Table 1. Estimates of variance explained by SNPs selected at different significance levels.
Threshold | QIMR (n = 3,924) | FRAM (n = 1,145) | TwinGene (n = 5,668) | WTCCC-T2D (n = 1,914) | B-PROOF(n = 2,555) | a Weighted average | b Pred. | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||
#SNP | h2g | SE | #SNP | h2g | SE | #SNP | h2g | SE | #SNP | h2g | SE | #SNP | h2g | SE | h2g | SE | h2g | |
5E-8 | 675 | 0.164 | 0.016 | 656 | 0.190 | 0.040 | 670 | 0.159 | 0.013 | 679 | 0.143 | 0.025 | 691 | 0.152 | 0.021 | 0.159 | 0.008 | 0.149 |
5E-7 | 887 | 0.187 | 0.017 | 862 | 0.210 | 0.045 | 866 | 0.170 | 0.013 | 890 | 0.184 | 0.028 | 886 | 0.162 | 0.022 | 0.176 | 0.009 | 0.166 |
5E-6 | 1245 | 0.196 | 0.018 | 1202 | 0.207 | 0.050 | 1186 | 0.188 | 0.014 | 1256 | 0.201 | 0.030 | 1232 | 0.175 | 0.024 | 0.190 | 0.009 | 0.186 |
5E-5 | 1950 | 0.212 | 0.020 | 1891 | 0.183 | 0.060 | 1918 | 0.208 | 0.015 | 1985 | 0.208 | 0.037 | 1947 | 0.194 | 0.029 | 0.206 | 0.010 | 0.218 |
5E-4 | 3754 | 0.248 | 0.024 | 3671 | 0.239 | 0.080 | 3689 | 0.239 | 0.017 | 3771 | 0.201 | 0.047 | 3661 | 0.248 | 0.037 | 0.240 | 0.013 | 0.259 |
5E-3 | 9693 | 0.297 | 0.035 | 9403 | 0.171 | 0.126 | 9548 | 0.287 | 0.025 | 9677 | 0.267 | 0.070 | 9174 | 0.341 | 0.055 | 0.292 | 0.018 | 0.339 |
cHM3 | 1.08M | 0.473 | 0.086 | 1.06M | 0.313 | 0.291 | 1.12M | 0.522 | 0.060 | 0.97M | 0.534 | 0.170 | 1.09M | 0.463 | 0.126 | 0.498 | 0.044 |
The estimates from all the five cohorts were averaged by the inverse-variance approach i.e. Σi (h2g(i)/SE2i)/Σi (1/SE2i);
the predicted variance explained by the selected SNPs (Vg) from the within-family prediction analysis;
SNPs from HapMap3 project11.