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ASGSCA (version 1.6.0)

Association Studies for multiple SNPs and multiple traits using Generalized Structured Equation Models

Description

The package provides tools to model and test the association between multiple genotypes and multiple traits, taking into account the prior biological knowledge. Genes, and clinical pathways are incorporated in the model as latent variables. The method is based on Generalized Structured Component Analysis (GSCA).

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Version

Version

1.6.0

License

GPL-3

Maintainer

Hela Romdhani

Last Published

February 15th, 2017

Functions in ASGSCA (1.6.0)

GenPhen

Dataset to test GSCAestim and GSCA functions.
GSCA

Association test for multiple genotypes and multiple traits using Generalized Structured Component Analysis (GSCA)
W0

Matrix indicating connections between the observed variables and the latent variables for QCAHS data.
B0

Matrix indicating connections between the latent variables for QCAHS data.
ResQCAHS

A list containing the results obtained for the QCAHS dataset.
QCAHS

Dataset used in the vignette.
GSCAestim

Structural Equation Models for multiple genotypes and multiple traits using Generalized Structured Component Analysis.
ASGSCA-package

Association Studies for multiple SNPs and multiple traits using Generalized Structured Component Analysis