Table 3. Results of Bayesian model analysis.
| Lipid | Model | Probability | Bayes factor |
|---|---|---|---|
| HDL-C | BMI SDS | 91.89 | 371265 |
| HDL-C | age, BMI SDS | 3.08 | 1041 |
| HDL-C | rs4420638dom, BMI SDS | 0.99 | 329 |
| LDL-C | rs599839rec, rs4420638rec | 53.49 | 37691 |
| LDL-C | rs599839rec, rs4420638rec, BMI SDS | 22.88 | 9720 |
| LDL-C | rs4420638rec | 7.65 | 2714 |
| LDL-C | rs4420638rec, BMI SDS | 4.62 | 1586 |
| LDL-C | rs599839rec | 2.54 | 855 |
| LDL-C | rs599839dom, rs4420638rec | 1.03 | 340 |
| LDL-C | rs599839rec, rs4420638rec, age | 0.8 | 266 |
| LDL-C | rs599839rec, rs4420638rec, rs6102059dom | 0.77 | 254 |
| LDL-C | rs599839rec, BMI SDS | 0.74 | 244 |
| LDL-C | null | 0.56 | 186 |
| TG | age, BMI SDS | 90.47 | 311171 |
| TG | rs3812316dom, age, BMI SDS | 3.66 | 1247 |
| TG | BMI SDS | 2.55 | 856 |
Possible models of HDL-C, LDL-C, TG can contain up to 15 covariables (age, sex, BMI SDS, dominant and recessive effect of six SNPs). We present most probable models, corresponding posterior probabilities and Bayes factors. Models are ranked according to their plausibility. A cumulative probability of 95% served as cut-off for model presentation.