sim.geno {qtl}R Documentation

Simulate genotypes given observed marker data


Uses the hidden Markov model technology to simulate from the joint distribution Pr(g | O) where g is the underlying genotype vector and O is the observed multipoint marker data, with possible allowance for genotyping errors.


sim.geno(cross, n.draws=16, step=0, off.end=0, error.prob=0, 


cross An object of class cross. See read.cross for details.
n.draws Number of simulation replicates to perform.
step Maximum distance (in cM) between positions at which the simulated genotypes will be drawn, though for step = 0, genotypes are drawn only at the marker locations.
off.end Distance (in cM) past the terminal markers on each chromosome to which the genotype simulations will be carried.
error.prob Assumed genotyping error rate used in the calculation of the penetrance Pr(observed genotype | true genotype).
map.function Indicates whether to use the Haldane, Kosambi, Carter-Falconer, or Morgan map function when converting genetic distances into recombination fractions.


After performing the forward-backward equations, we draw from Pr(g[1] = v | O) and then Pr(g[k+1] = v | O, g[k] = u).

In the case of the 4-way cross, with a sex-specific map, we assume a constant ratio of female:male recombination rates within the inter-marker intervals.


The input cross object is returned with a component, draws, added to each component of cross$geno. draws is array of size [n.ind x n.pos x n.draws] where n.pos is the number of positions at which the simulations were performed and n.draws is the number of replicates. Attributes "error.prob", "step", and "off.end" are set to the values of the corresponding arguments, for later reference.


Karl W Broman,

See Also

calc.genoprob, argmax.geno



fake.f2 <- sim.geno(fake.f2, step=2, n.draws=8)

[Package qtl version 0.98-57 Index]