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@@ -11,8 +11,8 @@ models (LMMs) and related models to genome-wide association studies Issues.* *Note: The image above summarizes physiological and behavioral trait -loci in CFW mice identified using GEMMA, from [Parker et al, Nat. -Genet., 2006](https://doi.org/10.1038/ng.3609).* +loci in CFW mice identified using GEMMA, from [Parker et al, Nature +Genetics, 2006](https://doi.org/10.1038/ng.3609).* ## Key features @@ -39,7 +39,33 @@ MQS algorithm to estimate variance components. ## Citing GEMMA -*Add text here.* +If you use GEMMA for published work, please cite our paper: + +Xiang Zhou and Matthew Stephens (2012). [Genome-wide efficient +mixed-model analysis for association studies.](http://doi.org/10.1038/ng.2310) +*Nature Genetics* **44**, 821–824. + +If you use the multivariate linear mixed model (mvLMM) in your +research, please cite: + +Xiang Zhou and Matthew Stephens (2014). [Efficient multivariate linear +mixed model algorithms for genome-wide association +studies.](http://doi.org/10.1038/nmeth.2848) +*Nature Methods* **11**, 407–409. + +If you use the Bayesian sparse linear mixed model (BSLMM), please cite: + +Xiang Zhou, Peter Carbonetto and Matthew Stephens (2013). [Polygenic +modeling with bayesian sparse linear mixed +models.](http://doi.org/10.1371/journal.pgen.1003264) *PLoS Genetics* +**9**, e1003264. + +And if you use of the variance component estimation using summary +statistics, please cite: + +Xiang Zhou (2016). [A unified framework for variance component +estimation with summary statistics in genome-wide association +studies.](https://doi.org/10.1101/042846) *bioRxiv* 042846. ## License @@ -47,11 +73,17 @@ Copyright (C) 2012–2017, Xiang Zhou. ## Quick start -*Add text here.* +1. Download and install the software. *Give more details here.* -## Setup +2. Work through the tutorial. *Give more details here.* -*Add text here.* +3. Read the manual. *Give more details.* + +## Setup + +### Using precompiled executables + +### Building from source ## Credits |