Genmod Work | ((free))
typically refers to PROC GENMOD in SAS, a powerful tool used for fitting Generalized Linear Models (GLMs)
The GenMod Work Guide: Remix Reality, Rewrite the Rules
- Input: They begin with VCF files (Variant Call Formats) containing genetic sequences and PED files describing family relationships.
- Annotation: They use Genmod to annotate variants—checking databases to see if a specific genetic change is known to be harmful or benign.
- Filtering: Using Python scripts, they filter out common variants (assuming common variants are unlikely to cause rare severe diseases) to focus on the rare changes.
- Modeling: They define a model (e.g., "Autosomal Dominant, incomplete penetrance"). Genmod calculates the probability that the observed pattern of disease in the family matches the genetic model.
- Output: The result is a ranked list of genes and variants that are most likely to be the cause of the disease.
State the goal of the analysis. Example: To assess the relationship between predictor variables (e.g., age, treatment, genotype) and a binary/count/continuous outcome, accounting for non-normal error distributions using a Generalized Linear Model. genmod work