Response eQTLs, chromatin accessibility, and 3D chromatin structure in chondrocytes provide mechanistic insight into osteoarthritis risk

Nicole E Kramer,Philip Coryell, Susan D’Costa, Eliza Thulson, Seyoun Byun, HyunAh Kim, Sylvie M Parkus, Marielle L Bond,Jacqueline Shine, Susanna Chubinskaya, Michael I Love,Karen L Mohlke, Brian O Diekman,Richard F Loeser,Douglas H Phanstiel

crossref(2024)

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摘要
Osteoarthritis (OA) poses a significant healthcare burden with limited treatment options. While genome-wide association studies (GWAS) have identified over 100 OA-associated loci, translating these findings into therapeutic targets remains challenging. Integrating expression quantitative trait loci (eQTL), 3D chromatin structure, and other genomic approaches with OA GWAS data offers a promising approach to elucidate disease mechanisms; however, comprehensive eQTL maps in OA-relevant tissues and conditions remain scarce. We mapped gene expression, chromatin accessibility, and 3D chromatin structure in primary human articular chondrocytes in both resting and OA-mimicking conditions. We identified thousands of differentially expressed genes, including those associated with differences in sex and age. RNA-seq in chondrocytes from 101 donors across two conditions uncovered 3782 unique eGenes, including 420 that exhibited strong and significant condition-specific effects. Colocalization with OA GWAS signals revealed 13 putative OA risk genes, 10 of which have not been previously identified. Chromatin accessibility and 3D chromatin structure provided insights into the mechanisms and conditional specificity of these variants. Our findings shed light on OA pathogenesis and highlight potential targets for therapeutic development. Highlights ### Competing Interest Statement The authors have declared no competing interest. The genotyping, RNA-seq, ATAC-seq, and Hi-C data sets generated for this research study are in the process of being submitted to the NIH’s database of Genotypes and Phenotypes (dbGaP) under the accession number phs003581. v1.p1. Full eQTL summary statistics are available through the Downloads page on the Musculoskeletal Knowledge Portal ().
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