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+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)