The International HapMap Project set out to the availability of 
high-resolution linkage disequilibrium (LD) maps and comprehensive 
sets of tagging single nucleotide polymorphism (SNPs) allows 
genome-wide studies for disease associations possible. This 
approach is unbiased and does not depend upon prior knowledge of 
function or presumptive involvement of any gene in disease 
causation and become an increasingly popular approach for 
identifying genetic factors influencing common, complex 
diseases.  Since 2007, GWAS also has been used successfully in 
identification of susceptibility genes for cancers of the colon, 
breast, prostate and lung. In this talk, the topics will include
brief introduction of HapMap Project along with study design of
GWAS and data analysis procedure.  The recent success in cancer
GWAS will be used as example and some personal experiences will
be shared.