loci.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
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.
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
.
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
Examples
Run this code# NOT RUN {
loci.qtlnet(Pscdbp.qtlnet)
# }
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