Table 3. Multivariate regression model analysis of HGPS based on the novel skin & blood clock.
| Outcome: DNAmAge (SkinClock) | ||||||
| Data: All, n=88 | Data: Age<10, n=44 | |||||
| Covariate | Coef | St. Error | P-value | Estimate | SE | P-value |
| Intercept | -3.55 | 2.99 | 2.39E-1 | 7.34 | 2.97 | 1.84E-2 |
| Age | 1.64 | 1.29E-1 | 3.44E-20 | -5.90E-1 | 8.33E-1 | 4.84E-1 |
| Age^2 | -1.07E-2 | 2.08E-3 | 2.14E-6 | 2.40E-1 | 9.58E-2 | 1.70E-2 |
| Fibroblast Population Doubl. Level | 4.46E-1 | 1.65E-1 | 8.52E-3 | -1.20E-1 | 1.32E-1 | 3.71E-1 |
| HGP.Disease | 4.81 | 2.27 | 3.76E-2 | 5.18 | 1.25 | 2.12E-4 |
DNAm age is regressed on chronological age, the square of age, the population doubling level of the fibroblast cell culture, and HGPS disease status. The table reports estimate of the regression coefficients and corresponding standard errors, Wald test P-values. The left panel and right panel report the results for all n=88 fibroblast samples and for n=44 samples from children (younger than 10 years old), respectively.