In a somehow naive approach, the function calculates the number of two-point tests that
will be performed for all markers in the data set, and then using this to calculate
the global alpha required to control type I error using Bonferroni's correction.
From this global alpha, the corresponding quantile from the chi-square distribution is taken
and then converted to LOD Score.
This can be seen as just an initial approximation to help users to select a LOD Score for two
point tests.