mppGE_QTL_effects: MPP GxE QTL genetic effects

In vincentgarin/mppGxE: MPP GxE QTL analysis

MPP GxE QTL genetic effects

Description

Compute MPP GxE QTL genetic effects

Usage

mppGE_QTL_effects(
  mppData,
  trait,
  Q.eff = "cr",
  VCOV = "CS_CSRT",
  QTL = NULL,
  workspace = 8e+06
)

Arguments

mppData	An object of class mppData.
trait	Character vector specifying which traits (environments) should be used.
Q.eff	Character expression indicating the assumption concerning the QTL effects: 1) "cr" for cross-specific; 2) "par" for parental; 3) "anc" for ancestral; 4) "biall" for a bi-allelic. Default = "cr".
VCOV	VCOV Character expression defining the type of variance covariance structure used. "ID" for identity, "CSRT" for within environment cross-specific residual terms, "CS_CSRT" for compound symmetry with within environment cross-specific residual terms. Default = "CS_CSRT".
QTL	Object of class QTLlist representing a list of selected marker positions obtained with the function QTL_select() or a vector of character marker positions names. Default = NULL.
workspace	Size of workspace for the REML routines measured in double precision words (groups of 8 bytes). The default is workspace = 8e6.

Value

Return:

Qeff	List of data.frame (one per QTL) containing the following information: QTL genetic effects Standard error of the QTL effects. Test statistics of the effects (t-test or Wald statistic). P-value of the test statistics. Significance of the QTL effects.

Author(s)

Vincent Garin

Examples

library(asreml)

data(mppData_GE)

Qpos <- c("PZE.105068880", "PZE.106098900")

Qeff <- mppGE_QTL_effects(mppData = mppData_GE, trait = c('DMY_CIAM', 'DMY_TUM'),
                          Q.eff = 'par', QTL = Qpos)

Qeff

vincentgarin/mppGxE documentation built on June 25, 2022, 2:45 p.m.