Skip to main content

Table 3 The total number of functionally characterised KCNQ1 , KCNH2 and SCN5A gene variants investigated in this study

From: Assessment of the predictive accuracy of five in silico prediction tools, alone or in combination, and two metaservers to classify long QT syndrome gene mutations

Gene

Pathogenic

Benign

Total

KCNQ1

101

8

109

KCNH2

82

8

90

SCN5A

99

14

113

Total

  

312