Tag: Mixed Model Association

GEMMA 0.94.1 – Genome-wide Efficient Mixed Model Association

GEMMA 0.94.1

:: DESCRIPTION

GEMMA (Genome-wide Efficient Mixed Model Association) tests for association in genome-wide association studies (GWAS) using a standard linear mixed model to account for population stratification and sample structure. It calculates exact Wald or likelihood ratio test statistics and p-values, and is computationally efficient for large GWAS.

::DEVELOPER

Xiang Zhou

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 GEMMA

:: MORE INFORMATION

Citation

Nat Genet. 2012 Jun 17;44(7):821-4. doi: 10.1038/ng.2310.
Genome-wide efficient mixed-model analysis for association studies.
Zhou X, Stephens M.

EMMA 1.1.2 – Efficient Mixed-Model Association

EMMA 1.1.2

:: DESCRIPTION

EMMA (Efficient Mixed-Model Association) is a statistical test for model organisms association mapping correcting for the confounding from population structure and genetic relatedness. EMMA takes advantage of the specific nature of the optimization problem in applying mixed models for association mapping, which allows us to sustantially increase the computational speed and the reliability of the results.

::DEVELOPER

ZarLab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 EMMA

:: MORE INFORMATION

Citation

Hyun Min Kang , Noah A. Zaitlen , Claire M. Wade, Andrew Kirby , David Heckerman, Mark J. Daly and Eleazar Eskin
Efficient Control of Population Structure in Model Organism Association Mapping.
Genetics. 2008 Mar;178(3):1709-23.