(Circulation. 1995;92:142-147.)
© 1995 American Heart Association, Inc.
Articles |
From the Howard Hughes Medical Institute, Eccles Institute of Human Genetics, and Cardiology Division, University of Utah Health Sciences Center, Salt Lake City.
Correspondence to Dr Mark Keating, Eccles Institute of Human Genetics, University of Utah, Building 533, Room 2100, Salt Lake City, UT 84112.
| Abstract |
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Methods and Results Over the last decade, it has become possible to identify genes that cause human disease by use of the techniques of molecular genetics, specifically genetic linkage analysis, positional cloning, and mutational analyses. We have used these techniques to study three inherited cardiovascular disorders: supravalvular aortic stenosis, Williams syndrome, and long-QT syndrome. We have discovered that the vascular pathology of supravalvular aortic stenosis and Williams syndrome results from mutations involving the elastin gene on chromosome 7q11.23. These mutations include intragenic deletions, translocations, and complete deletion of the elastin gene, suggesting that a quantitative reduction in elastin during vascular development is pathogenically important. To date, only the elastin gene has proved important for supravalvular aortic stenosis. By contrast, genetic linkage analyses in families with long-QT syndrome indicate that at least four distinct genes can cause this disorder. We have identified three LQT loci: LQT1 on chromosome 11p15.5, LQT2 on 7q35-36, and LQT3 on 3p21-24. Recently, we demonstrated that mutations in a putative cardiac potassium channel gene, HERG, are responsible for the chromosome 7linked form of long-QT syndrome, whereas mutations in the cardiac sodium channel gene SCN5A cause the chromosome 3linked form of this disorder. HERG mutations and potassium channel biophysics suggest a dominant-negative molecular mechanism and reduced repolarization currents. By contrast, SCN5A mutations probably cause subtle alterations of cardiac sodium channel function and prolonged depolarizing currents.
Conclusions Molecular genetic analyses of long-QT syndrome, supravalvular aortic stenosis, and Williams syndrome have begun to unravel the mechanisms underlying these inherited disorders. Rapid genetic testing for Williams syndrome is now available using a simple cytogenetic test, fluorescence in situ hybridization, but additional work will be required for long-QT syndrome and autosomal-dominant supravalvular aortic stenosis. Improved diagnosis and mechanistic understanding of these disorders should lead to rational treatment and prevention.
Key Words: arrhythmias stenosis genes
| Introduction |
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| SVAS, an Inherited Vascular Disease, Results From Mutations in the Elastin Gene |
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Relatively little was known about the pathogenesis of SVAS. Pathological studies demonstrated disease in the intima and media of affected arteries, including disruption of elastic fibers, hypertrophy of smooth muscle cells, disruption of the intima, and intimal proliferation of smooth muscle and fibrosis. Since physiological and biochemical approaches to this disorder had not been successful, we used a genetic approach.
In 1992, we discovered genetic linkage between the SVAS
phenotype and DNA markers on the long arm of chromosome 7 (Fig
2
).3 A polymorphism at the elastin
locus was completely linked to the phenotype, making elastin an
exciting candidate gene. We tested this hypothesis and identified
inherited and de novo rearrangements (1 translocation, 2 partial
deletions, and 131 complete deletions) of the elastin gene in DNA
samples from patients with SVAS (Fig
3
).6 7 8 9
Olson and colleagues5 independently identified linkage
between SVAS and chromosome 7 and recently identified an intragenic
deletion of the elastin gene associated with the disorder. No elastin
rearrangements were identified from samples from control individuals.
These data, coupled with existing knowledge of vascular histology and
physiology, indicate that mutations of the elastin gene cause this
vascular disorder (Table 1
).
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The pathogenic mechanisms underlying SVAS are not yet understood.
Reduced elastin content in the media of developing vessels may lead to
recurrent injury and fibrosis (Fig 4
). Vascular
inelasticity, in turn, may increase hemodynamic stress
to the endothelium, leading to intimal proliferation of
smooth muscle and fibroblasts, fibrosis, and luminal narrowing.
Alternatively, quantitative or qualitative abnormalities in the
internal elastic lamina may impair its function as a boundary for
information and cell proliferation. Finally, elastic fiber
abnormalities may increase elastin degradation, and elastin degradation
products are known chemotactic factors for inflammatory cells.
Because these mechanistic hypotheses cannot be tested using human
pathological specimens, we are developing a mouse model for SVAS using
homologous recombination. Once an animal model is available, we should
be able to determine whether medical therapy (eg, reduced
hemodynamic stress from ß-blockers) is feasible.
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| Haploinsufficiency of Elastin and Adjacent Sequences in WS |
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In 1993, we discovered that WS results from submicroscopic deletion of
chromosome 7q11.23 (Fig
5
).7 9 10 Inherited
or de novo deletion of one elastin allele was identified in each of
the patients studied. We used these data to develop a simple and
accurate diagnostic test for WS, fluorescence in situ
hybridization with probes at the elastin locus. This test is now
available in many medical centers.
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Our data suggest that hemizygosity at the elastin locus is responsible
for vascular pathology in WS. Elastin hemizygosity may also account for
other connective tissue abnormalities, including hypertension,
premature aging of skin, dysmorphic facial appearance, and joint
abnormalities. It is unlikely, however, that elastin deletions account
for all features of WS. Since the deletions responsible for this
disorder extend well beyond the elastin locus, we have hypothesized
that WS is a contiguous gene disorder (Table 1
).
No previously characterized genes except elastin were mapped to this region of chromosome 7q11.23. To rapidly identify new candidate genes for WS, we refined localization of brain cDNAs that were previously assigned to chromosome 7, but none mapped to 7q11.23. We have begun to develop a physical map for the WS region using phage, cosmids, P1s, and YACs. Using these reagents, we are characterizing the size and location of WS-associated deletions. By identifying and characterizing additional genes from this region, we will define mechanisms underlying other WS features, including the specific learning profile and personality.
| Molecular Genetic Studies of LQT Syndrome Reveal Marked Heterogeneity |
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After developing a quantitative method for diagnosing LQT by ECG, we discovered tight linkage between autosomal-dominant LQT and a polymorphism at HRAS.12 13 This discovery localized an LQT gene to chromosome 11p15.5 and made genetic testing possible in some families. In initial experiments, we found no evidence of recombination between HRAS and LQT. This linkage made HRAS a candidate gene for LQT, a hypothesis supported by the work of other researchers showing that ras proteins modulate cardiac potassium channels.14 Several months later, however, we completed sequencing the HRAS coding region of several unrelated patients and found no mutations, indicating that the LQT locus was probably nearby but was not HRAS itself. In recent mapping experiments, we confined this LQT gene to a 700- to 900-kb region of chromosome 11.14 These studies excluded several candidate genes, including HRAS, two potassium channels (KCNA4 and KCNC1), and the D4 dopamine receptor DRD4.
The first seven families that we studied were linked to chromosome
11p15.5, suggesting that autosomal-dominant LQT might be genetically
homogeneous.11 12 In 1992, however, Benhorin
and colleagues16 reported locus
heterogeneity for LQT, a finding that was rapidly
confirmed by others, including our
group.15 16 17 Our
laboratory subsequently identified two additional LQT loci,
LQT2 on chromosome 7q35-36 and LQT3 on chromosome
3p21-24 (Fig 6
).18 Since several families
in our study remain unlinked, at least one more LQT locus exists.
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We have used two strategies to identify and characterize LQT genes: a
candidate gene approach and positional cloning. The candidate gene
approach relies on likely mechanistic hypotheses based on physiology.
Since LQT is associated with abnormal cardiac repolarization, genes
that encode ion channels or their gene modulators are likely
candidates. We have excluded many candidate genes, including
KCNA5, which we cloned and mapped, and other previously
characterized potassium channel genes.19 We have also
eliminated specific candidate genes for LQT2
(CLCN1, a chloride channel, and CHRM2, a
muscarinic receptor) by linkage analysis using intragenic
polymorphisms developed in our laboratory. We also excluded a gene
encoding the
-1 subunit of a calcium channel (CACNLA2),
which was previously mapped to chromosome 3 and is completely linked to
LQT3.
| HERG and SCN5A Mutations Cause LQT |
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We have not yet defined the molecular mechanisms underlying these
disorders, but our data suggest possibilities. The function of the
protein encoded by HERG is not known, but it has predicted
amino acidsequence homology to potassium channels. HERG
was isolated from a hippocampal cDNA library by homology to the
Drosophila ether a-go-go gene (eag), which
encodes a calcium-modulated potassium channel.22 23
HERG is not the human homologue of eag, however;
it shares only
50% amino acidsequence homology. Potassium
channels are formed from four
subunits,24 either as
homotetramers or heterotetramers.25 These observations
suggest that combinations of normal and mutant HERG
-1
subunits could form abnormal HERG channels, raising the
possibility that HERG mutations have a dominant-negative
effect on cardiac potassium channel function. The mutations that we
identified in HERG are consistent with this
hypothesis, suggesting that chromosome 7linked LQT results from
nonfunctional cardiac potassium channels and reduced repolarizing
current (Fig 8
).
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By contrast, in chromosome 3linked LQT the LQT-associated deletions
identified in SCN5A are likely to result in functional
cardiac sodium channels with altered properties, such as delayed
inactivation or voltage dependence of channel inactivation. It is
unlikely that more deleterious mutations of SCN5A will cause
LQT. A reduction of the total number of cardiac sodium channels, for
example, would be expected to reduce action potential duration, a
phenotype opposite that of LQT. The mutations we identified
cause the deletion of three amino acids, KPQ, in the cytoplasmic linker
between DIII and DIV. The KPQ sequence is highly conserved. This
region is of known importance for fast inactivation, suggesting that
LQT-associated SCN5A mutations reduce or eliminate fast
inactivation of the cardiac sodium channel, thereby prolonging
depolarizing currents (Fig 9
).26 27
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Our data have implications for the mechanisms of arrhythmia in LQT. Two hypotheses have been proposed.28 One suggests that a predominance of left autonomic innervation causes abnormal cardiac repolarization and arrhythmias. The second hypothesis suggests that mutations in cardiac-specific ion channel genes or in genes that modulate cardiac ion channels cause delayed myocellular repolarization. Delayed myocellular repolarization could promote reactivation of L-type calcium channels, resulting in secondary depolarizations,29 30 the likely cellular mechanisms of torsade de pointes arrhythmias. The discovery that two forms of LQT result from mutations in cardiac potassium and sodium channel genes supports the myocellular hypothesis.
| Clinical Implications |
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We have used molecular diagnosis of LQT in families to help define its clinical spectrum.32 In the (chromosome 11linked) families that we have studied, 63% of the LQT gene carriers have had at least one syncopal episode; 37% have never had syncope. Of noncarriers, 7% have a history of syncope. Only 5% of the gene carriers had a history of aborted sudden death. This number underestimates the risk of sudden death in this population because we were unable to determine the gene-carrier status of individuals who died before the study. Even if we assume that everyone who died suddenly in this family was a gene carrier, the incidence of sudden death would be <1% per year. The age of onset of symptoms in LQT gene carriers was a mean of 8 in males and 14 in females. The sexes were evenly represented in the symptomatic group.
We have also examined the ECG findings of LQT gene carriers.32 As expected, the ECG was neither completely sensitive nor specific for diagnosis of LQT. While the mean QTc for gene carriers at 0.49 second was longer than that for noncarriers at 0.42 second, 63% of the population had overlapping QTcs of 0.41 to 0.47 second. Diagnosis of LQT using a cutoff of 0.44 second therefore led to misclassifications. In our study, 5% of LQT gene carriers were falsely classified as normal, whereas 15% of noncarriers were misclassified as affected. Among gene carriers, the range of static QTcs was similar to that for noncarriers and was not useful for predicting risk for symptoms. Therefore, it is clear that other clinical or genetic tools must be used for presymptomatic diagnosis. Nevertheless, the ECG was helpful at the extremes, and a QTc of >0.47 second was completely predictive for gene carriers, whereas a QTc of <0.41 second was completely predictive for noncarriers.
Molecular genetic tests offer the promise of improved diagnosis of LQT. Continued mutational analyses of LQT2 and LQT3 will facilitate genetic testing for these forms of LQT, whereas identification of genes responsible for the chromosome 11linked and other forms of LQT leads to the development of generalized diagnostic tests. Improved diagnostic capacity and better mechanistic understanding may enable rational therapy.
| Summary |
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| Acknowledgments |
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Received April 11, 1995; revision received May 10, 1995; accepted May 17, 1995.
| References |
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