Supplemental Material Supplemental Methods Kv7.1 Ortholog and Paralog Conservation Analysis For inter-species (ortholog) conservation analysis, the University of California Santa Cruz (UCSC) Genome Browser (http://genome.ucsc.edu/) alignment of 43 species including primates, other placental mammals, monotremes and non-mammalian vertebrates to the primary human Kv7.1 sequences was used. Additionally, the sequences of the five human paralogs from the Kv7 family (KCNQ1-encoded Kv7.1 [UniProt: P51787], KCNQ2-encoded Kv7.2 [UniProt: O43526], KCNQ3-encoded Kv7.3 [UniProt: O43525], KCNQ4-encoded Kv7.4 [UniProt: P56696], KCNQ5-encoded Kv7.5 [UniProt: Q9NR82]) were obtained from UniProt and aligned using ClustalW (http://www.ebi.ac.uk/Tools/msa/clustalw2/). As sequences within this family have regions of low similarity, each individual region (i.e. N-terminus, S1, S1/2, S2, S2/3, S3, S3/4, S4, S4/5, S5, S5/6, S6, C-terminus) was aligned individually and subsequently assembled into a continuous sequence relative to the Kv7.1 protein sequence. For each of the amino acid residues of the human Kv7.1 protein, the percent conservation for both orthologs and paralogs was calculated as the number of orthologs or paralogs hosting the human Kv7.1 residue over the total aligned residues (unaligned orthologs and paralogs at each residue were not used in the calculation). For example, 26 of the 43 species were aligned at amino acid position 350 (17 species had gaps at this position). All 26 aligned orthologs hosted the amino acid residue Glycine (G) at position 350 thus indicating a 100% conservation of this amino acid residue at this position. In contrast, amino acid position 477 only had 10/25 (40%) aligned species hosting the human Kv7.1 amino acid Proline (P). Phenotype Prediction Analyses For the phylogenetic classifications, genetic variants were classified as occurring at a position with either no substitutions or > 1 substitution(s) in the orthologs or paralogs. Variants at positions with > 1 substitution were classified as benign and variants with 0 substitutions were considered pathogenic. In order to assess the physicochemical properties of rare variants, Grantham chemical scores were calculated using the Grantham amino acid difference matrix as previously described. 1 Grantham values range from 15 (most conservative) to 215 (most radical), with values 150 considered radical, 100 to 149 considered moderately radical, 50 to 99 considered moderately conservative, and < 50 considered conservative. For the purposes of this study, rare variants were classified as radical (Grantham value 100) or conservative (Grantham value < 100). SIFT, version 4.0.5, an additional conservation-based metric was used to analyze the Nav1.5 protein sequence and provide phenotype predictions for each rare variant identified in cases and controls using the default settings. The assumptions and exact methodology employed by the current version of the SIFT algorithm have been described previously.2 For the purposes of this study, rare variants were classified as either “Tolerated” or “Damaging” based on the SIFT prediction. PolyPhen2, version 2.1.0, was used to analyze the effect of rare variants on the secondary and tertiary protein structure of the Nav1.5 channel using information derived from the Protein Databank (PDB) and Database of Secondary Structure Assignments (DSSP) using default settings. The assumptions and exact methodology of the PolyPhen2 algorithm have been described previously.3 PolyPhen2 classified each variant as “probably damaging”, “possibly damaging”, or “benign”. For this study, those rare variants labeled as “probably damaging” or “possibly damaging” were combined as “damaging”. KvSNP provides predictions based on a machine learning classifier optimized for Kv channel SNPs. The assumptions and exact methodology employed by the KvSNP algorithm have been described previously.4 KvSNP classified each variant based on a probability of disease causation from 0 to 1. If this probability is equal to, or exceeds, 0.5 then the variant is predicted to be disease-causing, otherwise it is predicted to be benign. MutPred, version 1.2, provides phenotypic classifications conservation parameters adapted from the SIFT algorithm as well as 14 different structural and functional properties. The assumptions and exact methodology of the MutPred algorithm have been described previously.5 Each variant was scored with either “very confident hypotheses,” “confident hypotheses,” “actionable hypotheses,” or “benign” by the MutPred predictions. For this study, those rare variants classified as “benign” were considered benign, while the remaining classifications were grouped as “pathogenic” Calculation of Estimated Prediction Values In order to estimate the likelihood of disease causation, an estimated predictive value (EPV, defined as the probability of pathogenicity for a mutation identified in a case; EPV = (case frequency – control frequency)/case frequency) was employed.6 Briefly, these calculations rely on the simplifying assumptions that (1) the rate of background genetic variation is the same for the case and control populations and (2) all mutations found in controls are benign, background mutations, given the low prevalence of KCNQ1 c-terminus mediated LQTS. Applying these principles, we then calculated estimated predictive values (EPVs). The upper and lower bounds of the 95% confidence intervals (95% CI) were calculated for all EPVs using the formula: CI=1−1/(ê{ln (RR)±z*[SE(log RR)]}), where RR is the relative ratio (mutation frequency in cases divided by the mutation frequency in controls), z=1.959964 for 1−α=95%, and SE[log(RR)] is the standard error around the log of RR. All EPVs calculated here are specific to clinically definite cases as defined previously above and would be over-estimates if applied to a less definite case. 1. 2. 3. 4. 5. 6. Grantham R. Amino acid difference formula to help explain protein evolution. Science. 1974;185:862-864 Kumar P, Henikoff S, Ng PC. Predicting the effects of coding non-synonymous variants on protein function using the sift algorithm. Nat Protoc. 2009;4:1073-1081 Ramensky V, Bork P, Sunyaev S. Human non-synonymous snps: Server and survey. Nucleic Acids Res. 2002;30:3894-3900 Stead LF, Wood IC, Westhead DR. Kvsnp: Accurately predicting the effect of genetic variants in voltage-gated potassium channels. Bioinformatics. 2011;27:2181-2186 Li B, Krishnan VG, Mort ME, Xin F, Kamati KK, Cooper DN, Mooney SD, Radivojac P. Automated inference of molecular mechanisms of disease from amino acid substitutions. Bioinformatics. 2009;25:2744-2750 Kapa S, Tester DJ, Salisbury BA, Harris-Kerr C, Pungliya MS, Alders M, Wilde AA, Ackerman MJ. Genetic testing for long-qt syndrome: Distinguishing pathogenic mutations from benign variants. Circulation. 2009;120:1752-1760 Supplemental Table 1 Nucleotide Change c.1046C>G c.1045T>C c.1048G>A c.1048G>C c.1052T>C c.1058T>C c.1061A>G c.1070A>G c.1079G>T c.1079G>C c.1085A>G c.1093A>C c.1096C>T c.1097G>A c.1097G>C c.1111G>A c.1115C>A c.1117T>C c.1121T>A c.1135T>G c.1136G>C c.1140G>T c.1142G>A c.1153G>A c.1165T>C c.1166C>A c.1172C>T c.1174T>C c.1179G>T c.1178A>T c.1189C>T c.1190G>A c.1193A>G c.1222C>G c.1249G>A c.1283A>G c.1321C>T c.1338C>G c.1336G>A c.1340C>A c.1343C>G c.1343C>T Mutation p.S349W p.S349P p.G350R p.G350R p.F351S p.L353P p.K354R p.Q357R p.R360M p.R360T p.K362R p.N365H p.R366W p.R366Q p.R366P p.A371T p.A372D p.S373P p.L374H p.W379G p.W379S p.R380S p.C381Y p.E385K p.S389P p.S389Y p.T391I p.W392R p.K393N p.K393M p.R397W p.R397Q p.K398R p.P408A p.V417M p.D428G p.P441S p.D446E p.D446N p.P447H p.P448R p.P448L Helix Helix A Helix A Helix A Helix A Helix A Helix A Helix A Helix A Helix A Helix A Helix A Highly Conserved Region? Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No No No No No No No No No No No No No No No Status Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Control Case Case Case Case Case Control Case Control Rare Control Case Control Case Rare Control Control Case Rare Control Rare Control Control Case Nucleotide Change c.1345G>A c.1348G>A c.1352G>A c.1351C>T c.1355G>A c.1354C>T c.1378G>A c.1388G>C c.1430C>T c.1498A>C c.1520G>A c.1531C>T c.1553G>A c.1552C>G c.1553G>C c.1556G>A c.1555C>T c.1559T>G c.1565A>C c.1571T>G c.1573G>A c.1574C>T c.1576A>G c.1597C>T c.1615C>T c.1616G>A c.1621G>A c.1627G>A c.1637C>T c.1640A>G c.1643G>A c.1661T>C c.1664G>A c.1663C>T c.1663C>A c.1669A>G c.1685G>T c.1697C>T c.1697C>A c.1696T>C c.1700T>G c.1700T>C Mutation p.E449K p.E450K p.R451Q p.R451W p.R452Q p.R452W p.G460S p.S463T p.P477L p.I500L p.R507Q p.R511W p.R518Q p.R518G p.R518P p.R519H p.R519C p.M520R p.Y522S p.V524G p.A525T p.A525V p.K526E p.R533W p.R539W p.R539Q p.V541I p.E543K p.S546L p.Q547R p.G548D p.V554A p.R555H p.R555C p.R555S p.K557E p.R562M p.S566F p.S566Y p.S566P p.I567S p.I567T Helix Helix B Helix B Helix B Helix B Helix B Helix B Helix B Helix B Helix B Helix B Helix B Helix B Helix B Helix C Helix C Helix C Helix C Helix C Helix C Helix C Highly Conserved Region? No No No No No No No No No No No Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Status Control Control Control Case Control Control Control Control Case Rare Control Rare Control Case Control Case Case Rare Control Case Case Case Case Case Case Control Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Case Nucleotide Change c.1702G>A c.1703G>C c.1705A>G c.1712C>T c.1719C>A c.1738A>G c.1747C>T c.1748G>A c.1750G>A c.1756A>G c.1760C>T c.1766G>A c.1768G>A c.1771C>T c.1772G>A c.1781G>A c.1781G>C c.1786G>A c.1799C>T c.1831G>A c.1831G>T c.1855T>A c.1861G>A c.1876G>A c.1903G>A c.1927G>A c.1942G>A c.1973C>A c.1987G>A Mutation p.G568R p.G568A p.K569E p.S571L p.F573L p.S580G p.R583C p.R583H p.G584S p.N586D p.T587M p.G589D p.A590T p.R591C p.R591H p.R594Q p.R594P p.E596K p.T600M p.D611N p.D611Y p.L619M p.G621S p.G626S p.G635R p.G643S p.V648I p.T658N p.E663K Helix Helix D Helix D Helix D Helix D Helix D Helix D Helix D Helix D Helix D Helix D Helix D Helix D Highly Conserved Region? Yes Yes Yes Yes Yes No No No No Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes No No No No No No No No No No Status Case Case Case Case Case Rare Control Case Case Rare Control Case Case Case Case Case Case Case Case Case Control Control Case Case Rare Control Case Case Control Control Rare Control Rare Control