Table 1. Top predictions for Catapult.
| Leukemia | Alzheimer disease | Insulin resistance | Prostate cancer |
| MIM:601626 | MIM:104300 | MIM:125853 | MIM:176807 |
| FGFR3 (2261) | ACE2 (59272) | INSR (3643) | TP53 (7157) |
| FGFR2 (2263) | COL1A1 (1277) | INS (3630) | RB1 (5925) |
| KRAS (3845) | COL1A2 (1278) | PTEN (5728) | CTNNB1 (1499) |
| TP53 (7157) | KRAS (3845) | TP53 (7157) | BRCA1 (672) |
| EGFR (1956) | EGFR (1956) | CTNNB1 (1499) | KRAS (3845) |
| FGFR1 (2260) | TP53 (7157) | KRAS (3845) | PIK3CA (5290) |
| PTPN11 (5781) | AGT (183) | AKT1 (207) | AKT1 (207) |
| CTNNB1 (1499) | PLAT (5327) | CREBBP (1387) | INSR (3643) |
| INSR (3643) | APOE (348) | EGFR (1956) | NRAS (4893) |
| CREBBP (1387) | PTGS2 (5743) | PIK3CA (5290) | RAD51 (5888) |
Top 10 predictions not in the training set by Catapult for the eight OMIM phenotypes with the highest number of gene associations. Any gene which is among the top 10 candidates for more than one disease is marked in bold. Catapult does make a great number of very reasonable predictions as observed below. For example, it seems quite likely that both insulin receptor (INSR, 3643) and insulin (INS, 3630) should be associated with insulin resistance, and that many growth factor receptors have been associated with various cancers.