Variables included in the models of the final steps of binary logistic regression analysis (forward LR method) in two datasets presorted according to phenotypes in male knockout mice (Dataset M) and men (Dataset H). For the variables included, see Methods and Data Sources. For the inference of false discovery rates, see Greither et al. (2020) at Privacy, Funding and Citation.
Testis-Expressed Genes Sorted Based on Mice (Dataset M)
Variable | B | S.E. | Wald | Exp(B) | False discovery rate |
---|---|---|---|---|---|
dN/dS | -2.091 | 0.616 | 11.530 | 0.124 | 0.012 |
RNA level relative to brain | 0.164 | 0.028 | 35.384 | 1.178 | 0.000 |
RNA level relative to heart | 0.174 | 0.025 | 47.784 | 1.190 | 0.000 |
number of neighbours in the PPI network which are male fertility candidates | 0.222 | 0.067 | 11.111 | 1.249 | 0.012 |
Testis-Expressed Genes Sorted Based on Humans (Dataset H)
Variable | B | S.E. | Wald | Exp(B) | False discovery rate |
---|---|---|---|---|---|
betweenness centrality | 174.433 | 61.593 | 8.020 | 5.694E+75 | 0.040 |
RNA level relative to brain | 0.170 | 0.052 | 10.704 | 1.185 | 0.012 |
RNA level relative to heart | 0.255 | 0.051 | 25.373 | 1.290 | 0.000 |
number of neighbours in the PPI network which are male fertility candidates | 0.809 | 0.243 | 11.140 | 2.247 | 0.012 |
Abbreviations used in above Tables: B, logit value; Exp(B), odds ratio; PPI, protein-protein interaction; S.E., standard error