p0G_Func: Probability Calculation of Relative's Mutation Status

In GSSE: Genotype-Specific Survival Estimation

Description

This function is used to calculate the probability of a relative being a carrier.

Usage

p0G_Func (p, status, relative, model)

Arguments

p	population frequency of mutation.
status	proband's carrier status (status = 0, non-carrier; = 1, homozygous; = 2, heterozygous).
relative	relative's relationship to the proband (relative = 1, parents; = 2, sibling; = 3, offspring).
model	assumed genetic model ("dominant" or "recessive").

Details

Technical details can be found in Wang et al. (2008).

Value

The function p0G_Func returns the probability of a relative being a carrier under the given genetic model.

References

Wang, Y., Clark, L. N., Louis, E. D., Mejia-Santana, H., Harris, J., Cote, L. J., ... & Marder, K. (2008). Risk of Parkinson disease in carriers of parkin mutations: estimation using the kin-cohort method. Archives of neurology, 65(4), 467-474.

Wang, Y., Liang, B., Tong, X., Marder, K., Bressman, S., Orr-Urtreger, A., Giladi, N. & Zeng, D. (2015). Efficient estimation of nonparametric genetic risk function with censored data. Biometrika, 102(3), 515-532.

See Also

p0G_data, Sieve_NPMLE_Switch(), Sieve_NPMLE_Bootstrap(), EM_PAVA_Func() and

Permutation_Test().

Examples

#  Example 1  #

 data("p0G_data");
 attach(p0G_data);

 n = dim(p0G_data)[1];
 Status = as.numeric( proband_pd == "Yes" );
 Relative = rep(1, n) + 1*(relative == "Sibling") + 2*(relative == "Child");

 detach(p0G_data);

 p0G = rep(0, n);

 for(i in 1:n)
 {
  p0G[i] = p0G_Func(p = 0.02, status = Status[i], relative = Relative[i], model="dominant");
 }

 data.frame(pd_status = Status, relatives = Relative, prob = p0G);

#  Example 2  #

 n = 50;
 status = sample(x=c(0,1), size = n, replace = TRUE, prob = c(0.6, 0.4) );
 relative = sample(x=1:3, size = n, replace = TRUE, prob = c(1/3, 1/3, 1/3) );

 p0G = rep(0, n);

 for(i in 1:n)
 {
  p0G[i] = p0G_Func(p = 0.2, status = status[i], relative = relative[i], model="dominant");
 }

 data.frame(status = status, relative = relative, p0G = p0G);

GSSE documentation built on May 2, 2019, 12:40 p.m.