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