A transcriptome-wide association study provides new insights into the etiology of osteoarthritis.

BACKGROUND

Osteoarthritis (OA) is a common clinical disease caused by a variety of factors, including genetic variants. Although genome-wide association studies (GWAS) have been performed to elucidate the genetic basis of OA, some loci of risk located in noncoding regions of the genome have been neglected. Therefore, we integrated multiple data types to detect the genetic component of gene expression in OA patients through transcriptome-wide association studies (TWAS) and summary-data-based Mendelian randomization (SMR) analysis.

METHODS

TWAS was performed by integrating the larger GWAS summary-data for OA (n=30,727 cases, n=297,191 controls) and 2 expression weight sets (muscle-skeletal tissue and whole blood). Colocalization analysis, conditional analysis, and fine-mapping analysis were also conducted. A broad description of the identified associations was obtained. In addition, a causal relationship between certain risk genes and OA was identified with SMR.

RESULTS

New significant genome-wide associations were found, including on chromosome 1q36.12 (rs1555024, P=4.24E-07) near the and genes, on chromosome 17q24.2 (rs2521348, P=1.01E-06) near the gene, on chromosome 20q11.22 (rs224331, P=8.17E-09) near the and genes, and on chromosome 21q21.3 (rs2832155, P=5.39E-08) near the gene. In addition, SMR results exhibited that upregulated and downregulated were associated with OA development and both had a significant causal relationship with OA.

CONCLUSIONS

We revealed some novel OA-associated genes and risk loci by integrating multiple data types and analysis methods, thus providing new clues for the study of genetic mechanisms of OA.