Skip to content
/ thesias Public

THESIAS: Testing Haplotype Effects In Association Studies

License

Notifications You must be signed in to change notification settings

daissi/thesias

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

32 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

install with bioconda Anaconda-Server Badge Build Status

THESIAS

THESIAS (Testing Haplotype EffectS In Association Studies) (1) is a popular software for carrying haplotype association analysis in unrelated individuals. This program is based on the maximum likelihood model described in (2,4) and is linked to the SEM algorithm (2,3). THESIAS allows the simultaneous estimation of haplotype frequencies and of their associated effects on the phenotype of interest. In this version, quantitative, qualitative, categorical and survival outcomes can be studied. Covariate-adjusted haplotype effects as well as haplotype x covariate interactions can be investigated.

Installation

From sources

make
make install

Bioconda

conda install -c bioconda thesias

Debian / Ubuntu

apt install thesias

MacOS / MS Windows

Please refer to the binaries archive.

Changes

  • 2020/01/16: 3.1.1

    • Clarify license with GPL-3+.
    • Update contact email address.
    • New makefile.
  • 2007: 3.1

License

THESIAS is licensed under GPL-3+.

References

  1. D.A. Trégouët and V. Garelle, Bioinformatics (2007), A new JAVA interface implementation of THESIAS: testing haplotype effects in association studies.
  2. D.A. Trégouët and L. Tiret, European Journal of Human Genetics (2004), Cox proportional hazards survival regression in haplotype-based association analysis using the Stochastic-EM algorithm.
  3. D.A. Trégouët et al., Annals of Human Genetics (2004), A new algorithm for haplotype‐based association analysis: the Stochastic‐EM algorithm.
  4. D.A. Trégouët et al., Human Molecular Genetics (2002), Specific haplotypes of the P-selectin gene are associated with myocardial infarction.