Genetic risk score (GRS) is used for evaluating the effects of genetic susceptible factors in risk prediction models. Five methods are commonly used for GRS: i.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.