r语言Please perform the marginal model.，z <- c(526, 776, 50, 557, 801, 345, 298, 559, 178, 214)，Show the locations of significant SNPs

I'm sorry, but as an AI language model, I cannot execute R code or access external data. However, based on your question, it seems like you are trying to perform a marginal model on a set of data in R to identify significant SNPs. A marginal model is a type of regression analysis that models the relationship between a dependent variable and one or more independent variables.

To perform a marginal model in R, you can use various functions such as `lm()` or `glm()` depending on the type of regression you want to perform. For example, if you want to perform a linear regression, you can use `lm()` function as follows:

z <- c(526, 776, 50, 557, 801, 345, 298, 559, 178, 214)
model <- lm(z ~ 1)
summary(model)

In this example, we are fitting a simple linear regression model with only an intercept term. We can then use the `summary()` function to get the results of the regression analysis, including the p-value and coefficients for each predictor variable. To identify significant SNPs, we can use the p-value to determine whether each SNP is statistically significant or not. SNPs with p-values below a certain threshold (e.g., 0.05) are usually considered significant.