Tag: Efficient

EMMAX Beta – Efficient Mixed-Model Association eXpedited

EMMAX Beta

:: DESCRIPTION

EMMAX is a statistical test for large scale human or model organism association mapping accounting for the sample structure. In addition to the computational efficiency obtained by EMMA algorithm, EMMAX takes advantage of the fact that each loci explains only a small fraction of complex traits, which allows us to avoid repetitive variance component estimation procedure, resulting in a significant amount of increase in computational time of association mapping using mixed model.

::DEVELOPER

Hyun Min Kang

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 EMMAX

:: MORE INFORMATION

Citation

Nat Genet. 2010 Apr;42(4):348-54. Epub 2010 Mar 7.
Variance component model to account for sample structure in genome-wide association studies.
Kang HM, Sul JH, Service SK, Zaitlen NA, Kong SY, Freimer NB, Sabatti C, Eskin E.

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.