sim_disease: Simulation of disease parameters
In Best-Nicklas/Dataprojekt: Simulation and Analysis of Genetic Data

sim_disease

R Documentation

Simulation of disease parameters

Description

This function is used to simulate disease parameters. If not predetermined, the function will randomly calculate causal SNPs, MAF values and beta values.

Usage

sim_disease(
  n_snp,
  prevalence,
  h2,
  causal = NULL,
  causal_n = max(1, round(n_snp/10)),
  maf = NULL,
  maf_low = 0.01,
  maf_high = 0.49
)

Arguments

`n_snp`	Integer specifying amount of SNPs.
`prevalence`	Number specifying prevalence of disease in the population.
`h2`	Number specifying heritability parameter.
`causal`	Vector of predetermined causal SNPs (0 if not causal, 1 if causal). Leave empty to get random causal SNPs.
`causal_n`	Integer specifying amount of causal SNPs if no causal param given. Default value is 10 procent of total SNPs.
`maf`	Vector of predetermined Minor Allele Frequencies. Leave empty to get random MAF.
`maf_low`	Number specifying lower bound for MAF if none given.
`maf_high`	Number specifying upper bound for MAF if none given.