methodology:

Systematically retrieved and integrated omics data from 159 publications, including GWAS, differential expression, differential methylation, and single-cell RNA-seq studies.