http://www.molecularautism.com/content/pdf/2040-2392-2-1.pdf
Genome-wide Association Studies (GWAS) have proved invaluable for the identification of disease
susceptibility genes. However, the prioritization of candidate genes and regions for follow-up studies often proves
difficult due to false-positive associations caused by statistical noise and multiple-testing. In order to address this
issue, we propose the novel GWAS noise reduction (GWAS-NR) method as a way to increase the power to detect
true associations in GWAS, particularly in complex diseases such as autism.
