loci.qtlnet {qtlnet}

QTL architecture per node as list

Description

Determines QTL that affect each phenotype conditional on the model-averaged network and on covariates.

Usage

loci.qtlnet(qtlnet.object, chr.pos = TRUE, merge.qtl = 10, ...)
est.qtlnet(qtlnet.object, ..., verbose = TRUE)

Arguments

qtlnet.object

Object of class qtlnet.

chr.pos

Include chromsome and position if TRUE.

merge.qtl

Merge QTL within merge.qtl cM of the mean QTL per chromosome across all nodes. No merge if 0 or less. This can reduce the number of QTL nodes to one per chr.

...

Additional unused arguments.

verbose

verbose output if TRUE.

Value

List containing, for each phenotype in the network, a character vector of the QTL names as chr@pos, or pseudomarker name if chr.pos is FALSE.

Author(s)

Brian S. Yandell and Elias Chaibub Neto

References

Chaibub Neto E, Keller MP, Attie AD, Yandell BS (2010) Causal Graphical Models in Systems Genetics: a unified framework for joint inference of causal network and genetic architecture for correlated phenotypes. Ann Appl Statist 4: 320-339. http://www.stat.wisc.edu/~yandell/doc/2010/92.AnnApplStat.pdf

See Also

mcmc.qtlnet

Examples

loci.qtlnet(Pscdbp.qtlnet)