The analysis mode is multiple correspondence. The analysis is conducted from a contingency table according to breed in which the rows are composed of the dependent variable (breed) and the columns are the set of explanatory variables (alleles). In a manner similar to principal component analysis, this method provides a means of displaying or summarising a set of data in three-dimensional graphical form. This method is conceptually similar to principal component analysis, but applies to categorical rather than continuous data. This analysis allows investigation of a qualitative variable (breed) in terms of other qualitative variables (alleles) and the classical term of inertia can be assimilated into diversity.

The analysis of correspondence is an interesting method of measuring genetic diversity. Keywords: dog, drug resistance, pharmacogenomics, SNP polymorphisms The results revealed that several SNPs of the CYP1A2 and CYP2B11 genes are potential targets for drug sensitivity investigations. In the present study, the MDR-1, CYP1A2 and CYP2B11 genes were examined to identify SNP polymorphisms associated with these genes in the following four canine breeds: Uruguayan Cimarron, Border Collie, Labrador Retriever and German Shepherd. However, other genes such as CYP1A2 and CYP2B11 control the protein syntheses involved in the metabolism of many drugs. Among the genetic variations that have been investigated in dogs, the multidrug resistance gene ( MDR) is the best studied. Specific screening tests can predict which animals express modified proteins or genetic sequences responsible for adverse effects associated with a drug. The fields of pharmacogenetics and pharmacogenomics have become increasingly promising regarding the clinical application of genetic data to aid in prevention of adverse reactions.

Finding snp using bioedit