Proteomic ratio reveals subtype-specific genetic mechanisms and therapeutic targets in osteoarthritis.

In contrast, the analyses of finger OA, hand OA, spine OA, and thumb OA showed that most rQTLs had odds ratios (ORs) close to 1, and the FDR-adjusted p-values failed to achieve significance.

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Thus, the same SNP can be silent in a pQTL catalog yet highly significant in an rQTL map, underscoring that the functional meaning of a polymorphism is defined by the phenotype we choose to measure.

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A larger F statistic indicates that a larger proportion of the variance is explained by the model relative to the variance that remains unexplained, suggesting that the predictors are likely to be significant.

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