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Original Contribution |

Long QT Syndrome–Associated Mutations in Intrauterine Fetal Death FREE

Lia Crotti , MD, PhD; David J. Tester, BS; Wendy M. White, MD; Daniel C. Bartos, BS; Roberto Insolia, PhD; Alessandra Besana, PhD; Jennifer D. Kunic, BS; Melissa L. Will, BS; Ellyn J. Velasco, BS; Jennifer J. Bair, BS; Alice Ghidoni, BS; Irene Cetin, MD; Daniel L. Van Dyke, PhD; Myra J. Wick, MD, PhD; Brian Brost, MD; Brian P. Delisle, PhD; Fabio Facchinetti, MD; Alfred L. George, MD; Peter J. Schwartz, MD; Michael J. Ackerman, MD, PhD
[+] Author Affiliations

Author Affiliations: Department of Molecular Medicine, University of Pavia, and Molecular Cardiology Laboratory, Fondazione IRRCCS Policlinico S Matteo (Drs Crotti, Insolia, and Schwartz and Ms Ghidoni), Pavia, Italy; Institute of Human Genetics Helmholtz Center, Munich, Germany (Dr Crotti); Department of Medicine, Molecular Pharmacology and Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory (Mr Tester, Ms Will, and Dr Ackerman), Division of Cardiovascular Disease (Mr Tester, Ms Will, and Dr Ackerman), and Division of Maternal Fetal Medicine (Drs White, Wick, and Brost), Department of Pediatrics, Division of Pediatric Cardiology (Dr Ackerman), and Department of Laboratory Medicine and Pathology (Ms Blair and Dr Van Dyke), Mayo Clinic, Rochester, Minnesota; Department of Physiology, University of Kentucky, Lexington (Mr Bartos, Ms Velasco, and Dr Delisle); Laboratory of Cardiovascular Genetics, IRCCS Insituto Auxologico Italiano, Milan, Italy (Dr Besana); Departments of Medicine (Ms Kunic and Dr George), Pharmacology and Institute for Integrative Genomics (Dr George), Vanderbilt University, Nashville, Tennessee; Department of Clinical Sciences Luigi Sacco, University of Milan, Italy (Dr Cetin); Department of Obstetrics and Gynaecology, University of Modena and Reggio Emilia, Italy (Dr Facchinetti); Cardiovascular Genetics Laboratory, Hatter Institute for Cardiovascular Research Department of Medicine, University of Cape Town and Department of Medicine, University of Stellenbosch (Dr Schwartz), South Africa; and Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia (Dr Schwartz).


JAMA. 2013;309(14):1473-1482. doi:10.1001/jama.2013.3219.
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Importance Intrauterine fetal death or stillbirth occurs in approximately 1 out of every 160 pregnancies and accounts for 50% of all perinatal deaths. Postmortem evaluation fails to elucidate an underlying cause in many cases. Long QT syndrome (LQTS) may contribute to this problem.

Objective To determine the spectrum and prevalence of mutations in the 3 most common LQTS susceptible genes (KCNQ1, KCNH2, and SCN5A) for a cohort of unexplained cases.

Design, Setting, and Patients In this case series, retrospective postmortem genetic testing was conducted on a convenience sample of 91 unexplained intrauterine fetal deaths (mean [SD] estimated gestational age at fetal death, 26.3 [8.7] weeks) that were collected from 2006-2012 by the Mayo Clinic, Rochester, Minnesota, or the Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. More than 1300 ostensibly healthy individuals served as controls. In addition, publicly available exome databases were assessed for the general population frequency of identified genetic variants.

Main Outcomes and Measures Comprehensive mutational analyses of KCNQ1 (KV7.1, LQTS type 1), KCNH2 (HERG/KV11.1, LQTS type 2), and SCN5A (NaV1.5, LQTS type 3) were performed using denaturing high-performance liquid chromatography and direct DNA sequencing on genomic DNA extracted from decedent tissue. Functional analyses of novel mutations were performed using heterologous expression and patch-clamp recording.

Results The 3 putative LQTS susceptibility missense mutations (KCNQ1, p.A283T; KCNQ1, p.R397W; and KCNH2 [1b], p.R25W), with a heterozygous frequency of less than 0.05% in more than 10 000 publicly available exomes and absent in more than 1000 ethnically similar control patients, were discovered in 3 intrauterine fetal deaths (3.3% [95% CI, 0.68%-9.3%]). Both KV7.1-A283T (16-week male) and KV7.1-R397W (16-week female) mutations were associated with marked KV7.1 loss-of-function consistent with in utero LQTS type 1, whereas the HERG1b-R25W mutation (33.2-week male) exhibited a loss of function consistent with in utero LQTS type 2. In addition, 5 intrauterine fetal deaths hosted SCN5A rare nonsynonymous genetic variants (p.T220I, p.R1193Q, involving 2 cases, and p.P2006A, involving 2 cases) that conferred in vitro electrophysiological characteristics consistent with potentially proarrhythmic phenotypes.

Conclusions and Relevance In this molecular genetic evaluation of 91 cases of intrauterine fetal death, missense mutations associated with LQTS susceptibility were discovered in 3 cases (3.3%) and overall, genetic variants leading to dysfunctional LQTS-associated ion channels in vitro were discovered in 8 cases (8.8%). These preliminary findings may provide insights into mechanisms of some cases of stillbirth.

Figures in this Article

Intrauterine fetal death is a major public health problem. About 1 million fetal deaths occur in the United States annually, with the vast majority occurring prior to 20 weeks' estimated gestational age.1 Fetal death occurring after 20 weeks, defined as stillbirth, has an incidence of 6.05 per 1000 live births.1 In fact, there were 25 972 reported fetal deaths at 20 weeks of gestation or more in the United States in 2006, a number rivaling that of all infant deaths (28 509) during this period.1 In 2009, an estimated 2.64 million stillbirths occurred worldwide.2

Although about 50% of fetal deaths can be explained by chromosomal abnormalities, congenital anomalies, maternal or fetal infection, hemorrhage, placental or cord abnormalities, and maternal diseases, postmortem evaluations fail to identify a cause in approximately 25% to 40%, thus prompting a diagnosis of unexplained fetal death.3 However, long QT syndrome (LQTS) has been shown to be a major determinant in young sudden death individuals for which an autopsy was performed but had remained inconclusive4 and a determinant for as much as 10% of sudden infant death syndrome (SIDS).57 Long QT syndrome may also contribute to sudden unexpected fetal mortality.8

Long QT syndrome is characterized by delayed myocardial repolarization that may manifest as a prolonged QT interval on a resting 12-lead surface electrocardiogram.9 With a prevalence of approximately 1:2000 (0.05%) in the general population,10 individuals with LQTS are at an increased risk of syncope, seizures, and sudden cardiac death, despite a structurally normal heart. Life-threatening cardiac arrhythmias can occur unexpectedly, mainly during childhood or adolescence. There have been anecdotal reports demonstrating fetal presentation of LQTS11,12 and associating it with fetal death.1315

Herein, we report the spectrum and prevalence of functionally significant LQTS genetic variants in unexplained fetal death.

Study Population

This case series study was of a convenience sample of unexplained intrauterine fetal deaths ascertained from 2006 to 2012 by 2 independent centers. In the United States, the fetuses were analyzed by the Mayo Clinic Windland Smith Rice Sudden Death Genomics Laboratory; in Italy, by 2 departments of Obstetrics and Gynecology (Milano and Modena) and referred to the Molecular Cardiology Laboratory of the Fondazione IRCCS Policlinico San Matteo of Pavia. All deaths remained “unexplained” following postmortem investigation including external evaluation of the fetus, placenta, and umbilical cord; circumstance of death review to exclude preterm premature rupture of membranes, preterm labor, abruption, peripartum infection, and karyotype analysis; and in some cases extensive toxicology, histologic, microbiologic, and biochemical examinations.16 Estimated gestational age at death and sex were known in all cases. Due to the anonymous nature of the US component of the study, race/ethnicity was not available for most cases. Based on the estimated gestational age, each unexplained death was classified as either a late abortion or miscarriage, occurring from the 14th to the 19th gestational week, or stillbirth, occurring the 20th week of gestation or after.

Race/ethnicity was self-reported by the participants and assessed due to potential ethnic differences in observed genotype frequencies. The Mayo Clinic cases analyzed were anonymous samples derived from fetuses referred to the Mayo Clinic for chromosomal analysis as part of a workup for unexplained fetal death and were noted to be nonanomalous and found to be karyotypically normal. The Mayo Foundation Institutional Review Board approved this anonymous autopsy study and provided waiver of consent. Only limited medical information such as sex and age at fetal death was available. For the Italian cases, the data reported are part of a larger study on intrauterine fetal death in Italy that was approved by the Italian Ministry of University and Research. Patient characteristics and autopsy data were obtained as part of routine clinical protocols, and the decedent's parent(s) signed informed consent, approved by the ethic committee of the University of Modena to perform genetic analysis. A definition of terms used in this article are listed in the Box.

Box. List of Terms

  • Denaturing high-performance liquid chromatography: A high-performance liquid chromatography instrument that uses temperature-dependent separation of DNA containing mismatched base pairs from polymerase chain reaction–amplified DNA fragments for chromatographic mutation analysis.

  • Heterologous expression: A research technique that causes a protein to be produced in a cell that does not normally make (ie, express) that protein.

  • Heterotetrameric, homotetrameric, and heteromultimeric ion channels: Ion channels made up of different combinations of protein subunits; 4 different subunits (heterotetrameric), 4 of the same subunits (homotetrameric), and 2 or more different subunits (heteromultimeric).

  • Patch-clamp technique: A laboratory technique in electrophysiology that allows the study of single or multiple ion channels in cells.

For a complete list of genomic terms, see the 2950 in this issue.

Genetic Analysis

Genomic DNA was extracted using standard techniques from placenta, umbilical cord, or fetal tissue. All cases underwent a comprehensive open reading frame and splice-site mutational analysis of KCNQ1 (HGNC 6294), KCNH2 (HGNC 6251), and SCN5A (HGNC 10593), the 3 major genes associated with LQTS, by means of polymerase chain reaction (PCR), denaturing high-performance liquid chromatography (Wave TM model 3500HT; Transgenomic), and DNA sequencing (3500 Dx Genetic Analyzer; Applied Biosystems). The PCR primer sequences are available upon request.

All identified genetic variants were denoted using accepted nomenclature17 and were categorized as putative pathogenic mutations, rare genetic variants of uncertain clinical significance, or common genetic variants. To be considered a putative pathogenic (ie, disease-causing) mutation, the genetic variant had to be absent in a large panel of ethnically similar controls derived from a previously investigated panel, which included data from 595 white, 319 black, 134 Asian, and 118 Hispanic individuals18; in the Helmholtz Zentrum exome database, which included data from 1414 white individuals; and in 3 publicly available databases: the 1000 Genome Project19 (http://www.1000genomes.org/ensembl -browser), which included data from 1094 individuals, 381 of whom were white, 246 were black, 286 were Asian, and 181 were Hispanic individuals; the NHLBI GO Exome Sequencing Project20 (http://evs.gs.washington.edu/EVS), which included data from 5379 individuals, 3510 of whom were white and 1869 were black individuals); and the Exome Chip Design21 (http://genome.sph.umich.edu/wiki/Exome_Chip_Design), which included data from 12 000 individuals).

Given the previously documented prevalence (1:2000; 0.05%) of LQTS in the general population,10 variants with a heterozygous frequency less than 0.05% among the databases listed above were also considered as putative pathogenic mutations. In addition, to be considered disease-causing, the genetic variant had to exhibit an abnormal electrophysiological phenotype determined by in vitro functional analysis using patch-clamp recording.

Rare genetic variants of uncertain clinical significance were those present in ethnically similar control populations with a heterozygote frequency between 0.05% and 0.3%. Genetic variants with a frequency less than 0.05% but with a normal (wild-type) electrophysiological phenotype were also considered rare genetic variants of uncertain clinical significance.

Common genetic variants were those variants identified in ethnically similar controls with a heterozygous frequency greater than 0.3%. Synonymous and intronic variants not presumed to affect splicing were excluded from our analysis.

Binomial exact 95% confidence intervals were computed using the statistical program R,22 version 2.15.2, to assess the reliability of the estimated proportion of intrauterine fetal death victims with mutations and rare genetic variants. The data on estimated gestational age are presented as mean (SD) and compared by t test for independent samples using GraphPad Prism software, version 3. A 2-sided P value <.05 was considered statistically significant.

KCNH2 Expression in Fetal Human Heart

Genes can be spliced alternatively and produce different mRNA transcripts that contain unique amino acid coding sequences. The KCNH2 transcript is present in 2 forms, each with a unique exon 1 (Figure 1). These alternative transcripts not only can have different expression profiles among different tissue types but their level of expression can vary with developmental age (fetal tissue vs adult tissue). Because we analyzed an alternative KCNH2 exon 1 (belonging to the KCNH2 [1b] transcript) for mutations in our intrauterine fetal death cohort, we determined the level of expression of this alternative transcript in fetal heart tissue compared with adult heart tissue.

Place holder to copy figure label and caption
Figure 1. KCNH2 Isoforms and Molecular Position of the HERG1b R25W Mutation
Graphic Jump Location

HERG1a and HERG1b are 2 isoforms encoded by KCNH2 alternatively spliced transcripts (KCNH2 [1a] and KCNH2 [1b]). The shaded regions of the exons represent the amino acid coding region of the gene that is initiated by the ATG start codon. Full-length KCNH2 contains 15 exons. The alternatively spliced gene transcript KCNH2 has an alternate exon 1 (labeled 1b). KCNH2 (1b) does not include the first 5 exons of the full-length transcript but includes identical exons 6 through 15 that are present in the full-length transcript (KCNH2). The 2 isoforms differ only by their N-termini; HERG1b has a 56 amino acid residue N-terminus in which the first 36 residues have a unique sequence (single letter amino acid abbreviations), whereas HERG1a has a longer (396 residue) N-terminus, with the rest of the protein identical in both splice isoforms. The DNA sequence chromatogram illustrates the heterozygous c.73 C>T nucleotide substitution that results in the substitution of an arginine (R) for a tryptophan (W) at amino acid residue 25 encoded by alternate exon 1b. CNBD indicates cyclic nucleotide-binding domain; PAC, PAS-associated C-terminal; and PAS, Per-ARNT-Sim.

Expression of alternatively spliced KCNH2 mRNA transcripts (KCNH2 [1a] and KCNH2 [1b]) was examined in human heart tissue by real-time quantitative RT-PCR using gene-specific primers and fluorescent Taqman probes (sequences provided in eTable 1) using previously described methods and tissues.12 Relative expression levels of the 2 transcripts were calculated using ratios of cycle threshold values. A standard curve generated from assaying cDNA standards mixed at known log2 ratios and fitted by linear regression was used to interpolate the ratio of isoform expression. All tissues were assayed 6 times for each transcript.

Functional Analysis

Five genetic variants (KCNQ1, p.A283T; KCNQ1, p.R397W; KCNH2 [1b], p.R25W; SCN5A, p.D772N; and SCN5A, p.R1116Q), which were absent in ethnically similar controls and in which functional studies have never been reported in the literature, were characterized functionally by patch-clamp electrophysiological recording to assess their pathogenic role. Detailed methods are presented in the eAppendix. Data are presented as means (95% CIs). Comparisons were made using 1-way analysis of variance or t test where appropriate and P values <.05 were considered significant.

Study Population

The study population consisted of 91 cases (51 females, 40 males) of unexplained intrauterine fetal death. The average estimated gestational age at the time of fetal demise was 26.3 (8.7) weeks (range, 14-41 weeks). Seventy-four percent of cases with known ethnicity were white. Females had a lower estimated gestational age (24.3 [8.1] weeks) than males (28.9 [8.7] weeks; P = .01). Sixty-one cases (30 females, 31 males; mean estimated gestational age, 31.1 [6.4] weeks; range, 20-41 weeks; 72% white) were classified as stillbirth (≥20 weeks' gestation) while 30 cases (21 females, 9 males; mean estimated gestational age, 16.6 [1.5] weeks; range, 14-19 weeks; 83% white) were classified as late abortion or miscarriage (<20 weeks). For the cohort demographics, see Table 1 and for individual case characteristics, eTable 2.

Table Graphic Jump LocationTable 1. Intrauterine Fetal Death Cohort Demographics
Genetic Variants in Intrauterine Fetal Death

Excluding 2 very common genetic variants (KCNH2, p.K897T, and SCN5A, p.H558R), we identified 14 genetic variants in 18 intrauterine fetal deaths (19.8%) of 91 (95% CI, 12.2%-29.4%), 3 late abortion or miscarriages (10%) of 30 (95% CI, 2.1%-26.5%), and 15 stillbirth (24.6%) of 61 (95% CI, 14.5%-37.3%; Table 2). Three variants, (KCNQ1, p.A283T, KCNQ1, p.R397W, and KCNH2 [1b], p.R25W; Figure 1 and Figure 2) found in 3 intrauterine fetal death cases (3.3%) of 91 (95% CI, 0.68%-9.3%) were considered putative pathogenic mutations based on their absence in more than 1000 ethnically similar controls, a heterozygote frequency below the prevalence of LQTS in the general population (0.05%) as determined by analysis of more than 10 000 publicly available exomes, and an abnormal functional electrophysiological profile (see below). Due to the anonymity of the cases carrying the KCNQ1 mutations, we were unable to assess whether these mutations arose de novo or were transmitted from a parent. The p.R25W mutation in KCNH2 (1b) was inherited from the mother who exhibited borderline QTc prolongation.

Place holder to copy figure label and caption
Figure 2.KCNQ1 Genetic Variants and Molecular Position of the KV7.1 Mutations A283T and R397W
Graphic Jump Location

Depicted are the novel p.A283T mutation, located between the S5 transmembrane spanning domain and the pore region (between S5 and S6 of the channel), and the mutation p.R397W, located in the C-terminal region following S6 of the protein. The DNA sequence chromatograms indicate the nucleotide changes corresponding to each mutation (c.847 G>A, p.A283T; c.1189 C>T, p.R397W). In the case of c.847 G>A, both black (G) and green (A) peaks are present at the same position indicating heterozygosity at nucleotide position 847, which predicts substitution of alanine (A) for threonine (T) at amino acid position 283 in the KV7.1 protein. The c.1189 C>T mutation (superimposed blue and red peaks) predicts substitution of arginine (R) for tryptophan (W) at amino acid position 397 in KV7.1

Table Graphic Jump LocationTable 2. Putative Pathogenic Mutations and Nonsynonymous Variants Identified in Antepartum Intrauterine Fetal Death Casesa

Nine additional intrauterine fetal deaths (9.9% [95% CI, 4.6%-17.9%]; 5 females and 4 males) had rare nonsynonymous genetic variants (Table 2). In total, 7 rare nonsynonymous variants were identified including one KCNQ1 variant (p.K393N) and 6 SCN5A variants (p.T220I, p.S524Y, p.D772N, p.R1116Q, p.R1193Q involving 2 cases, and p.P2006A involving 2 cases). Three of these variants identified in 5 cases (SCN5A, p.T220I, p.R1193Q, and p.P2006A) have been shown previously to be functionally disruptive.23,24 Two of these variants (KCNQ1, p.K393N and SCN5A, p.S524Y) have been shown to be functionally normal.25,26 We determined that the functional properties of SCN5A variants p.D772N and p.R1116Q did not differ from the wild-type allele (eFigures 1-4). Furthermore, the SCN5A variant p.R1116Q (identified in a case of African ancestry) has a minor allele frequency of 0.07 in African Americans according to the National Heart, Lung, and Blood Institute Exome Sequencing Project.21 Together, this group of rare alleles were categorized as variants of uncertain clinical significance.

We also observed 6 common nonsynonymous variants (KCNH2: p.K897T and p.R1047L; SCN5A: p.R34C, p.H558R, p.V1951L, and p.F2004L) with an ethnically similar control population heterozygote frequency greater than 0.3% (Table 2). The 2 most common variants were p.K897T in KCNH2 (minor allele frequency, 0.23) and p.H558R in SCN5A (minor allele frequency, 0.24) detected in 37.4% (27 of 91 KT, 7 of 91 TT) and 42.9% (35 of 91 HR, 4 of 91 RR) of intrauterine fetal deaths, respectively. Three cases carrying SCN5A rare variants (p.P2006A, involving 2 cases; p.T220I, involving 1) were also heterozygous for SCN5A, p.H558R; however, the phase of these alleles could not be determined. None of the cases carrying a rare KCNH2 variant also carried the common KCNH2 variant (p. K897T). Overall, the carrier frequency observed for common variants among intrauterine fetal death cases was similar to the control populations.

Thus, we identified 3 putative pathogenic mutations (3.3% [95% CI, 0.68%-9.3%]) and 3 rare variants with a functional effect in 5 cases. In total, there were 8 cases (8.8% [95% CI, 3.9%-16.6%]) associated with dysfunctional LQTS-associated ion channels; 2 cases were classified as late abortions or miscarriages (<20 weeks' estimated gestational age) and 6 were classified as stillbirths (≥20 weeks' estimated gestational age).

Functional Consequences of Putative Pathogenic KV7.1 Mutations in Intrauterine Fetal Death

The KCNQ1 gene encodes the pore forming α-subunit of the KV7.1 voltage-gated K+ channel (otherwise known as KV7.1) and is important for the repolarization of the human cardiac action potential. Mutation KV7.1-A283T represents a novel missense mutation affecting a highly conserved alanine within the extracellular loop between transmembrane segment 5 and the KV7.1 channel pore, whereas KV7.1-R397W affects a conserved residue in the KV7.1 C-terminus (Figure 1). Although KCNQ1, p.R397W was observed in 3 of 12 000 (0.025%) individuals included in the Exome Chip Design project, we still considered this variant as a possible pathogenic mutation because its allele frequency is lower than the population prevalence of LQTS (0.05%).

To determine whether these 2 KCNQ1 mutations confer functional defects with plausible contributions to intrauterine fetal death, we performed in vitro electrophysiological studies using the whole cell patch-clamp technique. The KCNQ1 mutations (p.A283T, p.R397W) were engineered in a recombinant KV7.1 potassium channel plasmid vector and heterologously coexpressed with KCNE1 cDNA (HGNC:6240) to assess their functional consequences. Macroscopic currents (IKs) were recorded by applying steplike test pulses from −80 mV to 70 mV in 10-mV increments for 5 seconds, followed by a “tail” pulse for 5 seconds to −50 mV (Figure 3A). The peak step current (IKs) recorded at the end of the test pulse or at the initiation of the tail pulse was plotted as a function of the test-pulse potential (Figure 3, A and B). The peak tail current-voltage (I-V) relations were described with a Boltzmann equation (Figure 3C). Cells expressing p.A283T or p.R397W mutant KV7.1 channels generated significantly smaller current densities (maximal IKs; IMAX) than cells expressing wild-type KV7.1 (Figure 3D). Additionally, cells expressing p.A283T exhibited a more positive potential of half-maximal voltage (V½) of activation without a change in slope factor (k). Thus, KV7.1-A283T and KV7.1-R397W cause a loss of function and marked attenuation of IKs consistent with an in utero diagnosis of the type 1 LQTS (LQT1).

Place holder to copy figure label and caption
Figure 3. KV7.1-A283T and KV7.1-R397W Mutations Decrease Current at Positive Membrane Potentials
Graphic Jump Location

A, Whole-cell recordings from HEK293 cells transfected with KV7.1-wild-type, KV7.1-A283T, or KV7.1-R397W are illustrated. Macroscopic currents (IKs) were recorded at room temperature using the following voltage-clamp protocol: 5-second depolarizations from −80-mV to 70-mV in 10-mV increments (to elicit step currents) followed by a 5-second repolarization to −50 mV (to elicit tail currents). Peak step and tail IKs were measured at the points indicated by the arrows. Horizontal time scale and vertical current scale in picoamperes (pA) bars applicable to all 3 families of current traces are illustrated. The vertical line indicates the zero current baseline. The mean peak step or the tail peak current IKs density in picoampres per picofarad (pA/pF) is plotted as a function of the step potential for cells expressing KV7.1-wild type (n = 7), KV7.1-A283T (n = 10), and KV7.1-R397W (n = 11) as shown in panels B and C. The individual peak tail I-V relations were described with a Boltzmann equation (dark gray line overlaying the data points, Figure 2C) to calculate the maximally activating current (IMAX), the midpoint potential of half maximal activation (V½), and slope factor (k) error bars indicate 95% confidence intervals.
aP < .05 vs cells expressing KV7.1-A283T.
bP < .05 vs cells expressing KV7.1-R397W.

Dysfunctional KCNH2 Mutation in Intrauterine Fetal Death

The KCNH2 [1b], p.R25W mutation alters a residue exclusive to an alternatively spliced transcript encoding HERG isoform 1b (HERG1b, Figure 1).27,28 Biochemical and functional studies have demonstrated that HERG-mediated IKr current in native cardiac myocytes is generated by heterotetrameric potassium channels comprised of both HERG1a (encoded by the canonical KCNH2 splice isoform) and HERG1b subunits.27 To enable functional studies of HERG1b-R25W, we implemented heterologous expression of homotetrameric HERG1a or HERG1b, or heteromultimeric HERG1a plus HERG1b channels in Chinese hamster ovary cells. Current density observed in cells expressing heteromultimeric wild-type HERG1a plus HERG1b was significantly larger, exhibited faster activation and deactivation kinetics, and inactivated at less negative potentials than cells expressing homotetrameric wild-type HERG1a (eTable 3). Cells expressing heterotetrameric wild-type HERG1a plus HERG1b-R25W mutant channels exhibited significantly smaller current densities, slower activation kinetics, significantly depolarized voltage dependence of activation and a delayed time course of recovery from inactivation (Figure 4; eTable 4) compared with wild-type HERG1a plus HERG1b channels. These findings indicate that heterotetrameric HERG channels containing HERG1b-R25W impair the generation of IKr.

Place holder to copy figure label and caption
Figure 4. Electrophysiological Properties of Wild-Type and Mutant HERG Channels
Graphic Jump Location

A, Whole cell recordings from Chinese hamster ovary cells cotransfected with wild-type HERG1a-DsRed and either wild-type HERG1b-GFP (HERG1a + HERG1b) or mutant HERG1b-R25W-GFP (HERG1a + HERG1b-R25W) are illustrated. Currents were recorded at room temperature using the following voltage-clamp protocol: 2-second depolarizations from −80-mV to 70-mV in 10-mV increments (to elicit step currents) followed by a 2-second repolarization to −50 mV (to elicit tail currents). Peak step and tail currents were measured at the points indicated by the arrows (pA, picoampere; pF, picofarad). Horizontal time scale and vertical current density scale bars applicable to both current traces are illustrated for the upper trace. B, Mean peak step current density in pA/pF plotted as a function of voltage for HERG1a + HERG1b (n = 16) and HERG1a + HERG1b-R25W (n = 16; P <.05 vs cells expressing HERG1a + HERG1b. C, Mean peak tail current density in pA/pF plotted as a function of voltage for HERG1a + HERG1b (n = 16) and HERG1a + HERG1b-R25W (n = 16; P < .05 vs cells expressing HERG1a + HERG1b). Error bars indicate 95% confidence intervals.

Furthermore, we determined that expression of mRNA encoding HERG1b was 2-fold more abundant than HERG1a-encoding transcripts in fetal human hearts compared with adult hearts for which HERG1a transcript expression is 1.3-fold greater than the alternatively spliced isoform. These additional mRNA expression data further support the plausible contribution of HERG1b-R25W to attenuate IKr in fetal human hearts and confer susceptibility for in utero type 2 LQTS (LQT2).

In this study, pathogenic mutations or rare variants exhibiting abnormal functional effects involving the 3 most common LQTS-susceptibility genes were present in 8 of the 91 cases of unexplained intrauterine fetal death occurring after the 14th week of gestation. To our knowledge, this represents the first demonstration of such findings. This preliminary evidence suggests LQTS is one plausible cause of intrauterine fetal death; supports the previously proposed mechanistic link between some cases of intrauterine fetal death, SIDS, and LQTS7; and provides precedence for further large-scale investigations into the extent and role of cardiac channelopathies in stillbirth.

Although previous studies have provided some anecdotal evidence implicating LQTS as a cause, there has been no systematic investigation regarding this possible association.1315,29 Herein, we provide an estimate of the prevalence and spectrum of functionally significant LQTS gene variants in a large case series. Our results indicate that 8 of the 91 unexplained intrauterine fetal deaths occurring after the 14th week of gestation hosted either a pathogenic mutation consistent with in utero LQT1 or LQT2 (3.3%) or rare, functionally abnormal variants (5.5%) that could confer risk of life-threatening arrhythmia to the fetus. The yield of LQTS-associated genetic variants observed in intrauterine fetal death was remarkably similar to what we have reported previously about SIDS.57

Approximately 75% of patients with a clinically certain diagnosis of LQTS host mutations in 1 of 3 major genes: KCNQ1 (LQT1, ≈ 35%), KCNH2 (LQT2, ≈ 30%) and SCN5A (LQT3, ≈ 10%).30 In SIDS, more than half of the previously identified cardiac LQTS gene mutations involve the cardiac sodium channel macromolecular complex,57 which underlies type 3 LQTS (LQT3) in which affected individuals are predisposed to cardiac events during periods of rest or sleep.31 By contrast, 2 of the 3 pathogenic mutations observed in the intrauterine fetal deaths were identified in KCNQ1 (LQT1); individuals with this genetic subtype often have cardiac events following activation of the sympathetic nervous system (ie, exercise or extreme emotion).31 The 2 KCNQ1 mutations (p.A283T and p.R397W) that we identified in late-abortion or miscarriage cases both exhibited significant (>70%) reductions in IKs density, consistent with the in vitro electrophysiological phenotype of an LQT1-causative mutation. The third putative disease-causing mutation was identified in the HERG 1b-encoding alternative splice isoform of KCNH2. The HERG1b-R25W mutation caused a 35% to 50% reduction in current density when expressed as heterotetramers with the canonical splice variant encoding HERG1a, also consistent with the in vitro electrophysiological phenotype of LQT2. Some of the SCN5A variants (p.T220I, p.R1193Q, and p.2006A) identified in this study have been associated previously with arrhythmia predisposition, unexplained sudden death, and an abnormal electrophysiological in vitro phenotype consistent with a cardiac channelopathy.6,23,24,3235

A recent study demonstrated that progesterone decreased IKr through impaired channel trafficking to the plasma membrane by disruption of intracellular cholesterol homeostasis36 possibly reducing repolarization reserve in the normal fetal ventricle. Because during late pregnancy, electrocardiographic intervals including the QTc become longer37,38 and fetal progesterone levels rise significantly,39 one might anticipate that an intrauterine fetal death-related LQTS channelopathy would be more represented in advanced pregnancy. In fact, about two-thirds of the cases with a pathogenic or rare functional genetic variant had intrauterine fetal death occur during the third trimester. The presence of pathogenic, LQTS-causative channel mutations or rare variants having abnormal electrophysiological phenotypes may confer additional risk of lethal ventricular arrhythmias during this vulnerable period of intrauterine development.

Study Limitations

Long QT syndrome has been associated with mutations in 15 genes accounting for approximately 75% to 80% of cases. We performed our molecular interrogation on the 3 most common LQTS-susceptibility genes that account for greater than 90% of all genotype-positive LQTS cases. The 12 minor LQTS-susceptibility genes were not assessed. Although this is in accordance with the current expert consensus guidelines for LQTS genetic testing in cases of autopsy-negative sudden unexplained death and SIDS,40 we cannot exclude the presence of mutations involving these minor LQTS genes.9 In addition, our mutation analysis strategy, denaturing high-performance liquid chromatography followed by direct DNA sequencing, may miss homozygous mutations and large gene rearrangements including copy number variations that could be detected using alternative strategies.41 Therefore, our analysis may underestimate the true prevalence of LQTS-associated mutations in intrauterine fetal death.

In this molecular genetic evaluation of 91 cases of intrauterine fetal death, missense mutations associated with LQTS susceptibility were discovered in 3 cases (3.3%) and overall, genetic variants leading to dysfunctional LQTS-associated ion channels in vitro were discovered in 8 cases (8.8%). This preliminary evidence provided by our present study suggests that LQTS may contribute to the pathogenesis of some intrauterine fetal deaths.

Corresponding Author: Michael J. Ackerman, MD, PhD, Long QT Syndrome Clinic and the Mayo Clinic Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Guggenheim 501, 200 First St SW, Rochester, MN 55905 (ackerman.michael@mayo.edu).

Author Contributions: Drs Crotti and White and Mr Tester contributed equally to this manuscript and are considered coequal first authors and had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Drs George, Schwartz, and Ackerman are considered co-equal senior authors

Study concept and design: Crotti, Tester, White, Cetin, Van Dyke, Wick, Brost, George, Schwartz, Ackerman.

Acquisition of data: Tester, White, Bartos, Insolia, Besana, Kunic, Will, Velasco, Bair, Ghidoni, Cetin, Van Dyke, Brost, Facchinetti, George.

Analysis and interpretation of data: Crotti, Tester, White, Bartos, Insolia, Besana, Ghidoni, Van Dyke, Delisle, George, Schwartz, Ackerman.

Drafting of the manuscript: Crotti, Tester, White, Bartos, Insolia, Kunic, Velasco, Ghidoni, Delisle, George, Ackerman.

Critical revision of the manuscript for important intellectual content: Crotti, Tester, White, Bartos, Besana, Will, Bair, Cetin, Van Dyke, Wick, Brost, Facchinetti, George, Schwartz, Ackerman.

Statistical analysis: Bartos, Besana, Ghidoni, Delisle, George.

Obtained funding: Crotti, Cetin, Delisle, George, Ackerman.

Administrative, technical, or material support: Tester, White, Insolia, Kunic, Will, Velasco, Bair, Ghidoni, Van Dyke, Brost.

Study supervision: Crotti, Tester, White, Wick, Delisle, Facchinetti, George, Schwartz, Ackerman.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Dr Crotti reported receiving an institutional grant from the Italian Ministry of Health. Mr Tester reported receiving royalties personally and to his institution from Transgenomic. Mr Bartos reported receiving a predoctoral grant from the American Heart Association. Dr Insolia reported receiving a grant to his institution from the Italian Ministry of Health, Ms Kunic reported receiving grant to her institution from the National Institutes of Health (NIH). Dr Ghidoni reported receiving a grant to her institution from the Italian Ministry of Health. Dr Cetin reported receiving a grant to her institution from the Italian Ministero dell’Istruzione, dell’Università e della Ricerca and has grants to her institution pending from the European Community, Italian Ministry of Health, and Italian Ministero dell’Istruzione, dell’Università e della Ricerca. Dr Van Dyke reported that he has grants to his institution pending from the National Institutes of Health and receives institutional support from the College of American Pathologists for which he serves as a consultant to the College of American Pathologists Cytogenices Resource Center. Dr Wick reported a pending grant to his institution from the T. Denny Sanford Endowed Collaborative Research Fund. Dr Delisle reported a grant to his insitution from the National Heart, Lung, and Blood Institute. Dr Facchinetti reported receiving consultancy fees from Institut Biochimique SA (IBSA) and lecture fees from Ferring SA, both in Switzerland, and travel expenses from Lo.Li. Pharma, Italy. Dr George reported receiving a grant to his institution from the NIH, has pending grants to his institution from Allergan Inc and Gilead Sciences, and receives royalties from Gilead Sciences Inc and Merck Inc. Dr Ackerman reported receiving royalties personally and to his institution from Transgenomic and received a grant from the NIH. Intellectual property derived from Dr Ackerman's research program resulted in license agreements in 2004 between Mayo Clinic Health Solutions (formerly Mayo Medical Ventures) and PGxHealth (formerly Genaissance Pharmaceuticals and now recently acquired by Transgenomic). However, Transgenomic did not contribute directly to this study in any manner. No other financial disclosures were reported.

Funding/Support: Dr Spazzolini's work is supported by Fondazione IRCCS Policlinico S.Matteo, Pavia, Italy. This research is supported by the Mayo Clinic Windland Smith Rice Comprehensive Sudden Cardiac Death Program (Dr Ackerman), the Sheikh Zayed Saif Mohammed Al Nahyan Fund in Pediatric Cardiology Research (Dr Ackerman), the Dr Scholl Foundation (Dr Ackerman), the Hannah M. Wernke Memorial Foundation (Dr Ackerman), the National Institutes of Health (grants HD042569 to MJA, HL087039 to BPD, and HL083374 to Dr George), and the Italian Ministry of Health (GR-2010-2305717 to Dr Crotti).

Role of the Sponsor: The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.

Additional Contributions: We thank Carla Spazzolini, DVN, MS (Department of Cardiology, IRCCS Fondazione Policlinico S. Matteo, Pavia, Italy) for her statistical support of this article for which no compensation was received.

This article was corrected for errors on August 22, 2013.

Macdorman MF, Kirmeyer SE, Wilson EC. Fetal and Perinatal Mortality, United States, 2006.  Natl Vital Stat Rep. 2012;60(8):1-22
Cousens S, Blencowe H, Stanton C,  et al.  National, regional, and worldwide estimates of stillbirth rates in 2009 with trends since 1995: a systematic analysis.  Lancet. 2011;377(9774):1319-1330
PubMed   |  Link to Article
Stillbirth Collaborative Research Network Writing Group.  Causes of death among stillbirths.  JAMA. 2011;306(22):2459-2468
PubMed   |  Link to Article
Tester DJ, Medeiros-Domingo A, Will ML, Haglund CM, Ackerman MJ. Cardiac channel molecular autopsy: insights from 173 consecutive cases of autopsy-negative sudden unexplained death referred for postmortem genetic testing.  Mayo Clin Proc. 2012;87(6):524-539
PubMed   |  Link to Article
Ackerman MJ, Siu BL, Sturner WQ,  et al.  Postmortem molecular analysis of SCN5A defects in sudden infant death syndrome.  JAMA. 2001;286(18):2264-2269
PubMed   |  Link to Article
Arnestad M, Crotti L, Rognum TO,  et al.  Prevalence of long-QT syndrome gene variants in sudden infant death syndrome.  Circulation. 2007;115(3):361-367
PubMed   |  Link to Article
Van Norstrand DW, Ackerman MJ. Sudden infant death syndrome: do ion channels play a role?  Heart Rhythm. 2009;6(2):272-278
PubMed   |  Link to Article
Schwartz PJ. Stillbirths, sudden infant deaths, and long-QT syndrome: puzzle or mosaic, the pieces of the Jigsaw are being fitted together.  Circulation. 2004;109(24):2930-2932
PubMed   |  Link to Article
Schwartz PJ, Crotti L, Insolia R. Long-QT syndrome: from genetics to management.  Circ Arrhythm Electrophysiol. 2012;5(4):868-877
PubMed   |  Link to Article
Schwartz PJ, Stramba-Badiale M, Crotti L,  et al.  Prevalence of the congenital long-QT syndrome.  Circulation. 2009;120(18):1761-1767
PubMed   |  Link to Article
Ishikawa S, Yamada T, Kuwata T,  et al.  Fetal presentation of long QT syndrome--evaluation of prenatal risk factors: a systematic review.  Fetal Diagn Ther. 2013;33(1):1-7
PubMed   |  Link to Article
Murphy LL, Moon-Grady AJ, Cuneo BF,  et al.  Developmentally regulated SCN5A splice variant potentiates dysfunction of a novel mutation associated with severe fetal arrhythmia.  Heart Rhythm. 2012;9(4):590-597
PubMed   |  Link to Article
Miller TE, Estrella E, Myerburg RJ,  et al.  Recurrent third-trimester fetal loss and maternal mosaicism for long-QT syndrome.  Circulation. 2004;109(24):3029-3034
PubMed   |  Link to Article
Bhuiyan ZA, Momenah TS, Gong Q,  et al.  Recurrent intrauterine fetal loss due to near absence of HERG: clinical and functional characterization of a homozygous nonsense HERG Q1070X mutation.  Heart Rhythm. 2008;5(4):553-561
PubMed   |  Link to Article
Nof E, Cordeiro JM, Pérez GJ,  et al.  A common single nucleotide polymorphism can exacerbate long-QT type 2 syndrome leading to sudden infant death.  Circ Cardiovasc Genet. 2010;3(2):199-206
PubMed   |  Link to Article
Lawn JE, Blencowe H, Pattinson R,  et al; Lancet's Stillbirths Series steering committee.  Stillbirths: Where? When? Why? How to make the data count?  Lancet. 2011;377(9775):1448-1463
PubMed   |  Link to Article
Antonarakis SE.Nomenclature Working Group.  Recommendations for a nomenclature system for human gene mutations.  Hum Mutat. 1998;11(1):1-3
PubMed   |  Link to Article
Kapa S, Tester DJ, Salisbury BA,  et al.  Genetic testing for long-QT syndrome: distinguishing pathogenic mutations from benign variants.  Circulation. 2009;120(18):1752-1760
PubMed   |  Link to Article
Clarke L, Zheng-Bradley X, Smith R,  et al; 1000 Genomes Project Consortium.  The 1000 Genomes Project: data management and community access.  Nat Methods. 2012;9(5):459-462
PubMed   |  Link to Article
 Exome Variant Server NESPE, Seattle WA. http://evs.gs.washington.edu/EVS/.Accessed February 2013
 National Heart, Lung, and Blood Institute Exome Sequencing Project (ESP). Exome variant server: Seattle GO. http://evs.gs.washington.edu/EVS. February 2013
 The R project for statistical computing [web page]. R Foundation for Statistical Computing. http://www.R-project.org. Accessed July 12, 2013
Benson DW, Wang DW, Dyment M,  et al.  Congenital sick sinus syndrome caused by recessive mutations in the cardiac sodium channel gene (SCN5A).  J Clin Invest. 2003;112(7):1019-1028
PubMed
Wang DW, Desai RR, Crotti L,  et al.  Cardiac sodium channel dysfunction in sudden infant death syndrome.  Circulation. 2007;115(3):368-376
PubMed   |  Link to Article
Shamgar L, Ma L, Schmitt N,  et al.  Calmodulin is essential for cardiac IKS channel gating and assembly: impaired function in long-QT mutations.  Circ Res. 2006;98(8):1055-1063
PubMed   |  Link to Article
Tan BH, Valdivia CR, Rok BA,  et al.  Common human SCN5A polymorphisms have altered electrophysiology when expressed in Q1077 splice variants.  Heart Rhythm. 2005;2(7):741-747
PubMed   |  Link to Article
Sale H, Wang JL, O’Hara TJ,  et al.  Physiological properties of HERG 1a/1b heteromeric currents and a HERG 1b-specific mutation associated with Long-QT syndrome.  Circ Res. 2008;103(7):e81-e95
PubMed   |  Link to Article
Larsen AP, Olesen S-P, Grunnet M, Jespersen T. Characterization of HERG1a and HERG1b potassium channels-a possible role for HERG1b in the I (Kr) current.  Pflugers Arch. 2008;456(6):1137-1148
PubMed   |  Link to Article
Walsh S, Mortimer G. Unexplained stillbirths and sudden infant death syndrome.  Med Hypotheses. 1995;45(1):73-75
PubMed   |  Link to Article
Tester DJ, Will ML, Haglund CM, Ackerman MJ. Compendium of cardiac channel mutations in 541 consecutive unrelated patients referred for long QT syndrome genetic testing.  Heart Rhythm. 2005;2(5):507-517
PubMed   |  Link to Article
Schwartz PJ, Priori SG, Spazzolini C,  et al.  Genotype-phenotype correlation in the long-QT syndrome: gene-specific triggers for life-threatening arrhythmias.  Circulation. 2001;103(1):89-95
PubMed   |  Link to Article
Olson TM, Michels VV, Ballew JD,  et al.  Sodium channel mutations and susceptibility to heart failure and atrial fibrillation.  JAMA. 2005;293(4):447-454
PubMed   |  Link to Article
Hwang HW, Chen JJ, Lin YJ,  et al.  R1193Q of SCN5A, a Brugada and long QT mutation, is a common polymorphism in Han Chinese.  J Med Genet. 2005;42(2):e7- author reply e8
PubMed   |  Link to Article
Wang Q, Chen S, Chen Q,  et al.  The common SCN5A mutation R1193Q causes LQTS-type electrophysiological alterations of the cardiac sodium channel.  J Med Genet. 2004;41(5):e66
PubMed   |  Link to Article
Vatta M, Dumaine R, Varghese G,  et al.  Genetic and biophysical basis of sudden unexplained nocturnal death syndrome (SUNDS), a disease allelic to Brugada syndrome.  Hum Mol Genet. 2002;11(3):337-345
PubMed   |  Link to Article
Wu Z-Y, Yu D-J, Soong TW, Dawe GS, Bian J-S. Progesterone impairs human ether-a-go-go-related gene (HERG) trafficking by disruption of intracellular cholesterol homeostasis.  J Biol Chem. 2011;286(25):22186-22194
PubMed   |  Link to Article
Kähler C, Schleussner E, Grimm B,  et al.  Fetal magnetocardiography: development of the fetal cardiac time intervals.  Prenat Diagn. 2002;22(5):408-414
PubMed   |  Link to Article
Chia EL, Ho TF, Rauff M, Yip WCL. Cardiac time intervals of normal fetuses using noninvasive fetal electrocardiography.  Prenat Diagn. 2005;25(7):546-552
PubMed   |  Link to Article
Aisien AO, Towobola OA, Otubu JAM, Imade GE. Umbilical cord venous progesterone at term delivery in relation to mode of delivery.  Int J Gynaecol Obstet. 1994;47(1):27-31
PubMed   |  Link to Article
Ackerman MJ, Priori SG, Willems S,  et al.  HRS/EHRA expert consensus statement on the state of genetic testing for the channelopathies and cardiomyopathies this document was developed as a partnership between the Heart Rhythm Society (HRS) and the European Heart Rhythm Association (EHRA).  Heart Rhythm. 2011;8(8):1308-1339
PubMed   |  Link to Article
Tester DJ, Ackerman MJ. Novel gene and mutation discovery in congenital long QT syndrome: let's keep looking where the street lamp standeth.  Heart Rhythm. 2008;5(9):1282-1284
PubMed   |  Link to Article

Figures

Place holder to copy figure label and caption
Figure 1. KCNH2 Isoforms and Molecular Position of the HERG1b R25W Mutation
Graphic Jump Location

HERG1a and HERG1b are 2 isoforms encoded by KCNH2 alternatively spliced transcripts (KCNH2 [1a] and KCNH2 [1b]). The shaded regions of the exons represent the amino acid coding region of the gene that is initiated by the ATG start codon. Full-length KCNH2 contains 15 exons. The alternatively spliced gene transcript KCNH2 has an alternate exon 1 (labeled 1b). KCNH2 (1b) does not include the first 5 exons of the full-length transcript but includes identical exons 6 through 15 that are present in the full-length transcript (KCNH2). The 2 isoforms differ only by their N-termini; HERG1b has a 56 amino acid residue N-terminus in which the first 36 residues have a unique sequence (single letter amino acid abbreviations), whereas HERG1a has a longer (396 residue) N-terminus, with the rest of the protein identical in both splice isoforms. The DNA sequence chromatogram illustrates the heterozygous c.73 C>T nucleotide substitution that results in the substitution of an arginine (R) for a tryptophan (W) at amino acid residue 25 encoded by alternate exon 1b. CNBD indicates cyclic nucleotide-binding domain; PAC, PAS-associated C-terminal; and PAS, Per-ARNT-Sim.

Place holder to copy figure label and caption
Figure 2.KCNQ1 Genetic Variants and Molecular Position of the KV7.1 Mutations A283T and R397W
Graphic Jump Location

Depicted are the novel p.A283T mutation, located between the S5 transmembrane spanning domain and the pore region (between S5 and S6 of the channel), and the mutation p.R397W, located in the C-terminal region following S6 of the protein. The DNA sequence chromatograms indicate the nucleotide changes corresponding to each mutation (c.847 G>A, p.A283T; c.1189 C>T, p.R397W). In the case of c.847 G>A, both black (G) and green (A) peaks are present at the same position indicating heterozygosity at nucleotide position 847, which predicts substitution of alanine (A) for threonine (T) at amino acid position 283 in the KV7.1 protein. The c.1189 C>T mutation (superimposed blue and red peaks) predicts substitution of arginine (R) for tryptophan (W) at amino acid position 397 in KV7.1

Place holder to copy figure label and caption
Figure 3. KV7.1-A283T and KV7.1-R397W Mutations Decrease Current at Positive Membrane Potentials
Graphic Jump Location

A, Whole-cell recordings from HEK293 cells transfected with KV7.1-wild-type, KV7.1-A283T, or KV7.1-R397W are illustrated. Macroscopic currents (IKs) were recorded at room temperature using the following voltage-clamp protocol: 5-second depolarizations from −80-mV to 70-mV in 10-mV increments (to elicit step currents) followed by a 5-second repolarization to −50 mV (to elicit tail currents). Peak step and tail IKs were measured at the points indicated by the arrows. Horizontal time scale and vertical current scale in picoamperes (pA) bars applicable to all 3 families of current traces are illustrated. The vertical line indicates the zero current baseline. The mean peak step or the tail peak current IKs density in picoampres per picofarad (pA/pF) is plotted as a function of the step potential for cells expressing KV7.1-wild type (n = 7), KV7.1-A283T (n = 10), and KV7.1-R397W (n = 11) as shown in panels B and C. The individual peak tail I-V relations were described with a Boltzmann equation (dark gray line overlaying the data points, Figure 2C) to calculate the maximally activating current (IMAX), the midpoint potential of half maximal activation (V½), and slope factor (k) error bars indicate 95% confidence intervals.
aP < .05 vs cells expressing KV7.1-A283T.
bP < .05 vs cells expressing KV7.1-R397W.

Place holder to copy figure label and caption
Figure 4. Electrophysiological Properties of Wild-Type and Mutant HERG Channels
Graphic Jump Location

A, Whole cell recordings from Chinese hamster ovary cells cotransfected with wild-type HERG1a-DsRed and either wild-type HERG1b-GFP (HERG1a + HERG1b) or mutant HERG1b-R25W-GFP (HERG1a + HERG1b-R25W) are illustrated. Currents were recorded at room temperature using the following voltage-clamp protocol: 2-second depolarizations from −80-mV to 70-mV in 10-mV increments (to elicit step currents) followed by a 2-second repolarization to −50 mV (to elicit tail currents). Peak step and tail currents were measured at the points indicated by the arrows (pA, picoampere; pF, picofarad). Horizontal time scale and vertical current density scale bars applicable to both current traces are illustrated for the upper trace. B, Mean peak step current density in pA/pF plotted as a function of voltage for HERG1a + HERG1b (n = 16) and HERG1a + HERG1b-R25W (n = 16; P <.05 vs cells expressing HERG1a + HERG1b. C, Mean peak tail current density in pA/pF plotted as a function of voltage for HERG1a + HERG1b (n = 16) and HERG1a + HERG1b-R25W (n = 16; P < .05 vs cells expressing HERG1a + HERG1b). Error bars indicate 95% confidence intervals.

Tables

Table Graphic Jump LocationTable 1. Intrauterine Fetal Death Cohort Demographics
Table Graphic Jump LocationTable 2. Putative Pathogenic Mutations and Nonsynonymous Variants Identified in Antepartum Intrauterine Fetal Death Casesa

References

Macdorman MF, Kirmeyer SE, Wilson EC. Fetal and Perinatal Mortality, United States, 2006.  Natl Vital Stat Rep. 2012;60(8):1-22
Cousens S, Blencowe H, Stanton C,  et al.  National, regional, and worldwide estimates of stillbirth rates in 2009 with trends since 1995: a systematic analysis.  Lancet. 2011;377(9774):1319-1330
PubMed   |  Link to Article
Stillbirth Collaborative Research Network Writing Group.  Causes of death among stillbirths.  JAMA. 2011;306(22):2459-2468
PubMed   |  Link to Article
Tester DJ, Medeiros-Domingo A, Will ML, Haglund CM, Ackerman MJ. Cardiac channel molecular autopsy: insights from 173 consecutive cases of autopsy-negative sudden unexplained death referred for postmortem genetic testing.  Mayo Clin Proc. 2012;87(6):524-539
PubMed   |  Link to Article
Ackerman MJ, Siu BL, Sturner WQ,  et al.  Postmortem molecular analysis of SCN5A defects in sudden infant death syndrome.  JAMA. 2001;286(18):2264-2269
PubMed   |  Link to Article
Arnestad M, Crotti L, Rognum TO,  et al.  Prevalence of long-QT syndrome gene variants in sudden infant death syndrome.  Circulation. 2007;115(3):361-367
PubMed   |  Link to Article
Van Norstrand DW, Ackerman MJ. Sudden infant death syndrome: do ion channels play a role?  Heart Rhythm. 2009;6(2):272-278
PubMed   |  Link to Article
Schwartz PJ. Stillbirths, sudden infant deaths, and long-QT syndrome: puzzle or mosaic, the pieces of the Jigsaw are being fitted together.  Circulation. 2004;109(24):2930-2932
PubMed   |  Link to Article
Schwartz PJ, Crotti L, Insolia R. Long-QT syndrome: from genetics to management.  Circ Arrhythm Electrophysiol. 2012;5(4):868-877
PubMed   |  Link to Article
Schwartz PJ, Stramba-Badiale M, Crotti L,  et al.  Prevalence of the congenital long-QT syndrome.  Circulation. 2009;120(18):1761-1767
PubMed   |  Link to Article
Ishikawa S, Yamada T, Kuwata T,  et al.  Fetal presentation of long QT syndrome--evaluation of prenatal risk factors: a systematic review.  Fetal Diagn Ther. 2013;33(1):1-7
PubMed   |  Link to Article
Murphy LL, Moon-Grady AJ, Cuneo BF,  et al.  Developmentally regulated SCN5A splice variant potentiates dysfunction of a novel mutation associated with severe fetal arrhythmia.  Heart Rhythm. 2012;9(4):590-597
PubMed   |  Link to Article
Miller TE, Estrella E, Myerburg RJ,  et al.  Recurrent third-trimester fetal loss and maternal mosaicism for long-QT syndrome.  Circulation. 2004;109(24):3029-3034
PubMed   |  Link to Article
Bhuiyan ZA, Momenah TS, Gong Q,  et al.  Recurrent intrauterine fetal loss due to near absence of HERG: clinical and functional characterization of a homozygous nonsense HERG Q1070X mutation.  Heart Rhythm. 2008;5(4):553-561
PubMed   |  Link to Article
Nof E, Cordeiro JM, Pérez GJ,  et al.  A common single nucleotide polymorphism can exacerbate long-QT type 2 syndrome leading to sudden infant death.  Circ Cardiovasc Genet. 2010;3(2):199-206
PubMed   |  Link to Article
Lawn JE, Blencowe H, Pattinson R,  et al; Lancet's Stillbirths Series steering committee.  Stillbirths: Where? When? Why? How to make the data count?  Lancet. 2011;377(9775):1448-1463
PubMed   |  Link to Article
Antonarakis SE.Nomenclature Working Group.  Recommendations for a nomenclature system for human gene mutations.  Hum Mutat. 1998;11(1):1-3
PubMed   |  Link to Article
Kapa S, Tester DJ, Salisbury BA,  et al.  Genetic testing for long-QT syndrome: distinguishing pathogenic mutations from benign variants.  Circulation. 2009;120(18):1752-1760
PubMed   |  Link to Article
Clarke L, Zheng-Bradley X, Smith R,  et al; 1000 Genomes Project Consortium.  The 1000 Genomes Project: data management and community access.  Nat Methods. 2012;9(5):459-462
PubMed   |  Link to Article
 Exome Variant Server NESPE, Seattle WA. http://evs.gs.washington.edu/EVS/.Accessed February 2013
 National Heart, Lung, and Blood Institute Exome Sequencing Project (ESP). Exome variant server: Seattle GO. http://evs.gs.washington.edu/EVS. February 2013
 The R project for statistical computing [web page]. R Foundation for Statistical Computing. http://www.R-project.org. Accessed July 12, 2013
Benson DW, Wang DW, Dyment M,  et al.  Congenital sick sinus syndrome caused by recessive mutations in the cardiac sodium channel gene (SCN5A).  J Clin Invest. 2003;112(7):1019-1028
PubMed
Wang DW, Desai RR, Crotti L,  et al.  Cardiac sodium channel dysfunction in sudden infant death syndrome.  Circulation. 2007;115(3):368-376
PubMed   |  Link to Article
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Supplementary Online Content

Crotti L, Tester DJ, White WM, et al. Long QT Syndrome Associated Mutations in Intrauterine Fetal Death. JAMA. doi:10.1001/jama.2013.3219.

eMethods. Functional Studies of Ion Channel Variants

eTable 1. Oligonucleotide primer and TaqMan probe sequences

eTable 2. Individual IUFD Case Characteristics

eTable 3. Electrophysiological properties of homotetrameric HERG1a, HERG1b, and heterotetrameric HERG1a/HERG1b channels

eTable 4. Electrophysiological properties of heterotetrameric HERG1a/HERG1b and HERG1a/HERG1b-R25W channels

eFigure 1. Current-voltage relationship for wild-type and variant (D772N) NaV1.5 sodium channels

eFigure 2. Voltage dependence of activation and inactivation for wild-type and variant (D772N) NaV1.5 sodium channels

eFigure 3. Current-voltage relationship for wild-type and variant (R1116Q) NaV1.5 sodium channels

eFigure 4. Voltage dependence of activation and inactivation for wild-type and variant (R1116Q) NaV1.5 sodium channels

eReferences

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