Statistical analysis
We applied to sapply function to make descriptive statistics for
clinical data. The Pearson correlations coefficients estimation between
clinical data were evaluated by using cor function. Usingcor.test function examined the significance of correlation
coefficients. TukeyHSD function was conducted to analyze the
differences in average value of clinical data among groups.Fisher test is used to test the significance of frequency.
Moreover, pie function was used to draw the percentage of all ABC
mutations. All the analysis were preformed using R software. In
addition, we used three web-available tools SIFT,
Mutation
Taster and FATHMM to predict protein damage. Predictions were defined as
damaging, probable damaging, possible damaging, neutral when three in
all prediction tools, two out of three, one out of three and none
reached damaging, respectively.