TABLE 4.
γ0 | γ1 | σ | β0 | β1* | α | ||
---|---|---|---|---|---|---|---|
EM§: | |||||||
COL5A2 | estimate: | −0.377 | −0.00914 | 1.118 | 3.126 | −0.354 | 1.162 |
std err: | 0.179 | 0.00735 | − | 0.0346 | 0.0713 | − | |
test stat: | −2.113 | −1.243 | − | 90.450 | −4.970 | − | |
p-value: | 0.0346 | 0.214 | − | < 0.001 | < 0.001 | − | |
PDIA5 | estimate: | −0.256 | −0.00100 | 1.122 | 5.654 | 0.0904 | 4.003 |
std err: | 0.413 | 0.00128 | − | 0.0415 | 0.0285 | − | |
test stat: | −0.784 | −0.619 | − | 136.104 | 3.176 | − | |
p-value: | 0.536 | 0.433 | − | < 0.001 | 0.002 | − | |
LRRC16A | estimate: | 4.362 | 0.00118 | 1.501 | 5.0286 | −0.288 | 3.281 |
std err: | 0.346 | 0.00184 | − | 0.132 | 0.0370 | − | |
test stat: | 12.609 | 0.656 | − | 38.049 | −7.781 | − | |
p-value | < 0.001 | 0.523 | − | < 0.001 | < 0.001 | − | |
Regression Imputation: | |||||||
CoL5A2 | estimate: | 1.966 | −0.119 | 1.075 | 3.123 | −0.343 | 1.160 |
std err: | 0.638 | 0.0297 | − | 0.0346 | 0.0726 | − | |
test stat: | 3.083 | −4.015 | − | 90.917 | −4.726 | − | |
p-value: | 0.002 | < 0.001 | − | < 0.001 | < 0.001 | − | |
PDIA5 | estimate: | 0.529 | −0.00348 | 1.120 | 5.651 | 0.0913 | 4.002 |
std err: | 0.920 | 0.00290 | − | 0.0415 | 0.0284 | − | |
test stat: | 0.575 | −1.203 | − | 158.692 | 2.937 | − | |
p-value: | 0.566 | 0.231 | − | < 0.001 | 0.002 | − | |
LRRC16A | estimate: | 4.166 | 0.00228 | 1.491 | 5.039 | −0.288 | 3.280 |
std err: | 0.530 | 0.00292 | − | 0.131 | 0.0370 | − | |
test stat: | 7.859 | 0.780 | − | 38.509 | −7.789 | − | |
p-value | < 0.001 | 0.436 | − | < 0.001 | < 0.001 | − |
Coefficient estimates and standard errors are based on application of the EM strategy using a convergence criterion of < 1 × 10−6. Convergence is reached at 34 iterations for COL5A2, 71 iterations for PDIA5 and 34 iterations for LRCC16A.
The coefficient estimate and corresponding standard error is reported for the strongest signal SNP within each gene (rs9467471 for LRCC16A; rs836861 for PDIA5).