Depending on the calculated mutation probability genetic counsellors can decide whether patients should undergo further analysis of microsatellite instability and immunohistochemistry. The model is recommended for patients with an age at colorectal cancer diagnosis of 55 or younger.
"MMRpredict" is a risk prediction model for patients with colorectal cancer (Barnetson et al. 2006). It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (overall probability) ...
Creators: Christoph Engel, Silke Zachariae
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: colorectal cancer
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The PREMM5 has been developed as a pretest to decide whether patients suspected of having Lynch syndrome should be tested for germline mismatch repair gene mutations. In contrast to "PREMM1,2,6" it can be used to predict mutation probabilities in unaffected index patients. "PREMM5" is a logistic regression model. It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2/EPCAM, MSH6 and PMS2 (for single genes and overall) based on the personal and familial cancer history ...
Creators: Silke Zachariae, Christoph Engel, Kastrinos et al.
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: hereditary breast ovarian cancer syndrome
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The PREMM1,2,6 has been developed as a pretest to decide whether patients suspected of having Lynch syndrome should be tested for germline mismatch repair gene mutations. "PREMM1,2,6" is a logistic regression model. It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (for single genes and overall) based on the personal and familial cancer history of the proband (colorectal, endometrial, and other Lynch syndrome related cancers).
Creators: Silke Zachariae, Christoph Engel, Kastrinos et al.
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: hereditary breast ovarian cancer syndrome
Investigations: No Investigations
Studies: No Studies
Resources: No Resources