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Eur J Hum Genet. 2009 June; 17(6): 811–819.
Published online 2009 January 14. doi:  10.1038/ejhg.2008.255
PMCID: PMC2916734
NIHMSID: NIHMS80774

Linkage analysis of left ventricular outflow tract malformations (aortic valve stenosis, coarctation of the aorta, and hypoplastic left heart syndrome)

Abstract

The left ventricular outflow tract (LVOT) malformations aortic valve stenosis (AVS), coarctation of the aorta (CoA), and hypoplastic left heart syndrome (HLHS) are significant causes of infant mortality. These three malformations are thought to share developmental pathogenetic mechanisms. A strong genetic component has been demonstrated earlier, but the underlying genetic etiologies are unknown. Our objective was to identify genetic susceptibility loci for the broad phenotype of LVOT malformations. We genotyped 411 microsatellites spaced at an average of 10 cM in 43 families constituting 289 individuals, with an additional 5 cM spaced markers for fine mapping. A non-parametric linkage (NPL) analysis of the combined LVOT malformations gave three suggestive linkage peaks on chromosomes 16p12 (NPL score (NPLS)=2.52), 2p23 (NPLS=2.41), and 10q21 (NPLS=2.14). Individually, suggestive peaks for AVS families occurred on chromosomes 16p12 (NPLS=2.64), 7q36 (NPLS=2.31), and 2p25 (NPLS=2.14); and for CoA families on chromosome 1q24 (NPLS=2.61), 6p23 (NPLS=2.29), 7p14 (NPLS=2.27), 10q11 (NPLS=1.98), and 2p15 (NPLS=2.02). Significant NPLS in HLHS families were noted for chromosome 2p15 (NPLS=3.23), with additional suggestive peaks on 19q13 (NPLS=2.16) and 10q21 (NPLS=2.07). Overlapping linkage signals on 10q11 (AVS and CoA) and 16p12 (AVS, CoA, and HLHS) led to higher NPL scores when all malformations were analyzed together. In conclusion, we report suggestive evidence for linkage to chromosomes 2p23, 10q21, and 16p12 for the LVOT malformations of AVS, CoA, and HLHS individually and in a combined analysis, with a significant peak on 2p15 for HLHS. Overlapping linkage peaks provide evidence for a common genetic etiology.

Keywords: heart defects, congenital, embryonic and fetal development, hereditary disease, pediatrics

Introduction

Congenital cardiovascular malformations (CVMs) are among the most common birth defects in the United States. At a birth prevalence of 5–8/1000 live births, they account for ¼ of all birth defects.1 Despite recent medical and surgical advances, CVMs still cause significant mortality and morbidity.

CVMs may be classified by the specific anatomic defect, the clinical presentation (eg cyanotic vs acyanotic), or the developmental mechanism perturbed during cardiogenesis. Aortic valve stenosis (AVS), coarctation of the aorta (CoA), and hypoplastic left heart syndrome (HLHS) comprise the group of CVMs that collectively result in obstruction of the left ventricular outflow tract (LVOT). These three malformations combined have an estimated birth prevalence of 1/1000 and cause 15–20% of medically significant CVMs.1, 2, 3 The rates of LVOT malformations are higher in males and more common among those of White compared with those of Black ethnicity. They are also responsible for a major portion of the mortality from CVMs, in particular due to the high mortality of HLHS (1-year survival of 60–70%) even with surgical palliation.4

The etiologies of LVOT malformations are likely complex, with environmental exposures, chromosomal abnormalities, and one or more gene defects all contributing. Exposure of the developing fetus to organic solvents or high levels of phenylalanine (as part of maternal phenylketonuria) has been associated with LVOT malformations (reviewed in Jenkins et al.5). These malformations may be seen in conjunction with chromosomal defects, such as 45,X (Turner's syndrome)6 and del11q23 (Jacobsen's syndrome).7 Overall, roughly 10–15% of individuals with an LVOT malformation have a chromosome abnormality.8 NOTCH1 mutations have been reported in two families with bicuspid aortic valve (BAV) and calcific AVS,9 in sporadic BAV,10, 11 and recently by our group in AVS, CoA, and HLHS.12 NKX2-5 mutations have also been observed rarely in cases of LVOT malformations.13, 14 However, the exact cause for most LVOT malformations is unknown.

Recurrence of these malformations in families has been reported for AVS, CoA, and HLHS. Epidemiology studies have documented a high concordance for LVOT malformations among families with multiple CVMs, although not necessarily of the same LVOT malformation within the family. Our group and others15, 16 have also noted a much higher rate (~5.5-fold) of BAV among first-degree relatives of children with severe LVOT malformations compared with the general population, suggesting that BAV may be a forme fruste of the more serious LVOT malformations.

We went on to study the inheritance of these malformations in more detail, and showed a strong genetic component for the LVOT malformations.17 The heritability of BAV among first-degree relatives of individuals with AVS, CoA, or HLHS was estimated at 50%, with sibling recurrence rates for AVS, CoA, or HLHS >30. Segregation analysis was most consistent with a complex genetic inheritance involving 1–6 loci. A model of an autosomal dominant inheritance pattern with reduced penetrance was also consistent in some families.

The epidemiology studies above, combined with our recent NOTCH1 molecular genetic findings in AVS, CoA, and HLHS subjects (along with earlier reports in BAV), support the concept of a unifying genetic mechanism for an LVOT malformation phenotype. The inheritance analyses also suggest that these malformations may be caused by a limited number of genes. We thus hypothesized that LVOT malformation susceptibility loci may be identified by a traditional linkage approach using multiplex families. We report here the results of the first genome-wide linkage analysis of the broad phenotype of LVOT malformations, showing suggestive linkage signals on chromosomes 2p23, 10q21, and 16p12. Additional peaks were noted for AVS, CoA, and HLHS when analyzed separately.

Materials and methods

Subject recruitment

Families were recruited from two pediatric tertiary care centers with an IRB-approved protocol. Detailed information on many families has been described earlier.15, 17 Probands with AVS, CoA, and HLHS were ascertained and pedigrees obtained. Those families with at least two members affected with an LVOT malformation were included in the study. Diagnosis of the CVM was confirmed by echocardiography, cardiac catheterization, or direct observation at surgery. We defined the malformations as follows: AVS – congenital obstruction of the systemic outflow tract at the level of the valve (includes trileaflet or bileaflet aortic valve); CoA – a hemodynamically significant narrowing of the thoracic aorta, usually distal to the left subclavian artery (may or may not also have hypoplasia of the aortic arch); HLHS – mitral valve atresia or stenosis and aortic valve atresia or stenosis with hypoplasia of the left ventricle and aortic arch. We included individuals if they had a BAV in addition to their primary malformation, and also included individuals with CoA and VSD or AVS. We excluded those individuals who had interrupted aortic arch or Shone complex, any other type of CVM in addition to an LVOT malformation (except as mentioned earlier), a known chromosomal abnormality, or were diagnosed with a specific syndrome. We also gathered detailed clinical data, including pregnancy, medical and surgical histories on each family member enrolled. Wherever possible, immediate family members underwent echocardiography to assess for any structural abnormalities. Any individuals identified with a BAV on echocardiography were considered to be affected. Blood samples were collected, and lymphocytes were transformed using EBV to establish cell lines. DNA was extracted from the transformed lymphoblasts with the PureGene kit (Gentra, Minneapolis, MN, USA).

Genotyping

We performed genotyping using the Applied Biosystems (Foster City, CA, USA) medium-density linkage mapping set. This set contains 411 dinucleotide microsatellite markers spaced on average at 10 cM throughout the genome. After PCR as per the manufacturer's protocols, products were pooled and the fragments were resolved on an ABI 3100 or 3730 sequencer. Additional markers spaced on average at 5 cM were selected from the high-density linkage mapping set for chromosomes 2 (6 markers), 10 (7 markers), and 16 (4 markers) for more detailed mapping around the highest linkage peaks identified in the initial genotyping.

Allele calling and quality control metrics

Allele calling and initial quality checks were carried out with the Applied Biosystems proprietary GeneMapper software. Internal replicates (a randomly selected individual) and an external control (CEPH sample 1347-02) were used for each marker for quality control. The genotyping discrepancy was 0.86%. Data were inspected for genotyping errors initially with the program PEDCHECK,18 and then with the error routine contained in MERLIN19 to identify unlikely genotypes from double recombination events. Any identified inconsistencies were returned to the laboratory for re-genotyping.

Data analysis

Parametric analysis was performed with the program MERLIN using a dominant model with reduced penetrance (80%) and no phenocopies, based on our earlier segregation analysis.17 Heterogeneity LOD (HLOD) scores were calculated in a multipoint linkage analysis, in order to account for the possibility that not all families may segregate for the LVOT malformation at the same locus. The proportion of families contributing to the linkage peak (designated as α) was recorded. Non-parametric linkage analysis was executed in the ALLEGRO linkage package.20 Non-parametric linkage scores (NPLS) were calculated in a multipoint analysis using the Sall allele-sharing score functions. Analysis was performed first for all the three malformations as a combined LVOT phenotype, and then separately by individual diagnosis. Suggestive LOD and NPL score cut points were >1.90, and significant scores were >3.0.

Power calculations were also performed for the parametric linkage analysis, using the same parameters. Pedigrees were entered into the SIMULATE program,21 and 1000 replicates were created. We ran these in SLINK22, 23 to generate expected LOD scores. Assuming a penetrance of 80% and locus homogeneity, the expected LOD scores for these pedigrees are 5.66, 5.09, and 4.45 at recombination rates (θ) of 0.0, 0.05, and 0.10, respectively. The power to detect linkage at a LOD score of >3.0 is 0.97 (95% confidence interval of 0.964–0.985).

Sequencing

Direct sequencing was performed with dideoxy BigDye terminator chemistry and run on a capillary sequencer (ABI3730).

Results

Phenotyping

A total of 44 families comprising 299 individuals were collected. One family was subsequently excluded from analysis because of non-paternity at several points in the pedigree, leaving 43 families of 289 individuals (Supplementary Figure). The average pedigree size was 6.80 (range 3–21).

Echocardiography studies were carried out in 251/289 individuals (Table 1). Families were divided by a hierarchy using the most severe malformation identified within the family (ranked HLHS, CoA, and AVS from worst to least) into AVS (12 families of 90 individuals), CoA (20 families of 124 individuals), or HLHS (11 families of 75 individuals). All the AVS families had multiple individuals with aortic valve disease; 2 of 12 probands had BAV and AVS. Ten of the CoA families had two or more individuals with a CoA, some of which had additional members with AVS or BAV. The other ten CoA families had one member with a CoA and one or more members with congenital AVS or BAV. Among the HLHS families, five had two individuals with HLHS, and one had an individual with HLHS and one with CoA. Some of these HLHS families had additional affected members with AVS or BAV. The remaining of the HLHS families had one member with HLHS and other family members with congenital AVS or BAV.

Table 1
Anatomic malformations of subjects (proband and additional affected relatives) by sex

Genome-wide linkage scan

The results of the linkage analysis on the initial 10 cM genome-wide scan are shown in Figures 1 and and2,2, Table 2 (all LVOT phenotypes) and the Supplementary Table (AVS, CoA, and HLHS data separately). We found evidence of suggestive linkage on chromosome 2p23.2 (parametric HLOD=2.20; NPLS=2.25), chromosome 10q21.2 (parametric HLOD=0.89; NPLS=2.57), and chromosome 16p12.2 (parametric HLOD=2.25; NPLS=2.03). Analysis of each malformation individually noted overlapping peaks and additional peaks unique to each malformation (Figures 1 and and2).2). AVS malformation families had suggestive peaks on chromosomes 16p12 (NPLS=2.64), 7q36 (NPLS=2.31), and 2p25 (NPLS=2.14); CoA families on chromosome 1q24 (NPLS=2.61), 6p23 (NPLS=2.29), 7p14 (NPLS=2.27), 10q11 (NPLS=1.98), and 2p15 (NPLS=1.90). Significant NPL scores in HLHS families were noted for chromosome 2p15 (NPLS=3.17), with additional suggestive peaks on chromosomes 19q13 (NPLS=2.16) and 10q21 (NPLS=1.94).

Figure 1
Genome-wide heterogeneity LOD (HLOD) score results for 43 families with left ventricular outflow tract (LVOT) malformations in the initial 10 cM scan, by chromosome and position. HLOD score results for (a) AVS families, (b) CoA families, (c) HLHS ...
Figure 2
Genome-wide non-parametric LOD score results for 43 families with left ventricular outflow tract (LVOT) malformations in the initial 10 cM scan, by chromosome and position. NPL score (NPLS) results for (a) AVS families, (b) CoA families, (c) HLHS ...
Table 2
NPL and LOD scores for linkage analysis of 43 families with left ventricular outflow tract malformations

On the basis of this information, additional genotyping was performed, and analysis was repeated for chromosomes 2, 10, and 16. As the NPL analysis provided the maximal score in all cases, only those results are shown. An increase in NPL scores was obtained on chromosomes 2 and 16 with the additional more closely spaced markers.

Analysis of the three chromosomes by individual diagnosis allows assessment of the contribution of each to the combined LVOT malformation peak (Figure 3). Chromosome 2 shows closely aligned peaks for AVS, CoA, and HLHS for 20–100 cM genetic positions, but overlaps occur only on the shoulders of the peaks. Chromosome 10 shows two interesting areas: overlapping AVS and CoA peaks lead to a slightly higher combined peak (at position 15–20 cM), with a similar phenomenon at position 65–80 cM with overlaps of CoA and HLHS peaks. A clear increase in the combined NPLS can be observed with the co-occurrence of AVS, CoA, and HLHS peaks on chromosome 16 from position 35 to 45 cM.

Figure 3
Linkage result NPLS for chromosomes 2, 10, and 16 with additional markers at 5 cM intervals, by phenotype – ALL (combined LVOT), AVS, CoA, and HLHS. The line indicates threshold for suggestive NPLS (1.9) and significant NPLS (3.0).

Sequencing

The SMYD1 gene is situated at the edge of the peak on chromosome 2. All 10 exons and the exon/intron boundaries were sequenced in at least one affected individual from each family. No segregating mutations were identified.

Discussion

This is the first study to perform linkage analysis on families with multiple LVOT malformations considered as a combined LVOT malformation phenotype. Three novel regions with suggestive linkage were identified on chromosomes 2p23.2, 10q21.2, and 16p12.2. All individual malformations also show suggestive linkage, with a significant result on 2p23.2 for the HLHS families. There is an overlap of some linkage peaks for the individual malformations, suggesting that the locus may contribute a general susceptibility to develop an LVOT malformation, rather than conferring risk for a specific malformation.

The lack of a single strong linkage signal reveals the locus heterogeneity and complex inheritance of the LVOT malformations. Not more than half of the families segregated at any one locus (see α values, Table 2). In addition, several families contributed to more than one peak, similar to the earlier observations for BAV.24 This result supports our previous multiplex relative risk analysis, which indicated that disease susceptibility may require one to six loci.17 Although this study had adequate power to identify single locus inheritance, we did not have the power to detect more complex inheritance patterns.

Earlier studies on BAV24 have detected linkage to chromosomes 18q21, 5q21, and 13q34, and BAV with calcific AVS presenting in later ages has been attributed to NOTCH1 on 9q34 (Garg et al9). The highest LOD score observed in this study for any of these loci occurred in one family (Pedigree 80) that had a LOD score of 1.20 at marker D18S61 (chromosome 18q22.2). This family was ascertained by a proband with congenital AVS. A paternal first cousin had CoA. The proband's sibling and father were subsequently found to have asymptomatic BAV. Thus, we were unable to replicate any of the earlier linkage peaks.

The strength of this study is the careful phenotyping performed by echocardiography. We were able to include many additional families solely on the basis of finding asymptomatic BAV among relatives of a proband, which would otherwise have been considered an isolated case in the family. Screening as many relatives as possible also allowed proper labeling of affected and unaffected individuals. Although it is possible to argue that inclusion of milder malformations would increase heterogeneity, multiple studies have observed the highly variable expressivity of the LVOT malformations.15, 16, 17, 25 Additionally, in an earlier linkage analysis of BAV, inclusion of associated CVMs resulted in a gain of linkage signal.24 Thus, not including these milder malformations would have resulted in a loss of power.

A potential drawback of our study is the phenotypic heterogeneity. Several lines of evidence point to a common etiology of AVS, BAV, CoA, and HLHS, supporting the choice to combine these families for analysis. Many epidemiology and family studies note the co-occurrence of different combinations of AVS, BAV, CoA, and HLHS within families.9, 15, 16, 17, 24, 25, 26 To ensure that we were not losing information by combining the phenotypes, we performed linkage analysis on each of the malformations individually. Contribution of each individual malformation to the highest peaks for the combined LVOT malformation varied from location to location. Greatest concordance of the peaks was observed for chromosome 16. Peaks for each malformation tended to cluster in the same location, although the peaks were diffuse and not always centered at the same point. Whether this is a function of the NPL analysis itself (which cannot derive precise locations, leading to broad linkage peaks) or separate, but closely placed, loci underlying each malformation is not known. Collection of more families with finer spaced genotyping may help answer this question.

We searched for possible candidate genes under the linkage peaks, based on knowledge learned from animal models. These models have shown that interacting molecular pathways are necessary for normal formation of the ventricles, their outflow tracts, semilunar valves, and respective great arteries.27, 28 Mouse knock-out models of SMYD1,29 Nrg1,30 ErbB2,31 ErbB4,32 and Notch133, 34, 35 exhibit primary ventricular hypoplasia or reduced wall thickness. The transcription factor NFATc is implicated in semilunar valve formation,36, 37 whereas mice heterozygous for eNos mutation show BAV.38 Mutations in endothelin 1 (Edn1),39 endothelin-A receptor (Ednra) and ECE1,40, 41 and gridlock/HEY2/HRT242, 43, 44 (among others) lead to aortic arch malformations.

In addition to intrinsic pattern formation, cardiomyocyte, endocardium, valve, and great vessel morphogenesis requires blood-flow-directed remodeling. Primary malformations that affect blood flow into either ventricle may result in secondary hypoplasia, as seen in chick,45 fetal lamb,46 and zebrafish47 models in which restriction of LV inflow produces a phenotype similar to HLHS, and restoration of blood flow rescues the phenotype.48 Corroborative human evidence has been found by prenatal ultrasounds in fetuses affected with HLHS, which show worsening of LV hypoplasia as gestation progresses.49, 50 This secondary effect, along with other differences between humans and mouse, may explain why there are no animal models that precisely mimic LVOT malformations.

One gene, SMYD1 on chromosome 2, was a particularly compelling candidate as the mouse knock-out model shows ventricular hypoplasia.29 We were not able to identify segregating mutations in this gene, however. Given the broad linkage peaks, investigation of other candidates will require a narrowing of the list through fine mapping before proceeding further.

We have recently identified NOTCH1 mutations that alter Notch signaling in human subjects with sporadic AVS, CoA, and HLHS. Our lack of linkage to the NOTCH1 locus on 9q34 highlights the complex genetic nature of the LVOT malformations, and the strengths and weaknesses of different techniques used to identify the precise gene defects. Linkage analysis is a powerful approach to identify the involvement of a highly penetrant gene, particularly if applied to a single large family. It performs poorly if there are multiple common but weakly penetrant susceptibility loci, which are better identified in genome-wide association studies. In turn, multiple rare variants in one gene (acting in concert with other loci) will not be found in association studies. These will only be identified by resequencing of candidate genes, the technique we used to identify rare NOTCH1 susceptibility variants in AVS, CoA, and HLHS subjects. Thus, it is likely that all these techniques (linkage analysis of large families, association studies in isolated affected individuals, and resequencing) will be required to uncover the genetic etiology of LVOT malformations.

In summary, we report suggestive evidence for linkage to chromosomes 2p23, 10q21, and 16p12 for the combined LVOT malformation phenotype and for the individual phenotypes of AVS, CoA, and HLHS, with a significant linkage signal for HLHS on 2p23. Additional suggestive peaks unique to AVS (16p12, 7q36), CoA (1q24, 6p23, 7p14), and HLHS (19q13) were also found. This provides the initial phase for gene discovery for these malformations, and offers support to the concept of common etiologies and perhaps a final common pathway influencing all these malformations. Further collection of pedigrees and the addition of fine mapping are currently in progress to confirm our initial results and narrow the regions for candidate gene screening.

Acknowledgments

Funding support: NIH HL70823 and HD39056, and the Research Institute at Nationwide Children's Hospital to KLM, and the NIH HD43372 to JWB. The authors declare no conflicts of interest.

Footnotes

Supplementary Information accompanies the paper on European Journal of Human Genetics website (http://www.nature.com/ejhg)

Supplementary Material

Supplementary Figure 1

Supplementary Figure 2

Supplementary Figure 3

Supplementary Table

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