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Integrated post-GWAS, single-cell, and functional analyses prioritize TCTN2 at an osteoarthritis locus associated
Changchun Lu1, Lei Wang1, Xinqi Cao1
1Department of Orthopedics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Background:
Post-genome-wide association study (GWAS) interpretation of osteoarthritis (OA) increasingly requires integration with single-cell biology because many risk loci likely act through sterile inflammatory remodeling, regulatory and inflammatory chondrocyte states, and tissue-stress biology rather than through large disease-stage expression shifts. We therefore asked whether a published Transformer-based post-GWAS prioritization strategy could refine a multi-gene chr12 susceptibility locus into a tractable TCTN2-centered effector-gene hypothesis.
Methods:
Using combined hip and knee osteoarthritis summary statistics (213,839 cases and 1,080,481 controls), we built a transfer-learning variant-prioritization layer that scored 20,651,210 variants with 21 engineered features, combined these with LDSC, positional MAGMA, fibroblast and muscle eMAGMA, six-tissue SMR, and fine-mapping, and then integrated the prioritized locus with a 56,000-cell chondrocyte atlas, independent OA cartilage expression resources, OA primary-tissue eQTL maps, and ATDC5 perturbation experiments.
Results:
The prioritization model, used solely as a ranking layer, assigned a high prioritization score (≥ 0.99) to 17,150 variants, including the chr12 lead rs11611450 (prioritization score 0.999853), and highlighted 6,275 additional non-genome-wide-significant high-priority variants. Positional MAGMA nominated eight Bonferroni-significant genes, and eMAGMA nominated four genes in skeletal muscle and seven in fibroblasts. Within the rs11611450-linked five-gene cluster, TCTN2 showed the strongest cross-layer convergence, with SMR support in five of six tissues, fibroblast eMAGMA support (P = 8.34 × 10-10), hypertrophic-chondrocyte enrichment (z = 2.20), and localization to regulatory and inflammatory chondrocyte states. Independent validation showed modestly higher TCTN2 abundance in OA than in normal cartilage (delta = 0.45, P = 2.8 × 10-2), no high-grade-versus-low-grade cartilage shift (logFC = 0.053, FDR = 1.0), and strong OA-cartilage eQTL support in both low-grade and high-grade cartilage (q = 4.86 × 10-4 and 1.13 × 10-2). In ATDC5 cells, Tctn2 knockdown reduced expression to 0.21-fold of Mock and increased Col10a1, Mmp13, and Runx2 to 2.71-, 2.98-, and 3.53-fold, respectively, whereas overexpression and rescue reversed the same markers.
Conclusions:
This staged analysis nominates TCTN2 as a plausible candidate within an unresolved chr12 osteoarthritis locus; ATDC5 perturbation indicates that TCTN2 can modulate hypertrophic markers. Because the human-tissue association is directionally discordant, we present a locus-to-cell-state hypothesis rather than a complete genetics-to-mechanism chain, with cross-sectional shifts remaining modest and context-dependent.
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