Get common QTLs for phenotypes
Perform joint QTL mapping for phenotypes with marginal LOD peak positions higher than LOD threshold and within set distance of each other
GetCommonQtls(cross, pheno1, pheno2, thr = 3, peak.dist = 5, addcov1 = NULL, addcov2 = NULL, intcov1 = NULL, intcov2 = NULL)
cross
: object of class cross
pheno1
: first phenotype column number or character string namepheno2
: second phenotype column number or character string name; if more than one, then all phenotypes will be tested against pheno1
thr
: LOD thresholdpeak.dist
: maximal peak distance to be considered the same peak (in cM)addcov1, addcov2
: additive covariates for first and second phenotype, respectivelyintcov1, intcov2
: interactive covariates for first and second phenotype, respectivelyChaibub Neto E, Broman AT, Keller MP, Attie AD, Zhang B, Zhu J, Yandell BS, Causal model selection hypothesis tests in systems genetics. Genetics (in review).
CMSTCross
data(CMSTCross) commqtls <- GetCommonQtls(CMSTCross, pheno1 = "y1", pheno2 = "y3", thr = 3, peak.dist = 5, addcov1 = NULL, addcov2 = NULL, intcov1 = NULL, intcov2 = NULL) commqtls