Table 2.
Parameter estimates from Bayesian variable selection regression for each pairwise analysis
| Analyses | PVE | σSNP | σSNP_BF | nSNP | nSNP_BF | PIP SNP |
|---|---|---|---|---|---|---|
| MAR-TRI | 0.6429 (0.031–0.998) | 1.1200 (0.0570–5.559) | 3.4300 (0.8475–11.8320) | 67 (1–268) | 12 (2–31) | 0.366 (0.0320–0.0465) |
| MAR-TYP | 0.6018 (0.027–0.995) | 0.949 (0.0520–4.0220) | 2.4070 (0.8531–7.2788) | 63 (1–264) | 9 (2–26) | 0.0345 (0.0303–0.0418) |
| TRI-TYP | 0.6515 (0.035–0.996) | 0.9776 (0.0570–4.4040) | 4.1420 (0.6660–8.7020) | 66 (1–263) | 10 (2–25) | 0.0361 (0.0320–0.0448) |
Proportion of variance explained (PVE); mean phenotypic effect associated with a SNP in the regression model including all models (σSNP) and models with a log10(BF) > 10 (σSNP_BF); mean number of SNPs in the model considering all models (nSNP) and models with a log10(BF) > 10 (nSNP_BF) and; mean posterior inclusion probability associated to SNPs in the model (PIP). 95% empirical quantiles are reported in parenthesis