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Title 

GSA-SNP: a general approach for gene set analysis of polymorphisms

 

다형성 유전자 세트 분석을 위한 일반적인 접근

Authors 

D NamJ KimSeon-Young KimS Kim

Publisher 

Oxford University Press

Issue Date 

2010

Citation 

Nucleic Acids Research, vol. 38, no. S2, pp. W749-W754

Abstract 

Genome-wide association (GWA) study aims to identify the genetic factors associated with the traits of interest. However, the power of GWA analysis has been seriously limited by the enormous number of markers tested. Recently, the gene set analysis (GSA) methods were introduced to GWA studies to address the association of gene sets that share common biological functions. GSA considerably increased the power of association analysis and successfully identified coordinated association patterns of gene sets. There have been several approaches in this direction with some limitations. Here, we present a general approach for GSA in GWA analysis and a stand-alone software GSA-SNP that implements three widely used GSA methods. GSA-SNP provides a fast computation and an easy-to-use interface. The software and test datasets are freely available at http://gsa .muldas.org. We provide an exemplary analysis on adult heights in a Korean population.

ISSN 

0305-1048

Link 

http://dx.doi.org/10.1093/nar/gkq428

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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