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Primary Myocardial Fibrosis as an Alternative Phenotype Pathway of Inherited Cardiac Structural Disorders

Originally publishedhttps://doi.org/10.1161/CIRCULATIONAHA.117.032175Circulation. 2018;137:2716–2726

    Abstract

    Background:

    Myocardial fibrosis is a common postmortem finding among young individuals with sudden cardiac death. Because there is no known single cause, we tested the hypothesis that some cases of myocardial fibrosis in the absence of identifiable causes (primary myocardial fibrosis [PMF]) are associated with genetic variants.

    Methods:

    Tissue was obtained at autopsy from 4031 consecutive individuals with sudden cardiac death in Northern Finland, among whom PMF was the only structural finding in 145 subjects with sudden cardiac death. We performed targeted next-generation sequencing using a panel of 174 genes associated with myocardial structure and ion channel function when autopsies did not identify a secondary basis for myocardial fibrosis. All variants with an effect on protein and with a minor allele frequency <0.01 were classified as pathogenic or variants of uncertain significance on the basis of American College of Medical Genetics consensus guidelines.

    Results:

    Among the 96 specimens with DNA passing quality control (66%), postmortem genetic tests identified 24 variants of known or uncertain significance in 26 subjects (27%). Ten were pathogenic/likely pathogenic variants in 10 subjects (10%), and 14 were variants of uncertain significance in 11 genes among 16 subjects (17%). Five variants were in genes associated with arrhythmogenic right ventricular cardiomyopathy, 6 in hypertrophic cardiomyopathy–associated genes, and 11 in dilated cardiomyopathy–associated genes; 2 were not associated with these disorders. Four unique variants of uncertain significance cosegregated among multiple unrelated subjects with PMF. No pathogenic/likely pathogenic variants were detected in ion channel–encoding genes.

    Conclusions:

    A large proportion of subjects with PMF at autopsy had variants in genes associated with arrhythmogenic right ventricular cardiomyopathy, dilated cardiomyopathy, and hypertrophic cardiomyopathy without autopsy findings of those diseases, suggesting that PMF can be an alternative phenotypic expression of structural disease–associated genetic variants or that risk-associated fibrosis was expressing before the primary disease. These findings have clinical implications for postmortem genetic testing and family risk profiling.

    Introduction

    Editorial, see p 2727

    Clinical Perspective

    What Is New?

    • Postmortem genetic studies identify potentially relevant genetic variants in cardiac structure encoding genes in almost one third of individuals with sudden cardiac death with primary myocardial fibrosis as the only significant finding at autopsy.

    • Variants that have been previously detected in families with dilated, hypertrophic, or arrhythmogenic right ventricular cardiomyopathy are seen in these individuals with primary myocardial fibrosis sudden cardiac death, suggesting that primary myocardial fibrosis can be an alternative phenotypic expression of structural disease–associated genetic variants or that risk-associated fibrosis was expressing before the primary disease.

    What Are the Clinical Implications?

    • Postmortem genetic studies in individuals with sudden cardiac death associated with primary myocardial fibrosis, for the purpose of assessing a possible heritable component and subsequent family screening, should include a panel inclusive of multiple known inherited structural diseases, regardless of the presence or absence of classic anatomic findings of arrhythmogenic right ventricular cardiomyopathy, hypertrophic cardiomyopathy, or dilated cardiomyopathy.

    Sudden cardiac death (SCD) remains a major cause of death in Western societies despite the many strategies that have been explored in attempts to predict and prevent cardiac arrest.1 Up to 50% of SCDs are first cardiac events occurring in the absence of previously identified cardiac disease. Although the cumulative incidence of SCD has not decreased, the proportion of SCDs resulting from coronary artery disease has decreased, and the proportion of nonischemic causes has increased.2

    Secondary myocardial fibrosis is common among a diverse group of diseases that associate with SCD risk such as coronary heart disease, hypertensive left ventricular hypertrophy, healed myocarditis, dilated cardiomyopathies (DCMs) of various causes, myotonic dystrophy and related disorders, and inherited structural disorders. However, we have observed that the most common nonischemic cause of SCD among young subjects in Northern Finland was myocardial fibrosis in the absence of another associated cause (ie, primary myocardial fibrosis [PMF]).3 A recent study from the United Kingdom also identified left ventricular fibrosis as a major cause of SCD among young athletes.4 The cause of PMF in subjects with SCD, in the absence of disorders in which fibrosis is defined as secondary or is a component of a specific structural disease, is unknown. Causes may include unapparent or healed acquired diseases and genetically based disorders.

    Major advances have been made in the genetic basis for rare cardiovascular syndromes, including both structural and ion channel causes. The strategy of postmortem genetic testing after SCD and a subsequent negative autopsy improves the identification of the cause of death,57 benefiting diagnosis in both probands and identification of family members at potential risk. High-throughput next-generation sequencing (NGS) can generate data on many genes, and even on the whole exome, in a matter of a few days. With current methods, such studies can be done even with DNA from origins such as formalin-fixed paraffin-embedded samples, recognizing that the yield of high-quality DNA will be lower from these sources than from DNA-preserving blood samples or tissue storage or blood spot cards. Nevertheless, challenges remain as to whether observed variants are properly classified as disease-causing versus variants having undetermined or uncertain significance (VUS). The disease-causing label is more reliable when multiple unrelated subjects have disease associated with the same variant or there is cosegregation of the variant associated with disease in single families.

    The aim of this study was to test the hypothesis that some SCDs with only PMF at autopsy may have unique genetic backgrounds that associate with myocardial fibrosis. Furthermore, our aim was to determine whether variants were identified in ion channel coding genes to assess whether some of the SCDs might actually be caused by inherited ion channelopathies independently of myocardial fibrosis.

    Methods

    The data, analytical methods, and study materials will be made available to other researchers for the purposes of reproducing the results or replicating the procedure. Inquiries can be directed to the corresponding author.

    Study Population (The Fingesture Study)

    The study population was derived from the Fingesture study, which has stored both clinical and autopsy data from 4031 consecutive individuals with SCD between 1998 and 2012 in Northern Finland (Figure 1). In all cases, medicolegal autopsy was performed at the Department of Forensic Medicine, University of Oulu, Oulu, Finland, by experienced forensic pathologists, each performing >100 autopsies a year, using contemporary guidelines for the diagnosis of cause of death.8 In this autopsy-based study, sudden death was defined as a witnessed death within 6 hours of the onset of symptoms or an unwitnessed death within 24 hours of the individual last being seen in a stable state of health. Only those whose sudden deaths were attributable to cardiac disease, on the basis of clinical and autopsy data, were included in Fingesture. The study complies with the Declaration of Helsinki and was approved by the Ethics Committee of the University of Oulu. The National Authority for Medicolegal Affairs (Valvira) approved the review of postmortem data by the investigators.

    Figure 1.

    Figure 1. Description of autopsy findings in the Fingesture study. ARVC indicates arrhythmogenic right ventricular cardiomyopathy; and CMP, cardiomyopathy.

    In Finland, all sudden deaths are investigated by law if the death is not the result of known disease, the individual has not been treated by physician during his/her last illness, or the death is otherwise unexpected. Hence, Finland has the highest sudden death autopsy rate in Western societies,9 with Fingesture including the vast majority of individuals with unexpected SCD. The hearts of those with SCD were meticulously examined, including heart weight and wall thickness measurements, extent of coronary artery disease, histological examinations, and identification and characterization of myocardial fibrosis. A toxicology investigation was performed if there was suspicion of exposure or autopsy findings were insufficient to define the cause of death. The determination of the cause of death was also contributed to by medical records and questionnaires sent to the next of kin. The criteria for each postmortem diagnosis were described by Hookana et al.3

    Subjects With PMF as a Cause of Death

    Among the 4031 individuals with SCD, death was attributed to coronary heart disease in 3060 (ischemic SCD, 76%). The remaining 971 (24%) were classified as nonischemic SCD and subcategorized into 11 specific diagnoses. The present study includes only those with nonischemic SCD with PMF (n=145) adjudicated as the cause of death. PMF was defined by the presence of interstitial, diffuse, or patchy fibrotic replacement of myocytes in the absence of healed myocardial infarction, chronic coronary artery disease, anatomy associated with inherited structural cardiac diseases (arrhythmogenic right ventricular cardiomyopathy [ARVC], hypertrophic cardiomyopathy [HCM], DCM), myocarditis, valve disease, or hypertensive hypertrophy of the left ventricular myocardium with or without secondary scarring. Classification as PMF was limited to those with heart weight <420 g and the absence of hypertrophied myocytes to limit overlap with hypertensive left ventricular hypertrophy. There were no other noncardiac organ changes or diseases that may also have myocardial fibrosis such as systemic sclerosis, Fabry disease, or myotonic dystrophy. Demographic and clinical characteristics of subjects with PMF are presented in Table 1. Typical histological findings are presented in Figure 2.

    Table 1. Demographic and Clinical Features of Individuals With Sudden Cardiac Death With Primary Myocardial Fibrosis (N=145)

    Characteristic Value
    Sex, n (%)
     Women 50 (34.5)
     Men 95 (65.5)
    Age, y 55±16
     Women 60±17
     Men 52±15
    Body mass index, kg/m2 23.4±4.0
    Location at the time of sudden cardiac death,* n (%)
     Home 122 (91.7)
     Public location 11 (8.3)
    Before cardiac arrest, n (%)
     Cardiac disease 22 (15.9)
     Diabetes mellitus 8 (5.5)
     Heart failure 0 (0)
     Hypertonia 18 (13.0)
     Morbus cordis coronarius 0 (0)
     Dyslipidemia 5 (3.6)
     Dyspnea 0 (0)

    Values are expressed as mean±SD or number of subjects (percent).

    *Data were missing for 12 subjects.

    Data were missing for 7 subjects.

    Figure 2.

    Figure 2. Typical histological findings of primary myocardial fibrosis in sudden cardiac death. Immunohistochemical staining with procollagen I antibodies in myocardial tissue of a subject with primary myocardial fibrosis sudden cardiac death (A) and an age-matched control (B). Areas stained brown represent fibrosis.

    Tissue Samples and Gene Sequencing

    We carried out genetic studies in the 96 of 145 individuals (66%) with SCD with PMF whose DNA passed the quality control for further analysis. DNA was isolated from formalin-fixed paraffin-embedded tissue samples obtained during autopsy. The TruSight Cardio gene panel kit, composed of 174 genes with associations with inherited cardiac conditions most affected by a genetic predisposition (http://support.illumina.com/downloads/trusight-cardio-product-files.html), was used for library preparation (Illumina, San Diego, CA; Table 2). Samples were bead purified with Agencourt AMPure XP beads (Beckman Coulter Life Sciences, Indianapolis, IN). The quality of the samples selected for NGS was confirmed with quantitative polymerase chain reaction–based formalin-fixed paraffin-embedded quality control kit (Illumina), and the samples passing quality control, that is, with a quantitative polymerase chain reaction ΔCq value ≤2.3, were selected for gene panel sequencing with NextSeq550 platform (Illumina). Within the BaseSpace Genomics computing environment (Illumina), BWA Enrichment (BWA Genome Aligner Software and the GATK Variant Caller) was used for sequence alignment and variant calling; VariantStudio for annotation, filtering, and classification of the variants; and Integrative Genomics Viewer10 for data visualization to exclude falsely annotated variants and sequencing artifacts. All variants classified as pathogenic, likely pathogenic, or VUS and with read depth <100 were confirmed by Sanger Sequencing (ABI3130xl, Applied Biosystems, Foster City, CA). The in silico prediction tools PolyPhen11 and SIFT12 were used to predict the effect of amino acid alterations on protein function within BaseSpace.

    Table 2. Cardiac Structure- and Function-Related Genes Sequenced in the Panel

    ABCC9 CACNB2 DOLK GJA5 KCNJ5 MYH11 PRDM16 SGCG TNNC1
    ABCG5 CALM1 DPP6 GLA KCNJ8 MYH6 PRKAG2 SHOC2 TNNI3
    ABCG8 CALR3 DSC2 GPD1L KCNQ1 MYH7 PRKAR1A SLC25A4 TNNT2
    ACTA1 CASQ2 DSG2 GPIHBP1 KLF10 MYL2 PTPN11 SLC2A10 TPM1
    ACTA2 CAV3 DSP HADHA KRAS MYL3 RAF1 SMAD3 TRDN
    ACTC1 CBL DTNA HCN4 LAMA2 MYLK RANGRF SMAD4 TRIM63
    ACTN2 CBS EFEMP2 HFE LAMA4 MYLK2 RBM20 SNTA1 TRPM4
    AKAP9 CETP ELN HRAS LAMP2 MYO6 RYR1 SOS1 TTN
    ALMS1 COL3A1 EMD HSPB8 LDB3 MYOZ2 RYR2 SREBF2 TTR
    ANK2 COL5A1 EYA4 ILK LDLR MYPN SALL4 TAZ TXNRD2
    ANKRD1 COL5A2 FBN1 JAG1 LDLRAP1 NEXN SCN1B TBX20 VCL
    APOA4 COX15 FBN2 JPH2 LMF1 NKX2-5 SCN2B TBX3 ZBTB17
    APOA5 CREB3L3 FHL1 JUP LMNA NODAL SCN3B TBX5 ZHX3
    APOB CRELD1 FHL2 KCNA5 LPL NOTCH1 SCN4B TCAP ZIC3
    APOC2 CRYAB FKRP KCND3 LTBP2 NPPA SCN5A TGFB2
    APOE CSRP3 FKTN KCNE1 MAP2K1 NRAS SCO2 TGFB3
    BAG3 CTF1 FXN KCNE2 MAP2K2 PCSK9 SDHA TGFBR1
    BRAF DES GAA KCNE3 MIB1 PDLIM3 SEPN1 TGFBR2
    CACNA1C DMD GATAD1 KCNH2 MURC PKP2 SGCB TMEM43
    CACNA2D1 DNAJC19 GCKR KCNJ2 MYBPC3 PLN SGCD TMPO

    Genetic Analysis

    The panel of 174 genes were associated with known structural and molecular cardiac conditions, with and without prior associations with secondary fibrosis. Genes associated with noncardiac diseases that may be accompanied by myocardial fibrosis such as Fabry disease and myotonic dystrophy were not tested for, but there were no histories or documentation of such disorders, and there are no candidate genes known to be associated with true PMF. The study group was derived from the total of 96 qualifying cases and resulted in mean read depth of ×960 per sample. On average, 99.4% of the captured region (0.572 Mb) was covered at least by 20 reads and 98.8% at least by 50 reads for the analyzed samples. All variants with a potential effect on protein were selected for analysis (missense, frameshift, stop gained/lost, initiator codon, in-frame insertion, in-frame deletion, and splice-site alterations) and filtered further according to their prevalence in dbSNP or Exome Aggregation Consortium database by excluding variants with minor allele frequency >0.01 among Finnish subjects. Further assessments for pathogenicity were based on American College of Medical Genetics consensus guidelines.13

    CTF1 p.Ala92Thr Genotyping

    Because of poor coverage of the genomic region around CTF1{p.Ala92Thr} (Chr16: 30913528, Human GRCh37/hg19) in the Exome Aggregation Consortium database and the lack of population frequency information in other public databases (Ensembl, dbSNP), CTF1{p.Ala92Thr} was genotyped in 448 geographically matched control subjects with Sanger Sequencing (ABI3130xl, Applied Biosystems). Genomic region was amplified with TaKaRa LA Taq with the GC Buffer kit (Takara Bio USA, Inc, Mountain View, CA) using the following primers: forward, 5′-GGGCTGCCAGTGCACGAG-3′; and reverse, 5′-GGCCAGCAAGGCCTCCACG-3′.14

    Statistical Analysis

    On the basis of the minor allele frequency of the identified variants in the GnomAD database (http://gnomad.broadinstitute.org/) in the Finnish population, the number of expected carriers in the analyzed patient cohort (n=96) was calculated. The number of expected carriers is based on the Hardy-Weinberg equation, where 2pq represents the frequency of the heterozygote genotype (p=major allele frequency, q=minor allele frequency, and p+q=1).

    Results

    Potentially relevant variants were detected in 26 of the subjects (27%) with analyzable DNA with PMF, including 24 unique variants in 16 genes. Ten variants in 10 subjects (10%) were classified as either pathogenic or likely pathogenic according to American College of Medical Genetics guidelines. The remaining 14 variants were classified as VUS. Four unique VUS coexpressed in multiple unrelated subjects with SCD were associated with PMF (3 unique variants present in 2 subjects each and 1 unique variant in 3 subjects; see Table 3, which includes all nonsynonymous mutations detected with a minor allele frequency <0.01 in the dbSNP and ExAc exome databases).

    Table 3. Summary of Myocardial Structure Gene Variants in Sudden Cardiac Death Subjects With Primary Myocardial Fibrosis

    Mutated Gene Nucleotide Change Effect on Protein Predicted Effect n NGS Coverage, n ExAC>3000 Finnish Controls MAF GnomAD >10 000Finnish Control SubjectsMAF Expected Carriersin 96 Subjects ACMG Score
    Pathogenic variants
    TPM1 523G>A Asp175Asn Missense 1 412 Not detected 0.0001554 0.03 PS1+PS4
    MYBPC3 3297dupG Tyr1100Valfs Frameshift 1 593 Not detected 0.0001534 0.03 PVS1+PM2+PP5
    TTN 88421G>A Trp29474Stop Truncating 1 234 Not detected 0.0003142 0.06 PVS1+PM1+PM2
    TTN 87394C>T Arg29132Stop Truncating 1 50* Not detected Not detected Not detected PVS1+PM1+PM2
    Likely pathogenic variants
    TTN 77971delTG Thr25991Serfs Frameshift 1 75* Not detected Not detected Not detected PM1+PM2+PM4
    DSP 2422C>T Arg808Cys Missense 1 115 0.0001512 0.00003877 0.007 PS3+PM2+PP5
    PKP2 1114G>C Ala372Pro Missense 1 73* 0.001663 0.002335 0.45 PM6+PP2+PP3+PP4
    MYBPC3 2497G>A Ala833Thr Missense 1 262 0.002268 0.002289 0.44 PS1+PP1+PP2
    MYH7 2945T>C Met982Thr Missense 1 440 0.0009072 0.0005816 0.11 PS1+PM1+PP4 (HCM)
    CRYAB 460G>A Gly154Ser Missense 1 42* 0.000756 0.001202 0.23 PS1+PM1+PP3+PP5
    VUS
    DSP 6295-6296CC>AT Pro2099Ile Missense 2 252/114 0.00348 0.003684 0.7
    DSP 6307A>G Lys2103Glu Missense 1 76* Not detected 0.0001551 0.03
    DSG2 2906C>T Ala969Val Missense 1 47* Not detected Not detected Not detected
    MYH7 3116A>G Glu1039Gly Missense 2 98*/46* 0.001059 0.0007366 0.14
    MYH7 4510A>T Asn1504Tyr Missense 1 70* Not detected Not detected Not detected
    RBM20 1958C>T Thr653Ile Missense 2 343/318 Not detected 0.0007982 0.15
    LMNA 77T>A Ile26Asn Missense 1 179 Not detected Not detected Not detected
    ABCC9 1320+1G>A Affects canonical splicing 1 385 0.0004555 0.0006660 0.13
    RYR2 7495G>A Ala2499Thr Missense 1 104 0.001176 0.0007064 0.14
    RYR2 7552C>T Arg2518Trp Missense 1 128 Not detected 0.0004037 0.08
    LAMA4 3110G>A Arg1037Gln Missense 1 43* 0.001512 0.002249 0.43
    CASQ2 874G>T Ala292Ser Missense 1 174 0.001969 0.002520 0.48
    MYLK2 1444T>G Phe482Val Missense 1 163 0.0004535 0.0003588 0.07
    DTNA 92G>A Arg31Gln Missense 3 231/153/175 0.005464 0.005855 1.1

    Expected carriers in 96 subjects according to Hardy-Weinberg equation calculated with GnomAD MAF.

    ACMG criteria: very strong evidence of pathogenicity: PVS1=null variant (nonsense, frameshift, canonical ±1 or 2 splice sites, initiation codon, single exon or multiexon deletion) in a gene in which loss of function is a known mechanism of disease; strong evidence of pathogenicity: PS1=same amino acid change as a previously established pathogenic variant regardless of nucleotide change; PS2=de novo mutation in a patient with the disease and no family history; PS3=well-established in vitro or in vivo functional studies supportive of a damaging effect on the gene or gene product; PS4=the prevalence of the variant in affected individuals is significantly increased compared with the prevalence in control subjects; moderate evidence of pathogenicity: PM1=located in a mutational hot spot and/or critical and well established functional domain (eg, active site of an enzyme) without benign variation; PM2=absent from control subjects (or at extremely low frequency if recessive) in Exome Sequencing Project, 1000 Genomes, or ExAC; PM3=for recessive disorders, detected in trans with a pathogenic variant; PM4=protein length changes resulting from in-frame deletions/insertions in a nonrepeat region or stop-loss variants; PM5=novel missense change at an amino acid residue where a different missense change determined to be pathogenic has been seen before; PM6=assumed de novo but without confirmation of paternity and maternity; supporting evidence of pathogenicity: PP1=cosegregation with disease in multiple affected family members in a gene definitively known to cause the disease; PP2=missense variant in a gene that has a low rate of benign missense variation and in which missense variants are a common mechanism of disease; PP3=multiple lines of computational evidence support a deleterious effect on the gene or gene product (conservation, evolutionary, splicing impact, etc); PP4=patient’s phenotype or family history is highly specific for a disease with a single genetic pathogenesis; PP5=reputable source recently reports variant as pathogenic, but the evidence is not available to the laboratory to perform an independent evaluation.

    The following are the rules for combining criteria to classify sequence variants:

    Pathogenic:

    1. 1 Very strong (PVS1) AND

     a.≥1 Strong (PS1–PS4) OR

     b.≥2 Moderate (PM1–PM6) OR

     c.1 Moderate (PM1–PM6) and 1 supporting (PP1–PP5) OR

     d.≥2 Supporting (PP1–PP5)

    2. ≥2 Strong (PS1–PS4) OR

    3. 1 Strong (PS1–PS4) AND

     a.≥3 Moderate (PM1–PM6) OR

     b.2 Moderate (PM1–PM6) AND ≥2 supporting (PP1–PP5) OR

     c.1 Moderate (PM1–PM6) AND ≥4 supporting (PP1–PP5)

    Likely pathogenic:

    1. 1 Very strong (PVS1) AND 1 moderate (PM1–PM6) OR

    2. 1 Strong (PS1–PS4) AND 1–2 moderate (PM1–PM6) OR

    3. 1 Strong (PS1–PS4) AND ≥2 supporting (PP1–PP5) OR

    4. ≥3 Moderate (PM1–PM6) OR

    5. 2 Moderate (PM1–PM6) AND ≥2 supporting (PP1–PP5) OR

    6. 1 Moderate (PM1–PM6) AND ≥4 supporting (PP1–PP5)

    ACMG indicates American College of Medical Genetics; MAF, minor allele frequency; NGS, next-generation sequencing; PMF, primary myocardial fibrosis; SCD, sudden cardiac death; and VUS, variants of uncertain significance.

    *Confirmed with Sanger sequencing.

    The PMF-associated variants were detected predominantly in myocardial structure–coding genes. No variants were identified in ion channel–coding genes. Two VUS were detected in RYR2, which has previously been associated with both primary arrhythmia syndromes and cardiomyopathies. The disease-associated variants were identified in genes associated with ARVC (DSP, PKP2, DSG2), HCM (TPM1, MYH7, MYBPC3), and DCM (TTN, CRYAB, RBM20, LMNA, ABCC9, RYR2, LAMA4, CASQ215,16). All pathogenic/likely pathogenic variants detected either were directly associated with the inherited structural abnormality or were null variants in regions of genes that are commonly mutated in patients with these inherited disorders.

    ARVC-Associated Variants

    Two of 5 variants in desmosomal genes (DSP, PKP2, DSG2) have been described in patients with ARVC, and the other 3 were novel. Of the 2 variants previously identified in patients with ARVC, the Arg808Cys variant causes local conformational alterations to desmoplakin.17 A missense substitution Ala372Pro in the PKP2 gene results in a change in conserved residue.18 These variants were considered as probably/likely disease causing.

    HCM-Associated Variants

    We observed 4 pathogenic/likely pathogenic variants in HCM-related genes. Of these variants, Met982Thr in a highly conserved MYH7 region was previously described in subjects with HCM,19,20 and an Ala833Thr variant in MYBPC3 was observed in familial HCM.21 We also observed a pathogenic frameshift variant in MYBPC3 (Tyr1100Val) that was previously reported in patients with HCM (ClinVar database) and another pathogenic variant in the TPM1 gene (Asp175Asn)22 that is relatively common in Finnish patients with HCM.23

    DCM-Associated Variants

    Four pathogenic/likely pathogenic variants identified in our study (3 in TTN, 1 in CRYAB) have been associated with DCM, which is an expected result considering the frequency of fibrosis in DCM.15,16 In addition, we detected 7 VUS in genes previously associated with DCM (RBM20, LMNA, ABCC9, RYR2, LAMA4, CASQ2). One particular variant has previously been described in familial DCM.24 Two novel truncating variants in TTN in our subjects are considered likely disease causing because those truncating variants appeared in the A band in which mutations leading to truncating Titin variants exist predominantly among patients with DCM.2527 The third alteration in the TTN gene also was a novel frameshift mutation in the A band that is predicted to lead to a truncated or absent protein; we classified it as likely pathogenic in the absence of sufficient data on its pathogenic capabilities.

    CTF1{p.Ala92Thr} was observed in 3 cases (3.1%). It had also previously been described in 1 patient (1 of 208) with DCM and was absent in healthy controls (0 of 204).14CTF1 {p.Ala92Thr} had no population frequency in public databases (Ensembl, dbSNP, and Exome Aggregation Consortium database). However, according to the Exome Aggregation Consortium database, the genomic region surrounding it is poorly covered; thus, its absence in databases might not reflect the true population incidence. To resolve this, we genotyped CTF1{p.Ala92Thr} in 448 geographically matched control subjects with direct sequencing and found a relatively high carrier frequency in these controls (in 5 of 448). All of the control carriers had normal echocardiograms, suggesting that it is unlikely that this mutation is disease causing. Thus, we did not consider this variant disease related and excluded it from Table 3.

    Discussion

    Our postmortem registry of subjects with SCD in Northern Finland has demonstrated that PMF is a common finding in individuals <40 years old.3 This observation aligns with another study that explored the causes of SCD in young athletes in United Kingdom4 but does not parallel other surveys in which HCM and ARVC have been the most common autopsy findings among young individuals with SCD.2830 Although the pathologies reported in autopsy-based studies have geographical variability between each study population, the inherited structural diseases have overlapping features in that they all commonly express myocardial fibrosis as a component of the anatomic pathology.

    Our motivation for this study was based on the hypothesis that at least some of the SCDs characterized as PMF at autopsy might be associated with genetic variants associated with a unique syndrome characterized by myocardial fibrosis, and our data demonstrated PMF-associated variants in the same genes that associate with specific inherited structural disorders in a substantial subgroup of the subjects. Because there are no known genes that associate with isolated PMF, the data suggest that PMF may represent, in large part, a unique expression among a spectrum of phenotypes of ARVC, HCM, and DCM rather than uniform expression of genotype-phenotype associations,31 in effect an alternative phenotypic expression pathway in specific inherited structural diseases rather than genetic variants unique to PMF. It is reasonable to consider the possibility that the structural disease variants identified might be nonexpressed genotypes of the structural disorders and that PMF is independent of these genotypes. However, the fact that 10 of the genotypes identified, spanning multiple examples of all 3 disorders, were disease causing or likely disease causing and that 4 of the unique VUS cosegregated among >1 individual with PMF mitigates strongly against that possibility. The presence of PMF in the absence of even subtle phenotypic features associated with ARVC, HCM, or DCM strongly supports variable expression of these genotypes as the most likely conclusion. Because late expression of the classic phenotypes of these disorders may occur,32,33 it is also possible that PMF may represent an earlier anatomic expression in some of these cases.

    In the case of ARVC, although the right ventricle is predominantly involved in the majority of cases, the left ventricle may be substantially involved with fibrofatty replacement even with mild changes in the right ventricle.34 This suggests that some ARVC genotypes may be expressed as PMF. Fibrosis is also a hallmark of HCM, and a recent observation suggests that myocardial fibrosis may precede the characteristic hypertrophy of the left ventricular septum or apex,33 thus making the separation between early-stage HCM and PMF challenging. In addition, excessive myocardial fibrosis is a prominent feature in DCM and an important predictor of arrhythmic events in such patients.35 These shared structural features of genetically distinct entities prompted us to clarify whether the overlapping property in these diseases extends beyond phenotype to the genetic background.

    The nature of our data source does not permit an estimate of the proportion of ARVC, HCM, and DCM genotypes that will express as isolated PMF phenotypes. Typical phenotypes of these disorders are more likely to be identified and treated in advance of SCD, as well as being classified as preexisting disease. Finnish law limits mandated medicolegal autopsy to cases of unexpected death, and hence, classic ARVC, HCM, and DCM phenotypes are likely underrepresented. In contrast, selection bias in Fingesture is negligible for conditions unlikely to be recognized before SCD such as PMF.

    Overall, we observed 24 variants in 16 genes among 27% of the individuals with SCD associated with PMF with analyzable DNA. This is in the general range in which postmortem genetic studies have identified variants in young subjects.57 The actual number might be higher because of the limited number of variants identified as associated with the inherited structural disorders to date. For the specific structural disorders, relevant genetic variants have been identified in ≈50% of those with ARVC,3639 <50% of those with HCM,4042 and 30% to 50% of individuals with DCM,16 supporting the hypothesis that the fibrosis in PMF is, at least in some cases, the primary expression associated with a defect in myocyte structural proteins, not a secondary response to a specific acquired or inherited condition characterized by myocyte loss and secondary replacement. In ARVC, HCM, and DCM, the genetic background in Finland has been shown to be rather homogeneous. In previous studies, variants in a few ARVC- and HCM-related genes account for most of the genetic background for clinical disease, and the apparent founder mutation of ARVC (PKP2 {Q59L}) has a relatively high prevalence in the general population (0.3%), introducing questions about relevance or variable penetrance.23,43,44 In DCM, the genetic background is more heterogeneous in Finland, but the LMNA variant p.Ser143Pro seems to be overrepresented among subjects with DCM with worse outcomes.45 Only 1 founder mutation in the HCM gene (TPM1{p.Asp175Asn}) was detected in this study, and notably, none of the ARVC-related mutations observed previously in Finland were seen in this study.

    In addition, speculation has been raised previously about whether PMF could be an innocent bystander and some of these young subjects with SCD could have an ion channelopathy, as observed in several other sudden unexplained death populations, or even whether ion channel mutations might cause myocardial fibrosis.32 We did not detect any pathological mutations in ion channel–encoding genes in our PMF population. Although 2 VUS were found in RYR2, the gene has also been associated with cardiomyopathies, in addition to catecholaminergic polymorphic ventricular tachycardia. Mutations in the N-terminal part have been shown to associate with experimental cardiomyopathies.46

    PMF, HCM, DCM, and ARVC are traditionally classified as distinct phenotypes. However, increased knowledge about the disease pathologies, in addition to traditional classifications, has provided information on their overlapping features, thus making it challenging to recognize precisely the end of 1 entity and the beginning of another. Therefore, these entities likely represent different expressions of a disease spectrum in which genetic predisposition to excessive myocardial fibrosis is an important component of disease development and adverse prognosis. This concept is supported by the present study, which demonstrates that myocardial fibrosis, in the absence of other structural abnormalities, may be a variable phenotypic expression of a wide spectrum of specific structural diseases that are considered inherited. Whether the PMF variation in expression of the classic disease phenotypes (ie, ARVC, HCM, DCM) results from interactions with modifier genes or epigenetic influences cannot be determined from this study. However, the concept of genetic modification of expression is a hypothesis applicable to these observations, justifying further study.31

    Accumulation of fibrotic tissue in myocardium at autopsy after SCD, without any other detectable cardiac abnormalities, in conjunction with emerging clinical imaging observations, suggests that myocardial fibrosis can be an important structural pathway for SCD risk. In addition to the observation that PMF shares genotype patterns with ARVC, DCM, and HCM, it seems to be a much more diverse pathophysiology than merely left-dominant ARVC or early-stage HCM/DCM. This conclusion derives from the observation that 73% of the subjects did not have variants in 174 myocardial genes in our panel, and we cannot exclude the possibility that some of these subjects have unknown variants associated with isolated myocardial fibrosis. An exome-wide association study would be required to identify candidate genes, either coexisting with the identified variants or unique to the remaining cases of PMF. However, this study population is not large enough for an association study, but our data invite a larger study of this type in the future. In addition, some of the cases of PMF are very likely the consequence of acquired conditions such as previous myocarditis/toxic exposure or harmful drugs.

    Only 16% of the individuals with SCD resulting from PMF had previously diagnosed cardiac disease, and SCD was the first manifestation in the remaining 84%. Although SCDs are common in Western societies,47 medicolegal investigations have not been used uniformly in many communities. Recent recommendations emphasize the proper use of postmortem investigations in clinically unexplained SCDs.4850 Accurate postmortem studies in individuals with SCD are crucial for enhancing our knowledge about the causes of SCD and developing diagnostic tools to find subjects at risk.51

    Recent studies have demonstrated that postmortem genetic analysis improves both the identification of the cause of death in young people, especially when autopsy findings are structurally negative or inconclusive and in the absence of a premortem diagnoses,5,6 and the usefulness for screening families of individuals with SCD for carrier states.7 In those with SCD, molecular autopsy is recommended in cases with suspected inherited disease or in those without any morphological abnormalities at autopsy.48,49 The results of the present study suggest that molecular autopsy could also be important in PMF. Our ongoing study will explore inheritance patterns in the first-degree relatives and the potential for early diagnosis of PMF in mutation carriers with the use of cardiac ultrasound or magnetic resonance imaging.

    Limitations

    The major limitation of most NGS studies is the lack of evidence of the causative role between the observed gene variants and the disease. In addition, most of the variants we observed (17 of 24) were novel, of which 14 were considered VUS, although 4 unique VUS were observed in multiple subjects with a PMF phonotype. To verify the heritable component of PMF, the pathophysiological potential of affected proteins and mutations must be authenticated by meticulous functional studies and the cosegregation of mutation, and the disease must be confirmed in affected families. The diagnosis of PMF at autopsy may also depend on the expertise of the cardiovascular pathologist.52 In the present study, only a few experienced forensic pathologists performed the autopsies from the geographical area covering almost one half of Finland, and uniform criteria were used for diagnosis. Nonetheless, the distinction between fatty-fibrotic replacement suggesting ARVC from PMF is sometimes difficult (Marja-Leena Kortelainen, MD, personal communication, 2017) because of a lack of specific differential diagnostic criteria in this field. In addition, there is always the possibility of ischemia caused by small vessel spasm or small vessel bridging, which, although very unlikely, could cause the fibrosis.

    Conclusions

    Disease-causing genetic variants associated with ARVC, HCM, and DCM were observed in the absence of the classic anatomic findings of these diseases with sufficient frequency among individuals with SCD who have no cardiac abnormalities other than PMF to generate a reasonable association argument. Because myocardial fibrosis is a common manifestation of each of these disorders, this observation supports the concept of variable phenotypic expression of specific genetic disorders.33 PMF therefore may represent a phenotypically specific variant manifestation of ARVC, HCM, and DCM in which the expression of myocardial fibrosis alone may be responsible for prognosis. The absence of pathological mutations in ion channel genes in this population further supports the hypothesis that myocardial fibrosis is a variant phenotype expression specific for structural genetic disorders. The data also suggest that postmortem genetic studies in individuals with SCD associated with PMF, for the purpose of assessing a possible heritable component and subsequent family screening, should include a panel inclusive of multiple known inherited structural diseases, regardless of the presence or absence of classic anatomic findings of ARVC, HCM, or DCM.

    Footnotes

    *Dr Junttila and L. Holmström contributed equally.

    Sources of Funding, see page 2724

    http://circ.ahajournals.org

    Juhani Junttila, MD, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, PO Box 5000, Oulu, FIN-90014, Finland. E-mail

    References

    • 1. Myerburg RJ, Goldberger JJ . Sudden cardiac arrest risk assessment: population science and the individual risk mandate.JAMA Cardiol. 2017; 2:689–694. doi: 10.1001/jamacardio.2017.0266.CrossrefMedlineGoogle Scholar
    • 2. Junttila MJ, Hookana E, Kaikkonen KS, Kortelainen ML, Myerburg RJ, Huikuri HV . Temporal trends in the clinical and pathological characteristics of victims of sudden cardiac death in the absence of previously identified heart disease.Circ Arrhythm Electrophysiol. 2016; 9:10.1161/CIRCEP.115.003723.LinkGoogle Scholar
    • 3. Hookana E, Junttila MJ, Puurunen VP, Tikkanen JT, Kaikkonen KS, Kortelainen ML, Myerburg RJ, Huikuri HV . Causes of nonischemic sudden cardiac death in the current era.Heart Rhythm. 2011; 8:1570–1575. doi: 10.1016/j.hrthm.2011.06.031.CrossrefMedlineGoogle Scholar
    • 4. Finocchiaro G, Papadakis M, Robertus JL, Dhutia H, Steriotis AK, Tome M, Mellor G, Merghani A, Malhotra A, Behr E, Sharma S, Sheppard MN . Etiology of sudden death in sports: insights from a United Kingdom regional registry.J Am Coll Cardiol. 2016; 67:2108–2115. doi: 10.1016/j.jacc.2016.02.062.CrossrefMedlineGoogle Scholar
    • 5. Bagnall RD, Weintraub RG, Ingles J, Duflou J, Yeates L, Lam L, Davis AM, Thompson T, Connell V, Wallace J, Naylor C, Crawford J, Love DR, Hallam L, White J, Lawrence C, Lynch M, Morgan N, James P, du Sart D, Puranik R, Langlois N, Vohra J, Winship I, Atherton J, McGaughran J, Skinner JR, Semsarian C . A prospective study of sudden cardiac death among children and young adults.N Engl J Med. 2016; 374:2441–2452. doi: 10.1056/NEJMoa1510687.CrossrefMedlineGoogle Scholar
    • 6. Sanchez O, Campuzano O, Fernández-Falgueras A, Sarquella-Brugada G, Cesar S, Mademont I, Mates J, Pérez-Serra A, Coll M, Pico F, Iglesias A, Tirón C, Allegue C, Carro E, Gallego MÁ, Ferrer-Costa C, Hospital A, Bardalet N, Borondo JC, Vingut A, Arbelo E, Brugada J, Castellà J, Medallo J, Brugada R . Natural and undetermined sudden death: value of post-mortem genetic investigation.PLoS One. 2016; 11:e0167358. doi: 10.1371/journal.pone.0167358.CrossrefMedlineGoogle Scholar
    • 7. Lahrouchi N, Raju H, Lodder EM, Papatheodorou E, Ware JS, Papadakis M, Tadros R, Cole D, Skinner JR, Crawford J, Love DR, Pua CJ, Soh BY, Bhalshankar JD, Govind R, Tfelt-Hansen J, Winkel BG, van der Werf C, Wijeyeratne YD, Mellor G, Till J, Cohen MC, Tome-Esteban M, Sharma S, Wilde AAM, Cook SA, Bezzina CR, Sheppard MN, Behr ER . Utility of post-mortem genetic testing in cases of sudden arrhythmic death syndrome.J Am Coll Cardiol. 2017; 69:2134–2145. doi: 10.1016/j.jacc.2017.02.046.CrossrefMedlineGoogle Scholar
    • 8. Kaikkonen KS, Kortelainen ML, Linna E, Huikuri HV . Family history and the risk of sudden cardiac death as a manifestation of an acute coronary event.Circulation. 2006; 114:1462–1467. doi: 10.1161/CIRCULATIONAHA.106.624593.LinkGoogle Scholar
    • 9. Saukko P . Medicolegal investigative system and sudden death in Scandinavia.Nihon Hoigaku Zasshi. 1995; 49:458–465.MedlineGoogle Scholar
    • 10. Robinson JT, Thorvaldsdóttir H, Winckler W, Guttman M, Lander ES, Getz G, Mesirov JP . Integrative genomics viewer.Nat Biotechnol. 2011; 29:24–26. doi: 10.1038/nbt.1754.CrossrefMedlineGoogle Scholar
    • 11. Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR . A method and server for predicting damaging missense mutations.Nat Methods. 2010; 7:248–249. doi: 10.1038/nmeth0410-248.CrossrefMedlineGoogle Scholar
    • 12. Kumar P, Henikoff S, Ng PC . Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.Nat Protoc. 2009; 4:1073–1081. doi: 10.1038/nprot.2009.86.CrossrefMedlineGoogle Scholar
    • 13. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, Grody WW, Hegde M, Lyon E, Spector E, Voelkerding K, Rehm HL ; ACMG Laboratory Quality Assurance Committee. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.Genet Med. 2015; 17:405–424. doi: 10.1038/gim.2015.30.CrossrefMedlineGoogle Scholar
    • 14. Erdmann J, Hassfeld S, Kallisch H, Fleck E, Regitz-Zagrose V . Genetic variants in the promoter (g983G>T) and coding region (A92T) of the human cardiotrophin-1 gene (CTF1) in patients with dilated cardiomyopathy.Hum Mutat. 2000; 16:448. doi: 10.1002/1098-1004(200011)16:5<448::AID-HUMU19>3.0.CO;2-D.CrossrefMedlineGoogle Scholar
    • 15. Favalli V, Serio A, Grasso M, Arbustini E . Genetic causes of dilated cardiomyopathy.Heart. 2016; 102:2004–2014. doi: 10.1136/heartjnl-2015-308190.CrossrefMedlineGoogle Scholar
    • 16. Haas J, Frese KS, Peil B, Kloos W, Keller A, Nietsch R, Feng Z, Müller S, Kayvanpour E, Vogel B, Sedaghat-Hamedani F, Lim WK, Zhao X, Fradkin D, Köhler D, Fischer S, Franke J, Marquart S, Barb I, Li DT, Amr A, Ehlermann P, Mereles D, Weis T, Hassel S, Kremer A, King V, Wirsz E, Isnard R, Komajda M, Serio A, Grasso M, Syrris P, Wicks E, Plagnol V, Lopes L, Gadgaard T, Eiskjær H, Jørgensen M, Garcia-Giustiniani D, Ortiz-Genga M, Crespo-Leiro MG, Deprez RH, Christiaans I, van Rijsingen IA, Wilde AA, Waldenstrom A, Bolognesi M, Bellazzi R, Mörner S, Bermejo JL, Monserrat L, Villard E, Mogensen J, Pinto YM, Charron P, Elliott P, Arbustini E, Katus HA, Meder B . Atlas of the clinical genetics of human dilated cardiomyopathy.Eur Heart J. 2015; 36:1123–1135a. doi: 10.1093/eurheartj/ehu301.CrossrefMedlineGoogle Scholar
    • 17. Al-Jassar C, Knowles T, Jeeves M, Kami K, Behr E, Bikker H, Overduin M, Chidgey M . The nonlinear structure of the desmoplakin plakin domain and the effects of cardiomyopathy-linked mutations.J Mol Biol. 2011; 411:1049–1061. doi: 10.1016/j.jmb.2011.06.047.CrossrefMedlineGoogle Scholar
    • 18. Xu T, Yang Z, Vatta M, Rampazzo A, Beffagna G, Pilichou K, Pillichou K, Scherer SE, Saffitz J, Kravitz J, Zareba W, Danieli GA, Lorenzon A, Nava A, Bauce B, Thiene G, Basso C, Calkins H, Gear K, Marcus F, Towbin JA ; Multidisciplinary Study of Right Ventricular Dysplasia Investigators. Compound and digenic heterozygosity contributes to arrhythmogenic right ventricular cardiomyopathy.J Am Coll Cardiol. 2010; 55:587–597. doi: 10.1016/j.jacc.2009.11.020.CrossrefMedlineGoogle Scholar
    • 19. Morita H, Larson MG, Barr SC, Vasan RS, O’Donnell CJ, Hirschhorn JN, Levy D, Corey D, Seidman CE, Seidman JG, Benjamin EJ . Single-gene mutations and increased left ventricular wall thickness in the community: the Framingham Heart Study.Circulation. 2006; 113:2697–2705. doi: 10.1161/CIRCULATIONAHA.105.593558.LinkGoogle Scholar
    • 20. Millat G, Bouvagnet P, Chevalier P, Dauphin C, Jouk PS, Da Costa A, Prieur F, Bresson JL, Faivre L, Eicher JC, Chassaing N, Crehalet H, Porcher R, Rodriguez-Lafrasse C, Rousson R . Prevalence and spectrum of mutations in a cohort of 192 unrelated patients with hypertrophic cardiomyopathy.Eur J Med Genet. 2010; 53:261–267. doi: 10.1016/j.ejmg.2010.07.007.CrossrefMedlineGoogle Scholar
    • 21. Mörner S, Richard P, Kazzam E, Hellman U, Hainque B, Schwartz K, Waldenström A . Identification of the genotypes causing hypertrophic cardiomyopathy in northern Sweden.J Mol Cell Cardiol. 2003; 35:841–849.CrossrefMedlineGoogle Scholar
    • 22. Thierfelder L, Watkins H, MacRae C, Lamas R, McKenna W, Vosberg HP, Seidman JG, Seidman CE . Alpha-tropomyosin and cardiac troponin T mutations cause familial hypertrophic cardiomyopathy: a disease of the sarcomere.Cell. 1994; 77:701–712.CrossrefMedlineGoogle Scholar
    • 23. Jääskeläinen P, Heliö T, Aalto-Setälä K, Kaartinen M, Ilveskoski E, Hämäläinen L, Melin J, Nieminen MS, Laakso M, Kuusisto J, Kervinen H, Mustonen J, Juvonen J, Niemi M, Uusimaa P, Huttunen M, Kotila M, Pietilä M ; FinHCM Study Group. Two founder mutations in the alpha-tropomyosin and the cardiac myosin-binding protein C genes are common causes of hypertrophic cardiomyopathy in the Finnish population.Ann Med. 2013; 45:85–90. doi: 10.3109/07853890.2012.671534.CrossrefMedlineGoogle Scholar
    • 24. Pilotto A, Marziliano N, Pasotti M, Grasso M, Costante AM, Arbustini E . alphaB-crystallin mutation in dilated cardiomyopathies: low prevalence in a consecutive series of 200 unrelated probands.Biochem Biophys Res Commun. 2006; 346:1115–1117. doi: 10.1016/j.bbrc.2006.05.203.CrossrefMedlineGoogle Scholar
    • 25. Herman DS, Lam L, Taylor MR, Wang L, Teekakirikul P, Christodoulou D, Conner L, DePalma SR, McDonough B, Sparks E, Teodorescu DL, Cirino AL, Banner NR, Pennell DJ, Graw S, Merlo M, Di Lenarda A, Sinagra G, Bos JM, Ackerman MJ, Mitchell RN, Murry CE, Lakdawala NK, Ho CY, Barton PJ, Cook SA, Mestroni L, Seidman JG, Seidman CE . Truncations of titin causing dilated cardiomyopathy.N Engl J Med. 2012; 366:619–628. doi: 10.1056/NEJMoa1110186.CrossrefMedlineGoogle Scholar
    • 26. LeWinter MM, Granzier HL . Titin is a major human disease gene.Circulation. 2013; 127:938–944. doi: 10.1161/CIRCULATIONAHA.112.139717.LinkGoogle Scholar
    • 27. Roberts AM, Ware JS, Herman DS, Schafer S, Baksi J, Bick AG, Buchan RJ, Walsh R, John S, Wilkinson S, Mazzarotto F, Felkin LE, Gong S, MacArthur JA, Cunningham F, Flannick J, Gabriel SB, Altshuler DM, Macdonald PS, Heinig M, Keogh AM, Hayward CS, Banner NR, Pennell DJ, O’Regan DP, San TR, de Marvao A, Dawes TJ, Gulati A, Birks EJ, Yacoub MH, Radke M, Gotthardt M, Wilson JG, O’Donnell CJ, Prasad SK, Barton PJ, Fatkin D, Hubner N, Seidman JG, Seidman CE, Cook SA . Integrated allelic, transcriptional, and phenomic dissection of the cardiac effects of titin truncations in health and disease.Sci Transl Med. 2015; 7:270ra6. doi: 10.1126/scitranslmed.3010134.CrossrefMedlineGoogle Scholar
    • 28. Maron BJ, Doerer JJ, Haas TS, Tierney DM, Mueller FO . Sudden deaths in young competitive athletes: analysis of 1866 deaths in the United States, 1980–2006.Circulation. 2009; 119:1085–1092. doi: 10.1161/CIRCULATIONAHA.108.804617.LinkGoogle Scholar
    • 29. Corrado D, Thiene G, Nava A, Rossi L, Pennelli N . Sudden death in young competitive athletes: clinicopathologic correlations in 22 cases.Am J Med. 1990; 89:588–596.CrossrefMedlineGoogle Scholar
    • 30. de Noronha SV, Sharma S, Papadakis M, Desai S, Whyte G, Sheppard MN . Aetiology of sudden cardiac death in athletes in the United Kingdom: a pathological study.Heart. 2009; 95:1409–1414. doi: 10.1136/hrt.2009.168369.CrossrefMedlineGoogle Scholar
    • 31. Wolf U . Identical mutations and phenotypic variation.Hum Genet. 1997; 100:305–321.CrossrefMedlineGoogle Scholar
    • 32. Niimura H, Bachinski LL, Sangwatanaroj S, Watkins H, Chudley AE, McKenna W, Kristinsson A, Roberts R, Sole M, Maron BJ, Seidman JG, Seidman CE . Mutations in the gene for cardiac myosin-binding protein C and late-onset familial hypertrophic cardiomyopathy.N Engl J Med. 1998; 338:1248–1257. doi: 10.1056/NEJM199804303381802.CrossrefMedlineGoogle Scholar
    • 33. Ho CY, López B, Coelho-Filho OR, Lakdawala NK, Cirino AL, Jarolim P, Kwong R, González A, Colan SD, Seidman JG, Díez J, Seidman CE . Myocardial fibrosis as an early manifestation of hypertrophic cardiomyopathy.N Engl J Med. 2010; 363:552–563. doi: 10.1056/NEJMoa1002659.CrossrefMedlineGoogle Scholar
    • 34. Sen-Chowdhry S, Syrris P, Ward D, Asimaki A, Sevdalis E, McKenna WJ . Clinical and genetic characterization of families with arrhythmogenic right ventricular dysplasia/cardiomyopathy provides novel insights into patterns of disease expression.Circulation. 2007; 115:1710–1720. doi: 10.1161/CIRCULATIONAHA.106.660241.LinkGoogle Scholar
    • 35. Gulati A, Jabbour A, Ismail TF, Guha K, Khwaja J, Raza S, Morarji K, Brown TD, Ismail NA, Dweck MR, Di Pietro E, Roughton M, Wage R, Daryani Y, O’Hanlon R, Sheppard MN, Alpendurada F, Lyon AR, Cook SA, Cowie MR, Assomull RG, Pennell DJ, Prasad SK . Association of fibrosis with mortality and sudden cardiac death in patients with nonischemic dilated cardiomyopathy.JAMA. 2013; 309:896–908. doi: 10.1001/jama.2013.1363.CrossrefMedlineGoogle Scholar
    • 36. Rigato I, Bauce B, Rampazzo A, Zorzi A, Pilichou K, Mazzotti E, Migliore F, Marra MP, Lorenzon A, De Bortoli M, Calore M, Nava A, Daliento L, Gregori D, Iliceto S, Thiene G, Basso C, Corrado D . Compound and digenic heterozygosity predicts lifetime arrhythmic outcome and sudden cardiac death in desmosomal gene-related arrhythmogenic right ventricular cardiomyopathy.Circ Cardiovasc Genet. 2013; 6:533–542. doi: 10.1161/CIRCGENETICS.113.000288.LinkGoogle Scholar
    • 37. Bhonsale A, Groeneweg JA, James CA, Dooijes D, Tichnell C, Jongbloed JD, Murray B, te Riele AS, van den Berg MP, Bikker H, Atsma DE, de Groot NM, Houweling AC, van der Heijden JF, Russell SD, Doevendans PA, van Veen TA, Tandri H, Wilde AA, Judge DP, van Tintelen JP, Calkins H, Hauer RN . Impact of genotype on clinical course in arrhythmogenic right ventricular dysplasia/cardiomyopathy-associated mutation carriers.Eur Heart J. 2015; 36:847–855. doi: 10.1093/eurheartj/ehu509.CrossrefMedlineGoogle Scholar
    • 38. Sen-Chowdhry S, Syrris P, McKenna WJ . Role of genetic analysis in the management of patients with arrhythmogenic right ventricular dysplasia/cardiomyopathy.J Am Coll Cardiol. 2007; 50:1813–1821. doi: 10.1016/j.jacc.2007.08.008.CrossrefMedlineGoogle Scholar
    • 39. Quarta G, Muir A, Pantazis A, Syrris P, Gehmlich K, Garcia-Pavia P, Ward D, Sen-Chowdhry S, Elliott PM, McKenna WJ . Familial evaluation in arrhythmogenic right ventricular cardiomyopathy: impact of genetics and revised task force criteria.Circulation. 2011; 123:2701–2709. doi: 10.1161/CIRCULATIONAHA.110.976936.LinkGoogle Scholar
    • 40. Landstrom AP, Ackerman MJ . Mutation type is not clinically useful in predicting prognosis in hypertrophic cardiomyopathy.Circulation. 2010; 122:2441–2449. doi: 10.1161/CIRCULATIONAHA.110.954446.LinkGoogle Scholar
    • 41. Bos JM, Towbin JA, Ackerman MJ . Diagnostic, prognostic, and therapeutic implications of genetic testing for hypertrophic cardiomyopathy.J Am Coll Cardiol. 2009; 54:201–211. doi: 10.1016/j.jacc.2009.02.075.CrossrefMedlineGoogle Scholar
    • 42. Maron BJ, Maron MS, Semsarian C . Genetics of hypertrophic cardiomyopathy after 20 years: clinical perspectives.J Am Coll Cardiol. 2012; 60:705–715. doi: 10.1016/j.jacc.2012.02.068.CrossrefMedlineGoogle Scholar
    • 43. Lahtinen AM, Lehtonen E, Marjamaa A, Kaartinen M, Heliö T, Porthan K, Oikarinen L, Toivonen L, Swan H, Jula A, Peltonen L, Palotie A, Salomaa V, Kontula K . Population-prevalent desmosomal mutations predisposing to arrhythmogenic right ventricular cardiomyopathy.Heart Rhythm. 2011; 8:1214–1221. doi: 10.1016/j.hrthm.2011.03.015.CrossrefMedlineGoogle Scholar
    • 44. Jääskeläinen P, Miettinen R, Kärkkäinen P, Toivonen L, Laakso M, Kuusisto J . Genetics of hypertrophic cardiomyopathy in eastern Finland: few founder mutations with benign or intermediary phenotypes.Ann Med. 2004; 36:23–32.CrossrefMedlineGoogle Scholar
    • 45. Kärkkäinen S, Reissell E, Heliö T, Kaartinen M, Tuomainen P, Toivonen L, Kuusisto J, Kupari M, Nieminen MS, Laakso M, Peuhkurinen K . Novel mutations in the lamin A/C gene in heart transplant recipients with end stage dilated cardiomyopathy.Heart. 2006; 92:524–526. doi: 10.1136/hrt.2004.056721.CrossrefMedlineGoogle Scholar
    • 46. Tang Y, Tian X, Wang R, Fill M, Chen SR . Abnormal termination of Ca2+ release is a common defect of RyR2 mutations associated with cardiomyopathies.Circ Res. 2012; 110:968–977. doi: 10.1161/CIRCRESAHA.111.256560.LinkGoogle Scholar
    • 47. Huikuri HV, Castellanos A, Myerburg RJ . Sudden death due to cardiac arrhythmias.N Engl J Med. 2001; 345:1473–1482. doi: 10.1056/NEJMra000650.CrossrefMedlineGoogle Scholar
    • 48. Wilhelm M, Bolliger SA, Bartsch C, Fokstuen S, Gräni C, Martos V, Medeiros Domingo A, Osculati A, Rieubland C, Sabatasso S, Saguner AM, Schyma C, Tschui J, Wyler D, Bhuiyan ZA, Fellmann F, Michaud K . Sudden cardiac death in forensic medicine: Swiss recommendations for a multidisciplinary approach.Swiss Med Wkly. 2015; 145:w14129. doi: 10.4414/smw.2015.14129.MedlineGoogle Scholar
    • 49. Priori SG, Blomström-Lundqvist C, Mazzanti A, Blom N, Borggrefe M, Camm J, Elliott PM, Fitzsimons D, Hatala R, Hindricks G, Kirchhof P, Kjeldsen K, Kuck KH, Hernandez-Madrid A, Nikolaou N, Norekvål TM, Spaulding C, Van Veldhuisen DJ ; Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC). 2015 ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: the Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC) endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC).Europace. 2015; 17:1601–1687. doi: 10.1093/europace/euv319.MedlineGoogle Scholar
    • 50. Basso C, Burke M, Fornes P, Gallagher PJ, de Gouveia RH, Sheppard M, Thiene G, van der Wal A ; Association for European Cardiovascular Pathology. Guidelines for autopsy investigation of sudden cardiac death.Virchows Arch. 2008; 452:11–18. doi: 10.1007/s00428-007-0505-5.CrossrefMedlineGoogle Scholar
    • 51. Horowitz RE, Naritoku WY . The autopsy as a performance measure and teaching tool.Hum Pathol. 2007; 38:688–695. doi: 10.1016/j.humpath.2007.01.001.CrossrefMedlineGoogle Scholar
    • 52. de Noronha SV, Behr ER, Papadakis M, Ohta-Ogo K, Banya W, Wells J, Cox S, Cox A, Sharma S, Sheppard MN . The importance of specialist cardiac histopathological examination in the investigation of young sudden cardiac deaths.Europace. 2014; 16:899–907. doi: 10.1093/europace/eut329.CrossrefMedlineGoogle Scholar

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