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Release information for wgaim

Changes in version 2.0-6

Version 2.0-6 of wgaim is a minor maintenance release to fix CRAN build warnings.

Changes in version 2.0-x

New Features

• Version 2.0-x of wgaim is here and it celebrates a updated release of the package that utilizes the linear mixed modelling functionality of the R package ASReml-R V4. It should be noted that this version of wgaim is not compatible with ASReml-R V3 and users should revert to version 1.4-11 if a compatible version is required. Within this new version of wgaim there have been many subtle changes to functions and their arguments. Most of these changes have been documented below.
• The code in the main calling function wgaim.asreml() has been significantly streamlined for better integration with new features of ASReml-R V4. Many adjunct wgaim functions such as mergeData() and updateWgaim() have been removed. Model updating now occurs directly using update.asreml().
• To ensure consistency between the phenotypic data used in fitting the base model and the phenotypic data used in wgaim.asreml(), the phenoData argument has been removed from the wgaim.asreml call. The data is now recalled through backwards evaluation of the base model call.
• The wgaim can now handle "f2" cross objects. This includes the appropriate imputation of missing allele values through the functionality of cross2int().
• Some of the cross2int() functions arguments have been changed to more appropriately reflect the nature of the task being implemented. Specifically, argument missgeno has been changed to impute and rem.mark has been changed to consensus.mark.
• All link.map.xxx functions have changed to linkMap.xxx for better naming consistency with S3 methods.
• The out.stat function has changed to outStat and has been completely rewritten to use ggplot2 functionality. See ?outStat for complete details.
• A vignette title “An Quick Introudction to wgaim QTL Analysis” is available with the package and can be viewed using: vignette("wgaim_intro")

Bug Fixes

• Fixed a chromosome labelling issue with outStat(). The fix now ensures any graphic generated with the function produces the correct chromosome labels in the appropriate position.
• Fixed a bug that caused the algorithm to crash when there is only one marker on a chromosome and the argument gen.type = "interval" is used in wgaim.asreml().
• Fixed a bug that caused the algroithm to crash when the number of markers in the model changes from being greater than the number of lines to less than the number of lines (after selection and exclusion).
• Fixed a bug that caused summary.wgaim() when only one QTL was found.
• Removed maxiter = 1 from internal predict.asreml() to prevent spurious output of non-convergence warnings.
• The use of “.” in the chromosome names muddles regular expression string matching in parts of the wgaim call. There is now code in cross2int() to remove “.”s from any chromosome names.
• Flanking marker highlighting in linkMap.wgaim() was incorrect and has been amended.

Changes in version 1.4-x

New Features

• Restrictions on the layout of the plots in out.stat() have been removed.
• The argument flanking has been added to the QTL plotting functions ro ensure that only flanking markers or linked markers are plotted and highlighted on the linkage map.
• The forward selection algorithm has been accelerated further by smart matrix decomposition of the relationship matrix. Users can expect around a 35% reduction in computation time.
• Outlier statistics and BLUPs can now be returned for any iteration of the algorithm regardless of whether a significant QTL is detected. This now allows easy access to outlier statistics and BLUPs for the first iteration when no QTL are detected (see the breakout argument of wgaim.asreml().
• The package now includes a PDF reference manual that is accessible by navigating to the "doc" directory of the package. This can be found on any operating system using the command

> system.file("doc", package = "wgaim")

The reference manual contains WGAIM theory and two thorough examples that show the features of the package. It also contains a “casual walk through” the package providing the user with a series of 5 steps to a successful wgaim analysis. - The package now includes three fully documented phenotypic and genotypic data sets for users to explore. Two of these three have been used in the manual and scripts that follow the examples in the manual are available under the “doc” directory of the package. - The package now provides very efficient whole genome QTL analysis of high dimensional genetic marker data. All genetic marker data is passed into wgaim.asreml() through the "intervalObj" argument. Merging of genotypic and phenotypic data occurs within wgaim.asreml(). - wgaim.asreml() has several new arguments related to selection of QTL. The "gen.type" argument allows the user to choose a whole genome marker analysis or whole genome mid-point interval analysis from Verbyla et. al (2007). The "method" argument gives you the choice of placing QTL in the fixed part of the linear mixed model as in Verbyla et.al (2007) or the random part of model as in Verbyla et. al (2012). Finally, the "selection" argument allows you to choose whether QTL selection is based on whole genome interval outlier statistics or a two stage process of using chromosome outlier statistics and then interval outlier statistics. - A "breakout" argument is now also provided which allows the user to breakout of the forward selection algorithm at any stage. The current model along with any calculated QTL components are all available for inspection. - All linkage map plotting functions can be subsetted by predefined distances. This includes a list of distances as long as the number of linkage groups plotted.

Bug Fixes

• Fixed a bug that created 0s for NAs in linkage groups with one marker.
• Fixed a bug that caused wgaim.asreml() to bomb out if the number of markers was less than the number of genotypes.
• Fixed a bug that outputted warning messages regarding a NaN calculation from sqrt(vatilde) in qtl.pick().
• Fixed a bug that caused wgaim to crash if method = "random" was used with the new version of asreml.
• Fixed a bug that caused wgaim to crash with very recent versions of asreml (04/05/2015).
• cross2int() now accepts R/qtl objects with cross type "bc","dh","riself".
• Fixed an issue with the internal function fix.map() that allowed some co-located sets of markers to appear in the final reduced linkage map.
• Fixed a long standing scoping issue with different versions of ASReml-R.
• Fixed an elusive problem that causes wgaim models to increase the size of your .RData upon saving. This is actually an inherent problem with using model formula within a function a returning the subsequent model. There is now a function at the very tail of wgaim.asreml() that quietly destroys the useless environments that these formula contain.
• Fixed bug that caused wgaim.asreml() to crash when no QTL were found.
• Fixed bug that caused summary.wgaim() to crash when one QTL was found using method = "random".

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They may not be fully stable and should be used with caution. We make no claims about them.
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