Table 3.
Percent of variance explained (R2) based on the general linear modeling, where serum uric acid was the predicted variable, while different predictors were used in each model
| Site | Model 1 (age and sex)* | Model 2 (genetic risk score) | Model 3 (single single-nucleotide polymorphisms) | Model 4 (age, sex, study site, and genetic risk score)* |
|---|---|---|---|---|
| Vis: |
||||
| women |
7.7 |
3.9 |
0.0-2.0 |
11.2 |
| men |
0.2 |
0.1 |
0.0-0.1 |
0.2 |
| total |
17.4 |
1.5 |
0.0-1.7 |
18.9 |
| Korčula: |
||||
| women |
10.5 |
4.9 |
0.0-1.7 |
16.9 |
| men |
0.2 |
2.5 |
0.0-1.1 |
2.3 |
| total |
25.3 |
2.6 |
0.0-1.6 |
30.8 |
| Split: |
||||
| women |
3.4 |
4.5 |
0.0-1.8 |
7.9 |
| men |
0.3 |
0.8 |
0.0-0.6 |
0.5 |
| total |
19.2 |
2.4 |
0.0-1.4 |
21.4 |
| Pooled analysis: |
||||
| women |
8.1 |
3.9 |
0.0-1.6 |
17.5 |
| men |
0.1 |
0.7 |
0.0-1.0 |
1.1 |
| total | 20.1 | 1.8 | 0.0-1.7 | 30.9 |
*Sex was removed as predictor variable from the sex-stratified models; study site was also used as a predictor variable in the pooled analysis of all three samples in order to adjust for the potential differences among the populations.