Other diseases, such as Charcot-Marie-Tooth (CMT), have multiple genetic causes.
For example, a common practice is to include only a single interaction model in the data [ 32- 39, 39, 41, 50], whereas common diseases are usually complex, with multiple genetic causes [ 28], suggesting that multiple interaction models should be present.
Our particular focus is on CMT, a rare disease which has multiple genetic causes and is classified into nine genetic subtypes (CMT1, CMT2, CMT3, CMT4, CMT5, CMT6, CMTDI, CMTRI and CMTX).
We would like to point out that, beyond the specific usage of our method outlined here, it could be applied in classifications task on other diseases with multiple genetic causes, such as cancer (van't Veer and Bernards, 2008).
The methods (excepting LR and MECPM) were previously reported as powerful on simulation data sets including only a single, strong ground-truth interaction, but our study included 5 interactions present in each data set to simulate multiple genetic causes for complex diseases.
It is possible for different ionic current alterations to combine to produce similar mesoscopic phenomena, and indeed our analysis of P2R is independent of specific mutations, which can be an advantage given that there may be multiple underlying genetic causes of BrS [ 6].
Multiple genetic disorders caused by mutations that affect the proteins lamin A and C show strong skin phenotypes.
In the past few years, multiple genetic etiologies causing this disease have been described.
Multiple genetic factors cause AMD, which is a complex retinal degenerative disorder.
Multiple genetic factors cause AMD, which can result in a loss of vision.
In the last 10 years it has become evident that human cancers have multiple genetic alterations caused by point mutations, recombinations, amplifications, and/or deletions.
