Below tables report the variables included in the logistic regression models (forward LR method) upon categorization according to fertility phenotypes in male knockout mice (Murine Phenotypes) and men (Human Phenotypes). For the variables included, see Methods & Data.
Regression Including Murine Phenotypes
| Variable | B | S.E. | Wald | Exp(B) | False discovery rate |
|---|---|---|---|---|---|
| dN/dS | -2.091 | 0.616 | 11.530 | 0.124 | <0.05 |
| RNA level in testis relative to brain | 0.164 | 0.028 | 35.384 | 1.178 | <0.001 |
| RNA level in testis relative to heart | 0.174 | 0.025 | 47.784 | 1.190 | <0.001 |
| Number of neighbours in the protein-protein interaction network which are male fertility candidates | 0.222 | 0.067 | 11.111 | 1.249 | <0.05 |
Regression Including Human Phenotypes
| Variable | B | S.E. | Wald | Exp(B) | False discovery rate |
|---|---|---|---|---|---|
| betweenness centrality | 174.433 | 61.593 | 8.020 | 5.694E+75 | <0.05 |
| RNA level in testis relative to brain | 0.170 | 0.052 | 10.704 | 1.185 | <0.05 |
| Testicular RNA level in testis relative to heart | 0.255 | 0.051 | 25.373 | 1.290 | <0.001 |
| Number of neighbours in the protein-protein interaction network which are male fertility candidates | 0.809 | 0.243 | 11.140 | 2.247 | <0.05 |
Reference: Thomas Greither, Julia Schumacher, Mario Dejung, Hermann M Behre, Hans Zischler, Falk Butter, Holger Herlyn (2020) Fertility relevance probability analysis shortlists genetic markers for male fertility impairment. Cytogenetic and Genome Research DOI: 10.1159/000511117