P-value and coefficients for covariate

[bsb2014]

In the following examples,

HLA_model <- glm(disease ~ term + sex + age, data = HLA, family = binomial)

HLA_results <- runMiDAS(
object = HLA_model,
experiment = "hla_alleles",
inheritance_model = "dominant",
lower_frequency_cutoff = 0.02,
upper_frequency_cutoff = 0.98,
correction = "bonferroni",
exponentiate = TRUE
)
Alternatively, an omnibus test for multiple HLA alleles

HLA_AA_omnibus_results <- runMiDAS(
HLA_model,
experiment = "hla_aa",
inheritance_model = "dominant",
conditional = FALSE,
omnibus = TRUE,
lower_frequency_cutoff = 0.02,
upper_frequency_cutoff = 0.98,
correction = "bonferroni"
)
In both cases, the output includes only the p-values or odds ratios (ORs) for the HLA alleles. My question is: Is it possible to output the p-values and ORs for the covariates (e.g., sex, age) as well?

Thanks!