GSM 0.3 – Genotype-based Matching

GSM 0.3

:: DESCRIPTION

GSM (genetic similarity score matching)is a software for efficient matched analysis of cases and controls in a genome-wide or large-scale candidate gene association study. GSM comprises three steps: (1) calculating similarity scores for pairs of individuals using the genotype data; (2) matching sets of cases and controls based on the similarity scores so that matched cases and controls have similar genetic background; and (3) using conditional logistic regression to perform association tests. Through computer simulation we show that GSM correctly controls false-positive rates and improves power to detect true disease predisposing variants

::DEVELOPER

Liming Liang, @ the Center for Statistical Genetics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /  Windows

:: DOWNLOAD

 GSM

:: MORE INFORMATION

Citation

Weihua Guan*, Liming Liang*, Michael Boehnke, Gonçalo R. Abecasis (2009).
Genotype-based matching to correct for population stratification in large-scale case-control genetic association studies.
Genet Epidemiol DOI:10.1002/gepi.20403