Categorized Genetic Analysis in Childhood-Onset Cardiomyopathy
Circulation: Genomic and Precision Medicine
Abstract
Background:
Childhood-onset cardiomyopathy is a heterogeneous group of conditions the cause of which is largely unknown. The influence of consanguinity on the genetics of cardiomyopathy has not been addressed at a large scale.
Methods:
To unravel the genetic cause of childhood-onset cardiomyopathy in a consanguineous population, a categorized approach was adopted. Cases with childhood-onset cardiomyopathy were consecutively recruited. Based on the likelihood of founder mutation and on the clinical diagnosis, genetic test was categorized to either (1) targeted genetic test with targeted mutation test, single-gene test, or multigene panel for Noonan syndrome, or (2) untargeted genetic test with whole-exome sequencing or whole-genome sequencing. Several bioinformatics tools were used to filter the variants.
Results:
Two-hundred five unrelated probands with various forms of cardiomyopathy were evaluated. The median age of presentation was 10 months. In 30.2% (n=62), targeted genetic test had a yield of 82.7% compared with 33.6% for whole-exome sequencing/whole-genome sequencing (n=143) giving an overall yield of 53.7%. Strikingly, 96.4% of the variants were homozygous, 9% of which were found in 4 dominant genes. Homozygous variants were also detected in 7 novel candidates (ACACB, AASDH, CASZ1, FLII, RHBDF1, RPL3L, ULK1).
Conclusions:
Our work demonstrates the impact of consanguinity on the genetics of childhood-onset cardiomyopathy, the value of adopting a categorized population-sensitive genetic approach, and the opportunity of uncovering novel genes. Our data suggest that if a founder mutation is not suspected, adopting whole-exome sequencing/whole-genome sequencing as a first-line test should be considered.
Introduction
Cardiomyopathy is a clinically and genetically heterogeneous group of conditions.1 A familial pattern mostly inherited as autosomal dominant and largely diagnosed in adulthood, has been associated with many genes.2,3 In childhood-onset cardiomyopathy, genetic evaluation is inconclusive in a large proportion of cases; large cohorts of children with cardiomyopathy, published more than a decade ago, had shown that only one-third to one-fourth of cases had a known cause.4,5 More recent reports have presented a higher detection rate reaching up to 40% to 50%.6–9
Estimates of the prevalence of consanguineous marriage worldwide indicate that nearly 10% of the world’s population are related as second cousins or closer.10 In Saudi Arabia, the high rate of consanguinity, estimated to be around 56%,11 has significantly impacted the prevalence and expression of genetic disorders including conditions that are classically inherited in a dominant fashion.12,13 However, the influence of consanguinity on the genetic cause of childhood-onset cardiomyopathy has not been addressed at a large scale; previously published studies have been mostly conducted on cohorts from nonconsanguineous populations.
In this work, we describe the clinical and molecular profiles of consecutively recruited unrelated Saudi families with childhood-onset cardiomyopathy. Taking into consideration the background of high consanguinity in our population, a categorized approach for genetic evaluation was adopted. To our knowledge, our work represents the largest series of children with cardiomyopathy that underwent whole-exome sequencing (WES)/whole-genome sequencing (WGS) and the largest cohort reported from a consanguineous population.
Methods
The data that support the findings of this study are available from the corresponding author upon reasonable request. The subjects were enrolled in the study after obtaining written informed consent. This project was approved by the Research Advisory Council at King Faisal Specialist Hospital and Research Centre. The methods are available in the Data Supplement.
Results
Clinical Evaluation
Two-hundred five unrelated families with childhood-onset cardiomyopathy, who were referred from different regions of Saudi Arabia, were consecutively recruited over a period of 7 years. The vast majority of the families (n=182; 88.8%) were consanguineous. There were a family history of cardiomyopathy in 105 (51.2%) families. The median age at presentation was 10 months (range:1 day–17 years, average 2.2 years). Cardiological evaluation revealed that 117 (57.1%) children were affected with dilated cardiomyopathy (DCM), 82 (40.0%) with hypertrophic cardiomyopathy (HCM), 7 (3.4%) with isolated or associated left ventricular noncompaction, and 3 (1.5%) with restrictive cardiomyopathy (Figure 1).
Yield of Genetic Test
For genes known to be associated with cardiomyopathy, the yield was 53.7% (110 out of 205 cases). In 62 (30.2%) families, the genetic alteration was identified through Targeted Genetic Test which had a yield of 82.7%. In the second category, 143 cases underwent WES (n=118) or WGS (n=25), which had a yield of 37.3% and 16.0%, respectively (Figure 2).
In multiplex families (n=105), the genetic test was positive in 61.0%, whereas in singleton families it was 46.0% (Figure 3). The yield of genetic test in DCM families was 41.9%; 69.4% of which were uncovered by WES or WGS, whereas in HCM families, the yield was much higher at 72.0%; however, only 22.0% were uncovered by WES or WGS (Table III in the Data Supplement).
In 8 families in which samples from affected children were not available, heterozygous pathogenic mutations were identified in the parents in 5 (Tables III and IV in the Data Supplement).
Types of Variants
Strikingly, 96.4% (106/110) of the families were segregating homozygous variants, whereas only 2.7% (3/110) had de novo heterozygous and 0.9% (1/110) hemizygous variants. Two founder alleles in ELAC2 and ACADVL represented 15.1% and 8.3% of cases, respectively (Table IV in the Data Supplement). However, a tremendous genetic and allelic heterogeneity was observed with 50 different alleles detected in 27 cardiomyopathy-associated genes (Figure 4A, Table III in the Data Supplement). Out of the 50 alleles, 29 (58.0%) were truncating, and 19 (38.0%) were missense (Figure 4B). Half of the variants were novel (Table III in the Data Supplement). No plausible copy number variants or deep intronic variants were detected through WGS.
Modes of Inheritance of Identified Genes
Of the 27 genes identified in this cohort, 22 known to be implicated in autosomal recessive form of cardiomyopathy were detected in 97 families (88.2%) (Figure 4C). Nine (4.4%) families segregated homozygous variants in genes (FLNC, MYLK3, NEXN, VCL) that have only been reported to cause a dominant form of cardiomyopathy, yet their family history was not suggestive of an autosomal dominant pattern of inheritance. The parents were unaffected heterozygous carriers (Figure 5, Table 1). Only 3 families (2.7%) had a de novo dominant form of cardiomyopathy (RAF1, SHOC2), and 1 had an X-linked disease (TAZ).
Case No. | Sex | Fam. code | Cons | Fam. Hx of CMP | Age at presentation | Cardiac findings | Heart transplant (age at transplant) | Alive/deceased (age) | Test | Gene | Mutation | Zyg | Allele frequency (SHGP/gnomAD) | Polyphen-2/SIFT/mutation taster | Clinvar/HGMD | Reference |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | F | D-095 | Yes | No | 6 m | DCM | No | Lost to follow-up | WES | FLNC | c.2122_2127del (p.708_709del) | Hom | 0.0001/NR | NA | NR | This study |
2 | F | R-001 | Yes | No | 20 m | RCM | No | Deceased (4 y) | WES | FLNC | c.6589C>T (p.Arg2197Trp) | Hom | NR | PD/D/D | NR/DM? | Alejandra Restrepo-Cordoba et al14 |
3 | F | D-140 | Yes | Yes | 3 m | DCM | No | Alive (7 y) | WGS | MYLK3 | c.1320delT (p.Ala442fs) | Hom | NR | NA | NR | This study |
4 | M | D-189 | Yes | Yes | 2 m | DCM, ASD II | Yes (2 y) | Alive (27 m) | WES | MYLK3 | c.1320delT (p.Ala442fs) | Hom | NR | NA | NR | This study |
5 | F | D-060 | Yes | Yes | 1.5 y | DCM, LVNC | No | Alive (13 y) | WES | MYLK3 | c.1499G>A (p.Arg500Gln) | Hom | NR/0.0004 | PD/D/D | NR | This study |
6 | M | D-134 | Yes | Yes | 1 y | DCM | No | Deceased (3 y) | WES | NEXN | c.461_462insA (p.Asn154LysfsTer6) | Hom | 0.0003/NR | NA | NR | This study |
7 | F | D-220 | Yes | No | 1 d | DCM | No | Alive (10 y) | WES | NEXN | c.1171C>T (p.Arg391Ter) | Hom | NR/0.00002 | NA | NR | This study |
8 | F | D-164 | Yes | Yes | 9 m | DCM | No | Alive (4 y) | WES | NEXN | c.157G>A (p.Glu53Lys) | Hom | NR/0.00003 | PD/D/D | Vous/DM? | Miszalski-Jamka et al15 |
9 | F | D-137 | Yes | Yes | 4 m | DCM, ASD II | No | Alive (3 y) | WGS | VCL | c.160C>G (p.Leu54Val) | Hom | NR | PD/D/D | NR | This study |
CMP indicates cardiomyopathy; Cons, consanguinity; D, damaging; DCM, dilated cardiomyopathy; DM, disease-causing mutation; F, female; Fam, family; gnomAD, Genome Aggregation Database; HGMD, Human Gene Mutation Database; Hom, homozygous; Hx, history; LVNC, left ventricular noncompaction; M, male; NA, not applicable; NR, not reported; P, pathogenic; PD, probably damaging; RCM, restrictive cardiomyopathy; SHGP, Saudi Human Genome Program; SIFT, Sorting Intolerant From Tolerant; Vous, variant of uncertain significance; WES, whole-exome sequencing; WGS, whole-genome sequencing; and Zyg, zygosity.
Types of Diseases and Their Clinical Clues
In 73% of probands with positive results, no clinical clues to the gene defect could be elicited; the cardiac finding was isolated. In the rest of the patients, developmental delay/hypotonia (14%), eye findings (6%), abnormal skin or hair (3%), and associated syndromic findings (4%) were detected (Figure IA in the Data Supplement). Variants in genes which are known to be implicated in mitochondrial dysfunction were detected in 32% of the families with positive results, whereas genes implicated in fatty acid oxidation defect were detected in 18%; in glycogen storage disease in 12%; in syndromic cardiomyopathy in 12%; and in isolated cardiomyopathy in 26% (Tables III and IV and Figure IB in the Data Supplement).
Variants in sarcomere genes (NRAP, MYLK3, TNNI3, MYBPC3) were found in only 11.8% of cases with positive results, all of whom had DCM except one child who was diagnosed with HCM and was found to have a homozygous truncating variant in MYPBPC3 (Table III in the Data Supplement).
Five patients underwent heart transplantation (DSP [n=2]; TNNI3 [n=1]; PPP1R13L [n=1]; MYLK3 [n=1]) with age at transplantation of 2 to 20 years (Table 1, Table III in the Data Supplement).
Recently Described Cardiomyopathy Genes
In 13 (6.3%) families (Table III in the Data Supplement), homozygous variants were detected in 4 genes (NRAP, MYLK3, KLHL24, PPP1R13L) that have been recently described in association with cardiomyopathy.8,16–19. All of the affected cases had DCM except one who had HCM and a truncating variant in KLHL24. Of note, 5 different truncating variants were detected in NRAP in 7 families with DCM, which represented 14.3% of DCM cases with positive results (Data Supplement). In 2 families with severe form of DCM and wooly hair, 2 homozygous variants were detected in PPP1R13L which has been described to cause a cardiocutaneous form of cardiomyopathy.
Candidate Genes
In 10 (4.9%) families, 8 different homozygous variants were detected in 6 genes (ACACB, AASDH, FLII, RHBDF1, RPL3L, ULK1) that, to our knowledge, have never been reported in association with cardiomyopathy in humans (Figure 6, Table 2, Data Supplement). All the detected variants, which were found in genes encoding for proteins highly expressed in heart muscles, had minor allele frequency of <0.001 in the Saudi Human Genome Program and Genome Aggregation databases and lay within a region of homozygosity that was only shared by the affected case(s). In silico analysis predicted all missense variants to be damaging. In 2 genes (RHBDF1, FLII), 2 different alleles were detected in 3 and in 2 unrelated families, respectively. Two variants, in AASDH and RHBDF1, were frameshifting. The other 6 variants were missense; all of which were predicted by Polyphen-2, Sorting Intolerant From Tolerant, and MutationTaster to be damaging.
Case no. | Sex | Fam code | Cons | Fam. Hx of CMP | Age at presentation | Cardiac findings | Heart transplant | Alive/deceased (age) | Test | Gene | Variant | Zyg | Polyphen-2 /SIFT/Mutation Taster | Allele frequency in SHGP/gnomAD | Supporting evidence* |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | F | D-201 | Yes | No | 5 mo | DCM | No | Alive (6 y) | WES | AASDH | c.3176_3177insTGTT (p.Tyr1061CysfsTer3) | Hom | NA | 0.0008/0.0001 | (1) Ubiquitous expression with highest levels in heart, liver, and kidney; (2) homozygous frameshifting variant. Of note, the variant is within the last exon. |
2 | F | D-174 | Yes | No | 21 d | LVNC | No | Deceased (1 y) | WES | ACACB | c.6305G>A (p.Arg2102Gln) | Hom | PD/D/D | NR/0.000016 | (1) Predominantly expressed in the heart, skeletal muscles, and liver; (2) implicated in the control of fatty acid oxidation; (3) highly conserved amino acid in other species. |
3 | F | D-146 | Yes | No | 5 mo | DCM, LVNC | No | Alive (6.5 y) | WGS | CASZ1 | c.710C>G (p.Ser237Cys) | Hom | PD/D/D | NR/NR | (1) High expression heart, lung, skeletal muscles, and other tissues; (2) mice homozygous for knock-out alleles are lethal with abnormal heart development associated with VSD, and abnormal heart shape and Z line formation (20); (3) highly conserved amino acid in other species. |
5 | F | D-151 | Yes | Yes | 5 mo | DCM, ASD II | No | Alive (3 y) | WES | FLII | c.2020C>G (p.Leu674Val) | Hom | PD/D/D | 0.0008/NR | (1) Strongest expression in skeletal muscles, heart, and lung; (2) 2 different alleles in 2 unrelated cases with a similar cardiac phenotype; (3) homozygous frameshifting variant; (4) both amino acids are highly conserved in other species. |
6 | M | D-071 | Yes | No | 3 mo | DCM | No | Alive (7 y) | WES | c.3718C>T (p.Arg1240Cys) | Hom | PD/D/D | 0.0008/0.00005 | ||
7 | M | D-035 | Yes | No | 1 mo | DCM | No | Alive (8 y) | WES | RHBDF1 | c.1993G>T (p.Gly665Trp) | Hom | PD/D/D | 0.0002/0.0004 | (1) Highly expressed in heart, skeletal muscles, brain, and other tissues; (2) 2 different alleles in 3 unrelated cases with a similar cardiac phenotype; (3) glycine is highly conserved amino acid in other species. |
8 | M | D-057 | Yes | No | 2 mo | DCM | No | Deceased (2.5 y) | WES | c.1212delC (p.Phe405SerfsTer16) | Hom | NA | NR/NR | ||
9 | M | D-222 | Yes | No | 7 mo | DCM | No | Alive (20 m) | WGS | c.1212delC (p.Phe405SerfsTer16) | Hom | NA | NR/NR | ||
10 | F | D-123 | Yes | 9 mo | DCM | No | Deceased (16 m) | WGS | RPL3L | c.347G>A (p.Arg116His) | Hom | PD/D/D | 0.0002/0.00004 | (1) A ribosomal protein with a tissue-specific pattern of expression with the highest levels in heart and skeletal muscles. | |
11 | M | D-104 | Yes | 1.5 mo | DCM | No | Deceased (2 y) | WES | ULK1 | c.2071C>T (p.Arg691Trp) | Hom | PD/D/D | NR/0.0001 | (1) Ubiquitous expression with high levels in heart and skeletal muscles; (2) implicated in mitopathy, the dysregulation of which can lead to cardiomyopathy; (3) highly conserved amino acid in other species. |
CMP indicates cardiomyopathy; Cons, consanguinity; D, damaging; DCM, dilated cardiomyopathy; F, female; Fam, family; gnomAD, Genome Aggregation Database; Hom, homozygous; Hx, history; M, male; NA, not applicable; NR, not reported; P, pathogenic; PD, probably damaging; Poly, polymorphism; SHGP, Saudi Human Genome Program; SIFT, Sorting Intolerant From Tolerant; VSD, ventricular septal defect; WES, whole-exome sequencing; WGS, whole-genome sequencing; Zyg, zygosity.
*
Bioinformatics resources in the Data Supplement.
In addition, we detected a homozygous missense variant in CASZ1 in a child with DCM (Table 2). CASZ1 knock-out in mice leads to abnormal heart development with myocardium hypoplasia, ventricular septal defect, and altered Z line formation.20 A heterozygous loss-of-function variant has been previously reported in a family that segregated a dominant form of DCM.21
Discussion
Diversity of the Genetics of Childhood Cardiomyopathy and the Impact of Consanguinity
In this largest published series of children with cardiomyopathy that underwent WES/WGS, we report the value, yield, and implications of a categorized genetic approach. As a consequence of the common practice of consanguineous marriage in our population, a remarkable difference in the frequency of homozygous mutations was observed. In this study, which had a yield of 53.7%, homozygous variants were detected in 96.4% of the probands. Although not unexpected, this finding is extremely different from what has been known in childhood-onset cardiomyopathy where genetic analysis typically reveals a heterogeneous patterns of inheritance.6–8
The allelic and genetic heterogeneity observed in this study reflects the heterogeneous tribal structure of the Saudi population. With the exception of the 2 prevalent founder mutations in ELAC2 and ACADVL, no single allele represented the vast majority of the genetic causes of cardiomyopathy.
Two other factors had clear impact on the diagnostic yield: positive family history and type of cardiomyopathy. In multiplex families the detection rate was higher compared with singleton families (61% versus 46%) as it was for HCM compared with DCM (72% versus 42%); a finding that is similar to previously published reports.22,23
Sarcomere genes, which are well known to cause a large proportion of cases with HCM,24 were mutated in only 11.8% of cases with positive result. The spectrum of sarcomere genes detected in our cases was also different with NRAP being the most common. Mutated NRAP, recently reported in 2 families,8,14 was found in 7 probands in our cohort which represented 14.3% of DCM cases with positive result, suggesting that it is not an uncommon cause of recessively inherited form of childhood cardiomyopathy.
Recessive Inheritance of Dominant Form of Cardiomyopathy
Several genes are known to cause cardiomyopathy in a dominant and recessive pattern of inheritance.25–27 In our cohort, 9 (4.4%) families segregated homozygous variants in genes (FLNC, MYLK3, NEXN, VCL) that have only been reported to cause a dominant form of cardiomyopathy. The affected children were homozygous, whereas their parents were unaffected heterozygous carriers. The lack of clinical manifestations in the parents suggests that the variants are either nonpenetrant or potentially causative of cardiac involvement at an older age in heterozygous state. The high rate of consanguinity has apparently uncovered these variants that would otherwise be missed.
Clinical Clues to the Genetic Diagnosis and Methods of Genetic testing
The majority (73%) of children that had positive result presented with only, or predominantly, cardiac involvement without a clinical clue to the gene defect which underscores the importance of devising an appropriate approach to the genetic diagnosis. Knowing that detecting a founder mutation is very likely in our highly consanguineous population, we adopted a categorized approach which would give an opportunity for rapid diagnosis at a lower cost compared with multigene panel, WES, or WGS. By adopting this approach, Targeted Genetic Test detected almost one-third of the cases (30.2%) and had a high yield (82.7%). In view of the tribal structure of our population, we predicted at the time of devising our approach that some of the uncovered variants would be in genes not included in commercially available multigene panels or would be found in novel candidate genes. Hence, in cases where clinical clues to a specific genetic defect were not observed or a founder mutation was unlikely or negative, we shifted to the most comprehensive genetic analysis by WES/WGS instead of using a multigene cardiomyopathy panel. In our cases, using WES and WGS detected variants in 13 families (11.8% of positive cases) in 4 genes (KLHL24, MYLK3, NRAP, PPP1R13L) that have been recently implicated in cardiomyopathy and are normally not included in multigene panels.
The clinical use of WGS has been recently investigated as a diagnostic tool in cardiomyopathy. The added advantage of this approach is that it provides a platform for detecting variants (eg, in deep intronic or regulatory regions) that would not be detected by WES or multigene panel. Bagnall et al28 reported the result of performing WGS in adult-onset HCM as a first-line genetic test. A pathogenic variant was detected in 5 of 12 families (42%) that had never received prior genetic testing. We have performed WGS in 25 cases which revealed a yield of 16.0% for variants in cardiomyopathy-associated genes, none of which were outside the coding regions. However, if we had adopted WGS as a first-line test in all our cases it would be expected that we would have a similar yield (53.4%) if not higher should other variants (eg, deep intronic and Copy Number Variants) be detected.
Furthermore, and as indicated by Cirino et al,29 WGS offers the advantage of reanalysis over time to incorporate advances in knowledge. In our cohort, 74 families have more than one child with cardiomyopathy, which is highly suggestive of a genetic cause, and yet 41 (55%) of them had negative WES or WGS. The availability of a comprehensive genetic data in these families provides a continuing opportunity for reanalysis that would hopefully facilitate the identification of new genes for cardiomyopathy.
With the rapid decline in the cost of WGS and the improvement of available tools of filtering and interpreting genetic variants, WGS will likely be a first-line genetic test in many genetically heterogeneous conditions. It is needless to say, however, that the risk of uncovering incidental findings when WES or WGS are used should be taken into account at the time of consenting for the genetic test.30 The genetic analysis in our cases was conducted on a research basis; we opted not to report the incidental findings.
Clinical Implications
Early detection of the genetic cause of cardiomyopathy is critical for the initiation of treatment in treatable conditions; notably, fatty acid oxidation defect and Pompe disease. Furthermore, in cases with severe cardiomyopathy that may require heart transplantation, identifying the genetic cause helps in prioritizing candidacy of transplantation. Cases with mutations in genes implicated in potentially treatable conditions (SLC22A5, ACADVL, GAA), or in multisystem diseases (eg, mitochondrial genes) are not normally considered as appropriate candidates for transplantation.
In addition to providing the appropriate medical intervention to affected cases, identifying the genetic cause in families with cardiomyopathy would serve several other clinical purposes. Establishing the diagnosis helps in providing the proper genetic counseling to patients and their families. Recurrence of the disease in next pregnancy can be prevented either by prenatal diagnosis or preimplantation genetic diagnosis. Also, testing at-risk family members for carrier status and targeted premarital/carrier screening would also be possible to prevent the recurrence of a potentially fatal disease.
The identification of recessive inheritance of dominant genes highlights the importance of long-term follow-up of asymptomatic parents, should they be presymptomatic rather than nonpenetrant. In contrast to classic recessive disease, preventive intervention utilizing preimplantation genetic diagnosis with selecting embryos that are wild type only would provide a prudent approach to avoid the uncertainty of clinical affection in individuals who are heterozygous carriers.
Newly Described Genes Yet to be Confirmed
Our work and previously published data clearly indicate that other genes implicated in cardiomyopathy are yet to be discovered. We report variants in 7 genes (ACACB, AASDH, CASZ1, FLII, RHBDF1, RPL3L, ULK1) that were filtered utilizing several methods. All the detected variants were either novel or have a minor allele frequency of <0.001, predicted to be damaging, segregated with the phenotype in all the tested families, and lay within a region of homozygosity. All the candidate genes encode for proteins that are highly expressed in heart muscles.
Yet, implicating these genes in cardiomyopathy is still very preliminary; biological and functional studies on the encoded proteins and animal models may either confirm or exclude a causal effect. However, we elected to report these variants should other cases be identified to have other alleles in the same genes which would strengthen the association with cardiomyopathy.
Limitations of the Study
The cohort of our study was mostly from consanguineous families which had enriched the results with recessively inherited homozygous variants on the expense of other modes of inheritance. The categorized approach of genetic testing adopted in the study may therefore have limited value in nonconsanguineous population.
In such a highly consanguineous cohort, the risk of bias towards homozygous variants cannot be entirely excluded. Tendency to refer a case for genetic evaluation might have been higher in the presence of consanguinity compared with singleton nonconsanguineous cases which could have resulted in missing de novo mutations. In addition, filtering WES/WGS for homozygous variants in consanguineous cases is relatively simpler than for dominant and de novo variants.
The utilization of a comprehensive genetic analysis with WES/WGS has provided insight on its value and yield; however, a larger multiethnic sample size, especially for WGS, is required to better understand the clinical utility of adopting this approach in pediatric cardiomyopathy.
Conclusions
Our work expands the diversity of genetic cause in childhood cardiomyopathy. It demonstrates the value, yield, and implications of adopting a categorized genetic approach that is population-sensitive. It also illustrates the impact of consanguinity on the prevalence of homozygous variants and on the recessive inheritance of dominant genes. The lack of a genetic diagnosis in a large proportion of cases with childhood cardiomyopathy suggests that adopting WES/WGS as a first-line test may be considered.
Acknowledgments
We thank the patients and their family members for their participation in the study. We would also like to thank members of the sequencing and genotyping core facilities in the Department of Genetics at King Faisal Specialist Hospital and Research Centre.
Footnote
Nonstandard Abbreviations and Acronyms
- DCM
- dilated cardiomyopathy
- HCM
- hypertrophic cardiomyopathy
- WES
- whole-exome sequencing
- WGS
- whole-genome sequencing
Supplemental Material
References
1.
On line Mendelian Inheritance in Man (OMIM). Available at www.omim.org. Accessed September 8, 2019.
2.
Hershberger, RE, Morales, A. Dilated cardiomyopathy overview. Adam, MP, Ardinger, HH, Pagon, RA, Wallace, SE, Bean, LJH, Stephens, K, Amemiya, A, eds. In: GeneReviews [Internet]. University of Washington;2007.
3.
Cirino, AL, Carolyn, H. Hypertrophic cardiomyopathy overview. Adam, MP, Ardinger, HH, Pagon, RA, Wallace, SE, Bean, LJH, Stephens, K, Amemiya, A, eds. In: GeneReviews [Internet]. University of Washington;2008.
4.
Cox GF, Sleeper LA, Lowe AM, Towbin JA, Colan SD, Orav EJ, Lurie PR, Messere JE, Wilkinson JD, Lipshultz SE. Factors associated with establishing a causal diagnosis for children with cardiomyopathy. Pediatrics. 2006;118:1519–1531. doi: 10.1542/peds.2006-0163
5.
Colan SD, Lipshultz SE, Lowe AM, Sleeper LA, Messere J, Cox GF, Lurie PR, Orav EJ, Towbin JA. Epidemiology and cause-specific outcome of hypertrophic cardiomyopathy in children: findings from the pediatric cardiomyopathy registry. Circulation. 2007;115:773–781. doi: 10.1161/CIRCULATIONAHA.106.621185
6.
Kindel SJ, Miller EM, Gupta R, Cripe LH, Hinton RB, Spicer RL, Towbin JA, Ware SM. Pediatric cardiomyopathy: importance of genetic and metabolic evaluation. J Card Fail. 2012;18:396–403. doi: 10.1016/j.cardfail.2012.01.017
7.
Long PA, Evans JM, Olson TM. Diagnostic yield of whole exome sequencing in pediatric dilated cardiomyopathy. J Cardiovasc Dev Dis. 2017;4:11. doi: 10.3390/jcdd4030011
8.
Vasilescu C, Ojala TH, Brilhante V, Ojanen S, Hinterding HM, Palin E, Alastalo TP, Koskenvuo J, Hiippala A, Jokinen E, et al. Genetic basis of severe childhood-onset cardiomyopathies. J Am Coll Cardiol. 2018;72:2324–2338. doi: 10.1016/j.jacc.2018.08.2171
9.
Herkert JC, Abbott KM, Birnie E, Meems-Veldhuis MT, Boven LG, Benjamins M, du Marchie Sarvaas GJ, Barge-Schaapveld DQCM, van Tintelen JP, van der Zwaag PA, et al. Toward an effective exome-based genetic testing strategy in pediatric dilated cardiomyopathy. Genet Med. 2018;20:1374–1386. doi: 10.1038/gim.2018.9
10.
Bittles AH, Black ML. Evolution in health and medicine Sackler colloquium: consanguinity, human evolution, and complex diseases. Proc Natl Acad Sci U S A. 2010;107(suppl 1):1779–1786. doi: 10.1073/pnas.0906079106
11.
el-Hazmi MA, al-Swailem AR, Warsy AS, al-Swailem AM, Sulaimani R, al-Meshari AA. Consanguinity among the Saudi Arabian population. J Med Genet. 1995;32:623–626. doi: 10.1136/jmg.32.8.623
12.
Al-Owain M, Al-Zaidan H, Al-Hassnan Z. Map of autosomal recessive genetic disorders in Saudi Arabia: concepts and future directions. Am J Med Genet A. 2012;158A:2629–2640. doi: 10.1002/ajmg.a.35551
13.
Al-Hassnan ZN, Al-Fayyadh M, Al-Ghamdi B, Shafquat A, Mallawi Y, Al-Hadeq F, Tulbah S, Shinwari ZMA, Almesned A, Alakhfash A, et al. Clinical profile and mutation spectrum of long QT syndrome in Saudi Arabia: the impact of consanguinity. Heart Rhythm. 2017;14:1191–1199. doi: 10.1016/j.hrthm.2017.04.028
14.
Alejandra Restrepo-Cordoba M, Campuzano O, Ripoll-Vera T, Cobo-Marcos M, Mademont-Soler I, Gámez JM, Dominguez F, Gonzalez-Lopez E, Padron-Barthe L, Lara-Pezzi E, et al. Usefulness of genetic testing in hypertrophic cardiomyopathy: an analysis using real-world data. J Cardiovasc Transl Res. 2017;10:35–46. doi: 10.1007/s12265-017-9730-8
15.
Miszalski-Jamka K, Jefferies JL, Mazur W, Głowacki J, Hu J, Lazar M, Gibbs RA, Liczko J, Kłyś J, Venner E, et al. Novel genetic triggers and genotype-phenotype correlations in patients with left ventricular noncompaction. Circ Cardiovasc Genet. 2017;10:e001763. doi: 10.1161/CIRCGENETICS.117.001763
16.
Truszkowska GT, Bilińska ZT, Muchowicz A, Pollak A, Biernacka A, Kozar-Kamińska K, Stawiński P, Gasperowicz P, Kosińska J, Zieliński T, et al. Homozygous truncating mutation in NRAP gene identified by whole exome sequencing in a patient with dilated cardiomyopathy. Sci Rep. 2017;7:3362. doi: 10.1038/s41598-017-03189-8
17.
Tobita T, Nomura S, Morita H, Ko T, Fujita T, Toko H, Uto K, Hagiwara N, Aburatani H, Komuro I. Identification of MYLK3 mutations in familial dilated cardiomyopathy. Sci Rep. 2017;7:17495. doi: 10.1038/s41598-017-17769-1
18.
Hedberg-Oldfors C, Abramsson A, Osborn DPS, Danielsson O, Fazlinezhad A, Nilipour Y, Hübbert L, Nennesmo I, Visuttijai K, Bharj J, et al. Cardiomyopathy with lethal arrhythmias associated with inactivation of KLHL24. Hum Mol Genet. 2019;28:1919–1929. doi: 10.1093/hmg/ddz032
19.
Falik-Zaccai TC, Barsheshet Y, Mandel H, Segev M, Lorber A, Gelberg S, Kalfon L, Ben Haroush S, Shalata A, Gelernter-Yaniv L, et al. Sequence variation in PPP1R13L results in a novel form of cardio-cutaneous syndrome. EMBO Mol Med. 2017;9:1326. doi: 10.15252/emmm.201708209
20.
Liu Z, Li W, Ma X, Ding N, Spallotta F, Southon E, Tessarollo L, Gaetano C, Mukouyama YS, Thiele CJ. Essential role of the zinc finger transcription factor Casz1 for mammalian cardiac morphogenesis and development. J Biol Chem. 2014;289:29801–29816. doi: 10.1074/jbc.M114.570416
21.
Qiu XB, Qu XK, Li RG, Liu H, Xu YJ, Zhang M, Shi HY, Hou XM, Liu X, Yuan F, et al. CASZ1 loss-of-function mutation contributes to familial dilated cardiomyopathy. Clin Chem Lab Med. 2017;55:1417–1425. doi: 10.1515/cclm-2016-0612
22.
Towbin JA, Lowe AM, Colan SD, Sleeper LA, Orav EJ, Clunie S, Messere J, Cox GF, Lurie PR, Hsu D, et al. Incidence, causes, and outcomes of dilated cardiomyopathy in children. JAMA. 2006;296:1867–1876. doi: 10.1001/jama.296.15.1867
23.
Morita H, Rehm HL, Menesses A, McDonough B, Roberts AE, Kucherlapati R, Towbin JA, Seidman JG, Seidman CE. Shared genetic causes of cardiac hypertrophy in children and adults. N Engl J Med. 2008;358:1899–1908. doi: 10.1056/NEJMoa075463
24.
Alfares AA, Kelly MA, McDermott G, Funke BH, Lebo MS, Baxter SB, Shen J, McLaughlin HM, Clark EH, Babb LJ, et al. Results of clinical genetic testing of 2,912 probands with hypertrophic cardiomyopathy: expanded panels offer limited additional sensitivity. Genet Med. 2015;17:880–888. doi: 10.1038/gim.2014.205
25.
Zahka K, Kalidas K, Simpson MA, Cross H, Keller BB, Galambos C, Gurtz K, Patton MA, Crosby AH. Homozygous mutation of MYBPC3 associated with severe infantile hypertrophic cardiomyopathy at high frequency among the Amish. Heart. 2008;94:1326–1330. doi: 10.1136/hrt.2007.127241
26.
Norgett EE, Hatsell SJ, Carvajal-Huerta L, Cabezas JC, Common J, Purkis PE, Whittock N, Leigh IM, Stevens HP, Kelsell DP. Recessive mutation in desmoplakin disrupts desmoplakin-intermediate filament interactions and causes dilated cardiomyopathy, woolly hair and keratoderma. Hum Mol Genet. 2000;9:2761–2766. doi: 10.1093/hmg/9.18.2761
27.
Awad MM, Dalal D, Tichnell C, James C, Tucker A, Abraham T, Spevak PJ, Calkins H, Judge DP. Recessive arrhythmogenic right ventricular dysplasia due to novel cryptic splice mutation in PKP2. Hum Mutat. 2006;27:1157. doi: 10.1002/humu.9461
28.
Bagnall RD, Ingles J, Dinger ME, Cowley MJ, Ross SB, Minoche AE, Lal S, Turner C, Colley A, Rajagopalan S, et al. Whole genome sequencing improves outcomes of genetic testing in patients with hypertrophic cardiomyopathy. J Am Coll Cardiol. 2018;72:419–429. doi: 10.1016/j.jacc.2018.04.078
29.
Cirino AL, Lakdawala NK, McDonough B, Conner L, Adler D, Weinfeld M, O’Gara P, Rehm HL, Machini K, Lebo M, et al. A comparison of whole genome sequencing to multigene panel testing in hypertrophic cardiomyopathy patients. Circ Cardiovasc Genet. 2017;10:e001768.
30.
Green RC, Berg JS, Grody WW, Kalia SS, Korf BR, Martin CL, McGuire AL, Nussbaum RL, O’Daniel JM, Ormond KE, et al; American College of Medical Genetics and Genomics. ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med. 2013;15:565–574. doi: 10.1038/gim.2013.73
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© 2020 American Heart Association, Inc.
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Received: 3 March 2020
Accepted: 17 August 2020
Published online: 1 September 2020
Published in print: October 2020
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This work was supported by King Abdulaziz City for Science and Technology (KACST) and the National Comprehensive Plan for Science and Technology (NCPST; grants numbers: 08-MED489-20 and 11-MED1439-20).
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- Unveiling the Spectrum of Minor Genes in Cardiomyopathies: A Narrative Review, International Journal of Molecular Sciences, 25, 18, (9787), (2024).https://doi.org/10.3390/ijms25189787
- The outcome of genetic and non-genetic pediatric cardiomyopathies, The Egyptian Heart Journal, 76, 1, (2024).https://doi.org/10.1186/s43044-024-00473-7
- Cardiomyopathies in 100,000 genomes project: interval evaluation improves diagnostic yield and informs strategies for ongoing gene discovery, Genome Medicine, 16, 1, (2024).https://doi.org/10.1186/s13073-024-01390-9
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- Exploring the Regulation and Function of Rpl3l in the Development of Early-Onset Dilated Cardiomyopathy and Congestive Heart Failure Using Systems Genetics Approach, Genes, 15, 1, (53), (2023).https://doi.org/10.3390/genes15010053
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- CASZ1: Current Implications in Cardiovascular Diseases and Cancers, Biomedicines, 11, 7, (2079), (2023).https://doi.org/10.3390/biomedicines11072079
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