The genome-wide association study (GWAS) is a powerful experimental
design that is applied to detect disease susceptible genetic variants. The main
goal of these studies is to provide a better understanding of the biology of
disease, which further facilitates prevention or better treatment. A
statistical inferential process is finally carried out in this study, where an
association is usually observed between the single-nucleotide polymorphism
(SNPs) and the traits in a case-control setting. To detect the disease
responsible loci correctly, the investigation of the statistical association
should be carefully conducted along with the other necessary steps. This
research provides an introductory guideline for conducting such statistical
association tests for these studies using SNP genotype data.
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