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For the analysis of the collected data, a series of Chi-square tests (χ 2) were performed to test the significance effect between two discrete variables.
Associations between two discrete variables were analyzed using the Fisher exact test.
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Relative Deviations (RDs) were used to inform on the strength of association between the modalities of the two discrete variables.
When comparing two discrete variables, the chi-square test or the odds ratio (OR) was used.
Let x and y be two discrete random variables of SNP x and SNP y, respectively.
Variable speedism may also be distinguished one of two ways: "discrete variable speedism" and "continuously variable speedism".
The mutual information estimation between two given discrete random variables x and y is determined in terms of their individualistic probabilities P x),P y) and their joint probability P(x y), as shown in Equation (25).
MI between two the discrete random variables of X and Y regarding the distribution of p( x, y ) is simultaneously and collectively obtained as follows [14]: begin{aligned} I( {X Y})=sum _{x,y} {p( {x,y} )} ;log frac{p( {x,y} )}{p( x )p( y )}.
The G2 test is commonly used to test independence and conditional independence between two variables for discrete data.
Associations between the discrete variables were assessed using Fisher's exact tests.
Chi-square test was used to analyse relations between the discrete variables.
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