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. Author manuscript; available in PMC: 2015 Nov 10.
Published in final edited form as: Hum Mutat. 2012 Jun 7;33(8):1188–1191. doi: 10.1002/humu.22114

Table 1.

Functional classification of residues in long QT proteins.

Residues with published variants in LQT proteins
Residues with disease variants mapped from paralogues
Protein LQT ODP Benign PB Conflict UN Total LQT ODP Benign PB Conflict UN Total
KCNQ1 LQT1 178 8 12 5 15 458 676 36 1 1 0 2 34 74

KCNH2 LQT2 249 4 32 4 14 856 1159 27 0 0 0 0 37 64

SCN5A LQT3 328 23 34 6 30 1595 2016 95 4 0 1 2 303 405

ANK2 LQT4 9 5 31 18 1 3860 3924 0 0 0 0 0 6 6

KCNE1 LQT5 22 0 5 2 4 96 129 3 0 1 2 0 10 16

KCNE2 LQT6 12 1 2 0 1 107 123 2 0 1 0 1 24 28

KCNJ2 LQT7 33 1 3 1 0 389 427 17 0 0 0 0 78 95

CACNA1C LQT8 8 0 3 17 0 2110 2138 2 0 0 1 0 586 589

Totals 839 42 122 53 65 9471 10592 182 5 3 4 5 1078 1277
Percentage 7.9% 0.4% 1.2% 0.5% 0.6% 89.4% 14.3% 0.4% 0.2% 0.3% 0.4% 84.4%

Left panel: for each protein, residues are categorised according to the phenotype associated with variants at that residue: variation at the residue causes definite long QT, short QT or Brugada syndrome (LQT); causes other disease phenotype (ODP); is benign (Benign) or is probably benign (PB). A number of residues have conflicting reports of pathogenicity in the literature (Conflict) and many residues have no reported variation and are unannotated (UN). Right panel: residues identified by mapping of disease-causing variants from paralogues are significantly enriched for known disease-causing variants (p=4.8×10−7, Fisher’s exact test), and annotate 1078 novel putative disease-causing loci.