From b5d3b214341c58c92f57af5a66f6fadd2d6c3a0f Mon Sep 17 00:00:00 2001 From: wletsou <104658829+wletsou@users.noreply.github.com> Date: Fri, 24 Feb 2023 14:18:36 -0500 Subject: [PATCH] Update resources.md --- _pages/resources.md | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/_pages/resources.md b/_pages/resources.md index d7c9f3d3643d..45e31f1095d0 100644 --- a/_pages/resources.md +++ b/_pages/resources.md @@ -1,5 +1,21 @@ --- -layout: "page" +layout: "single" title: "Resources" permalink: /resources/ --- + +Check out some of these links for additional information about GWAS: + +* [An overview of GWAS and linear mixed models](https://www.tau.ac.il/~saharon/ccGWAS.pdf) +* [A tutorial on PCA](https://www.cs.cmu.edu/~elaw/papers/pca.pdf) +* [The 1000 Genomes Project](https://www.internationalgenome.org/data) +* [The sim1000G paper for simulating individuals from a population](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2611-1) and [a tutorial by the authors](https://cran.r-project.org/web/packages/sim1000G/vignettes/SimulatingFamilyData.html) +* [The original KING paper for estimating kinship](https://academic.oup.com/bioinformatics/article/26/22/2867/228512?login=false) +* [The PC-AiR method for finding an ancestry-representative subset](https://pubmed.ncbi.nlm.nih.gov/25810074/) +* [The PC-Relate method for correcting PCA estimates for recent shared genetic ancestry](https://pubmed.ncbi.nlm.nih.gov/26748516/) +* Other modules for conducting GWAS in R using [GENESIS](https://rpubs.com/karlkeat/gwastools): + * [GWAS using GENESIS](https://rpubs.com/karlkeat/gwastools) + * [Population stratification using GENESIS](https://bioconductor.org/packages/devel/bioc/vignettes/GENESIS/inst/doc/pcair.html) + * [WGS computational pipeline](https://uw-gac.github.io/SISG_2020/index.html) +* [The SNPRelate package](https://www.bioconductor.org/packages/devel/bioc/vignettes/SNPRelate/inst/doc/SNPRelate.html) +* [The GWASTools package](https://www.bioconductor.org/packages/devel/bioc/vignettes/GWASTools/inst/doc/Formats.pdf)