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| -rw-r--r-- | README.md | 26 |
1 files changed, 13 insertions, 13 deletions
@@ -7,7 +7,14 @@ GEMMA is a software toolkit for fast application of linear mixed models (LMMs) and related models to genome-wide association studies (GWAS) and other large-scale data sets. -Features include: +*Add note here about posting questions, comments or bug reports to +Issues.* + +*Note: The image above summarizes physiological and behavioral trait +loci discovered in CFW mice using GEMMA, from [Parker et al, Nat. +Genet., 2006](https://doi.org/10.1038/ng.3609).* + +## Key features 1. Fast assocation tests implemented using the univariate linear mixed model (LMM). In GWAS, this can correct for population structure and @@ -16,7 +23,7 @@ proportion of variance in phenotypes explained by available genotypes (PVE), often called "chip heritability" or "SNP heritability". 2. Fast association tests for multiple phenotypes implemented using a -multivariate linear mixed model (lvLMM). In GWAS, this can correct for +multivariate linear mixed model (mvLMM). In GWAS, this can correct for populations tructure and sample nonexchangeability jointly in multiple complex phenotypes. @@ -30,26 +37,19 @@ algorithm can be used to estimate variance components when individual-level data are available. For summary data, GEMMA uses the MQS algorithm to estimate variance components. -*Add note here about posting questions, comments or bug reports to -Issues.* - -*Note: The image above summarizes physiological and behavioral trait -loci discovered in CFW mice, from [Parker et al, Nat. Genet., -2006](https://doi.org/10.1038/ng.3609).* - -### Citing GEMMA +## Citing GEMMA *Add text here.* -### License +## License Copyright (C) 2012–2017, Xiang Zhou. -### Quick start +## Quick start *Add text here.* -### Setup +## Setup *Add text here.* |