Genetic risk score (GRS) is used for evaluating the effects of genetic susceptible factors in
risk prediction models.Five
methods are commonly used for GRSi.e.simple count
genetic risk score (SC-GRS),
odds ratio weighted
genetic risk score (OR-GRS),direct
logistic regression genetic risk score (DL-GRS),polygenic
genetic risk score (PG-GRS) and explained variance weighted
genetic risk score (EV-GRS).This
paper summarizes the models,application conditions,advantages and limitations of the five
methods.The complexity of prediction models increased along with the inclusion of more susceptible
SNPs,some
method have been developed to solve the problems,but the effects of new
methods needs further evaluation.