Despite considerable insight from GWAS and sequencing studies, much of late-onset Alzheimer’s Disease (LOAD) heritability remains unexplained leading to uncertain risk stratification of patients and no available disease-modifying therapies. To date, the APOE gene remains the strongest genetic risk factor for LOAD. Carriers of the APOEɛ4 allele are at a greater risk, while the APOEɛ2 allele plays a protective role. However, many APOEɛ4 carriers remain disease-free and some APOEɛ2 carriers develop LOAD.
iDEAL, or imputed Deviation of Evolutionary Action Load, is a novel approach that identifies genes with differential mutational burden between the two paradoxical patient groups through a series of linear regression analyses.
- Linux or OSx
- Anaconda
- Python 3.6+
git clone https://github.com/semper21/iDEAL_AD.git
conda env create -f environment.yml