GPA 1.1.0 – Genetic analysis incorporating Pleiotropy and Annotation

GPA 1.1.0

:: DESCRIPTION

GPA is a statistical approach to prioritizing GWAS results by integrating pleiotropy information and annotation data.

::DEVELOPER

Hongyu Zhao’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

MacOsX / Linux/ Windows

:: DOWNLOAD

GPA

:: MORE INFORMATION

Citation

GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation.
Chung D, Yang C, Li C, Gelernter J, Zhao H.
PLoS Genet. 2014 Nov 13;10(11):e1004787. doi: 10.1371/journal.pgen.1004787.

PleioGRiP 0.02 – Genetic Risk Prediction with Pleiotropy

PleioGRiP 0.02

:: DESCRIPTION

PleioGRiP is a program that performs a genome-wide Bayesian model search to identify SNPs associated with a discrete phenotype and uses SNPs ranked by Bayes factor to produce nested Bayesian classifiers.

::DEVELOPER

Stephen W. Hartley and Paola Sebastiani

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux/ Windows/ MacOsX
Java

:: DOWNLOAD

PleioGRiP

:: MORE INFORMATION

Citation

PleioGRiP: genetic risk prediction with pleiotropy
Stephen W. Hartley and Paola Sebastiani
Bioinformatics (2013) 29 (8): 1086-1088.