The goal of 'gnonadd' is to simplify workflows in the analysis of non-additive effects of sequence variants. This includes variance effects (Ivarsdottir et. al (2017)
gnonadd is a package accompanying the paper Complex effects of
sequence variants on lipid levels and coronary artery
disease published in Cell
September 2023. The package is intended to properly document the
conducted analysis and aid researchers in studying various non-additive
models.
The goal of the gnonadd package is to simplify workflows with
non-additive analysis in genetic associations.
This includes e.g.
The following is a non-comprehensive summary of the included functions:
alpha.calc function to compute multiplicative variance effectsalpha.cond function to do conditional analysis of variance effectskappa_calc function to compute correlation effects (gt/pheno/pheno)Var.assoc Testing variance scores associations with dataPlease refer to the documentation for examples with simulated data.
You can install the latest version of the package via the remotes
package:
# Use remotes:
remotes::install_github("DecodeGenetics/gnonadd")
The current version on CRAN can be installed with:
install.packages("gnonadd")
For citing this package, please use the following source:
citation("gnonadd")
#> To cite gnonadd in publications, please use
#>
#> Snaebjarnarson, Audunn S., et al. Complex effects of sequence
#> variants on lipid levels and coronary artery disease. Cell 186.19
#> (2023): 4085-4099.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Article{,
#> journal = {Cell},
#> volume = {186},
#> number = {19},
#> pages = {4085--4099},
#> year = {2023},
#> author = {{Snaebjarnarson} and Audunn S and {Helgadottir} and {Anna} and {Arnadottir} and Gudny A and {Ivarsdottir} and Erna V and {Thorleifsson} and {Gudmar} and {Ferkingstad} and {Egil} and {Einarsson} and {Gudmundur} and {Sveinbjornsson} and {Gardar} and {Thorgeirsson} and Thorgeir E and {Ulfarsson} and Magnus O and others},
#> title = {Complex effects of sequence variants on lipid levels and coronary artery disease},
#> publisher = {Elsevier},
#> }