Format

Send to

Choose Destination
See comment in PubMed Commons below
Nucleic Acids Res. 2010 Jul;38(Web Server issue):W749-54. doi: 10.1093/nar/gkq428. Epub 2010 May 25.

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

Author information

1
School of Nano-Biotech and Chemical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 689-798, Seoul, Korea.

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.

PMID:
20501604
PMCID:
PMC2896081
DOI:
10.1093/nar/gkq428
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Loading ...
    Support Center