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. 2018 Jun 1;10(6):1546–1553. doi: 10.1093/gbe/evy112

Table 2.

The Details of Regression Models (supplementary table S9, Supplementary Material online) in Which the Gene’s Transformed TPM Expression Value (The Dependent Variable) Was Significantly Associated with a MEI (P <0.01)

Model
(1) E[log2(WBSCR17i + 1)] = 0.432 + 1.101 * Cfa6.7i + 0.6 * Ri + 0.374 * PC1i – 0.099 * PC2ia
Estimate Std. Error t Value P-value
(Intercept) 0.432 0.163 2.655 0.0161
Locus 1.101 0.264 4.176 0.000568
RNAseq2 0.600 0.230 2.609 0.0178
PC1 0.374 0.500 0.751 0.4626
PC2 −0.099 0.468 −0.211 0.8354
(2) E[log2 (WBSCR27i + 1)] = 0.854 − 0.637 * Cfa6.66i + 0.552 * Ri – 1.074 * PC1i – 0.406 * PC2ia
Estimate Std. Error t Value P-value
(Intercept) 0.854 0.217 3.929 0.0010
Locus −0.637 0.199 −3.200 0.00499
RNAseq2 0.552 0.243 2.268 0.0359
PC1 −1.074 0.555 −1.933 0.0691
PC2 −0.406 0.552 −0.736 0.4713
(3) E[log2(RPL37i + 1)] = 3.029 + 1.944 * Cfa6.24i + 3.355 * Ri – 2.168 * PC1i – 0.921 * PC2ia
Estimate Std. Error t Value P-value
(Intercept) 3.029 0.624 4.851 0.0001
Locus 1.944 0.456 4.262 0.000469
RNAseq2 3.355 0.488 6.880 0.000002
PC1 −2.168 1.240 −1.748 0.0975
PC2 −0.921 1.113 −0.827 0.4189
(4) E[log2(LIMK1i + 1)] = 0.123 + 0.420 * Cfa6.7i + 0.153 * Ri – 0.326 * PC1i – 0.352 * PC2ia
Estimate Std. Error t Value P-value
(Intercept) 0.123 0.084 1.469 0.1592
Locus 0.420 0.136 3.085 0.00638
RNAseq2 0.153 0.119 1.288 0.2141
PC1 −0.326 0.257 −1.266 0.2217
PC2 0.352 0.241 1.459 0.1617
(5) E[log2 (BCL7Bi + 1)] = 2.218 − 0.582 * Cfa6.9i + 0.497 * Ri + 1.077 * PC1i – 0.916 * PC2ia
Estimate Std. Error t Value P-value
(Intercept) 2.218 0.350 6.345 0.00001
Locus −0.582 0.193 −3.011 0.00751
RNAseq2 0.497 0.197 2.529 0.0210
PC1 1.077 0.399 2.697 0.0147
PC2 0.916 0.383 2.389 0.0280
(6) E[log2(BAZ1B2i + 1)]% = -0.215 + 1.44Cfa6.41i + 0.227Ri + 1.936PC1i – 0.996PC2ia
Estimate Std. Error t Value P-value
(Intercept) −0.215 0.392 −0.548 0.5902
Locus 1.440 0.492 2.926 0.00901
RNAseq2 0.227 0.507 0.447 0.6599
PC1 1.936 1.292 1.498 0.1515
PC2 −0.996 1.099 −0.906 0.3768

NOTE.—Additional covariates were included adjust for potential confounding: two principle components (PC1 and PC2) to account for genetic structure and RNA-seq method (R) to account for batch effects. All models except model 3 (log2(RPL37i + 1)) demonstrate a good fit with the underlying modeling assumptions.

a

Equations represent the expected log2 (TPM + 1) value for wolf i as predicted by the locus and additional coefficients.

%

BAZ1Bi= ENSCAFT00000046458.2.