Synovial transcriptome-wide association study implicates novel genes underlying rheumatoid arthritis risk.

Objectives: This study aimed to address the lack of gene expression regulation data in synovial tissues and to identify conditionally independent genes associated with rheumatoid arthritis (RA) in the synovium, a primary target tissue for RA.

Methods: Gene expression prediction models were built for synovial tissue using matched genotype and gene expression data from 202 subjects. Using this model, we conducted transcriptome-wide association study (TWAS), utilizing the largest RA genome-wide association study (GWAS) meta-analysis data (n = 276 020).

Unveiling Promising Neuroimaging Biomarkers for Schizophrenia Through Clinical and Genetic Perspectives.

Schizophrenia is a complex and serious brain disorder. Neuroscientists have become increasingly interested in using magnetic resonance-based brain imaging-derived phenotypes (IDPs) to investigate the etiology of psychiatric disorders. IDPs capture valuable clinical advantages and hold biological significance in identifying brain abnormalities.

A landscape of gene expression regulation for synovium in arthritis.

The synovium is an important component of any synovial joint and is the major target tissue of inflammatory arthritis. However, the multi-omics landscape of synovium required for functional inference is absent from large-scale resources. Here we integrate genomics with transcriptomics and chromatin accessibility features of human synovium in up to 245 arthritic patients, to characterize the landscape of genetic regulation on gene expression and the regulatory mechanisms mediating arthritic diseases predisposition.