Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Diagnostic and prognostic relevance of using large gene panels in the genetic testing of patients with dilated cardiomyopathy

Abstract

It was previously suggested that increasing the number of genes on diagnostic gene panels could increase the genetic yield in patient with dilated cardiomyopathy (DCM). We explored the diagnostic and prognostic relevance of testing DCM patients with an expanded gene panel. The current study included 225 consecutive DCM patients who had no genetic diagnosis after a 48-gene cardiomyopathy-panel. These were then evaluated using an expanded gene panel of 299 cardiac-associated genes. A likely pathogenic/pathogenic (P/LP) variant was detected in 13 patients. Five variants were reclassifications of variants found in genes which were already detected using the 48 gene panel. Only one of the other eight variants could explain the phenotype of the patient (KCNJ2). The panel detected 186 VUSs in 127 patients (of which 6 also had a P/LP variant). The presence of a VUS was significantly associated with the combined end-point of mortality, heart failure hospitalization, heart transplantation or life-threatening arrhythmias(HR, 2.04 [95% CI, 1.15 to 3.65]; p = 0.02). The association of a VUS with prognosis remained when we only included VUSs in robust DCM-associated genes (high suspicious VUSs), but disappeared when we only included VUSs in non-robust DCM-associated genes (low suspicious VUSs), highlighting the importance of weighing of VUSs. Overall, the use of large gene panels for genetic testing in DCM does not increase the diagnostic yield, although a VUS in a robust DCM-associated gene is associated with an adverse prognosis. Altogether, current diagnostic gene panels should be limited to the robust DCM-associated genes.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Flow chart of genetic testing in DCM patients.
Fig. 2: Genetic yield of the HEART panel.
Fig. 3: Survival curves show freedom from combined endpoint (cardiac death or transplantation, heart failure hospitalization or life-threatening arrhythmia) stratified on the number of detected variants of unknown significance (VUSs) in the HEART panel.
Fig. 4: Survival curves show freedom from combined endpoint (cardiac death or transplantation, heart failure hospitalization or life-threatening arrhythmia) stratified on the presence of at least one variant of unknown significance (VUS).

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding author on reasonable request.

References

  1. Pinto YM, Elliott PM, Arbustini E, Adler Y, Anastasakis A, Bohm M, et al. Proposal for a revised definition of dilated cardiomyopathy, hypokinetic non-dilated cardiomyopathy, and its implications for clinical practice: a position statement of the ESC working group on myocardial and pericardial diseases. Eur Heart J. 2016;37:1850–8.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  2. Hershberger RE, Givertz MM, Ho CY, Judge DP, Kantor PF, McBride KL, et al. Genetic evaluation of cardiomyopathy-A heart failure society of America practice guideline. J Card Fail. 2018;24:281–302.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  3. Hershberger RE, Givertz MM, Ho CY, Judge DP, Kantor PF, McBride KL, et al. Genetic evaluation of cardiomyopathy: a clinical practice resource of the American college of medical genetics and genomics (ACMG). Genet Med: Off J Am Coll Med Genet. 2018;20:899–909.

    ArticleĀ  Google ScholarĀ 

  4. McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Bƶhm M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42:3599–726.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  5. Verdonschot JAJ, Hazebroek MR, Krapels IPC, Henkens M, Raafs A, Wang P, et al. Implications of Genetic Testing in Dilated Cardiomyopathy. Circ Genom Precis Med. 2020;13:476–87.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  6. Jordan E, Peterson L, Ai T, Asatryan B, Bronicki L, Brown E, et al. Evidence-based assessment of genes in dilated cardiomyopathy. Circulation. 2021;144:7–19.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  7. Mazzarotto F, Tayal U, Buchan RJ, Midwinter W, Wilk A, Whiffin N, et al. Reevaluating the genetic contribution of monogenic dilated cardiomyopathy. Circulation. 2020;141:387–98.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  8. Stroeks S, Hellebrekers D, Claes GRF, Tayal U, Krapels IPC, Vanhoutte EK, et al. Clinical impact of re-evaluating genes and variants implicated in dilated cardiomyopathy. Genetics in medicine: Off J Am Coll Med Genet. 2021;23:2186–93.

    ArticleĀ  CASĀ  Google ScholarĀ 

  9. Harakalova M, Kummeling G, Sammani A, Linschoten M, Baas AF, van der Smagt J, et al. A systematic analysis of genetic dilated cardiomyopathy reveals numerous ubiquitously expressed and muscle-specific genes. Eur J heart Fail. 2015;17:484–93.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  10. Walsh R, Offerhaus JA, Tadros R, Bezzina CR. Minor hypertrophic cardiomyopathy genes, major insights into the genetics of cardiomyopathies. Nat Rev Cardiol. 2022;19:151–67.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  11. Walsh R, Tadros R, Bezzina CR. When genetic burden reaches threshold. Eur Heart J. 2020;41:3849–55.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  12. Henkens M, Weerts J, Verdonschot JAJ, Raafs AG, Stroeks S, Sikking MA, et al. Improving diagnosis and risk stratification across the ejection fraction spectrum: the Maastricht Cardiomyopathy registry. ESC Heart Fail. 2022;9:1463–70.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  13. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. 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: Off J Am Coll Med Genet. 2015;17:405–24.

    ArticleĀ  Google ScholarĀ 

  14. Morales A, Kinnamon DD, Jordan E, Platt J, Vatta M, Dorschner MO, et al. Variant interpretation for dilated cardiomyopathy: refinement of the american college of medical genetics and genomics/clingen guidelines for the DCM precision medicine study. Circ Genom Precis Med. 2020;13:e002480.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  15. Porto G, Brissot P, Swinkels DW, Zoller H, Kamarainen O, Patton S, et al. EMQN best practice guidelines for the molecular genetic diagnosis of hereditary hemochromatosis (HH). Eur J Hum Genet: EJHG. 2016;24:479–95.

    ArticleĀ  CASĀ  PubMedĀ  Google ScholarĀ 

  16. Zeppenfeld K, Tfelt-Hansen J, de Riva M, Winkel BG, Behr ER, Blom NA, et al. 2022 ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death. Eur Heart J. 2022;43:3997–126.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  17. Alfares AA, Kelly MA, McDermott G, Funke BH, Lebo MS, Baxter SB, et al. Results of clinical genetic testing of 2,912 probands with hypertrophic cardiomyopathy: expanded panels offer limited additional sensitivity. Genet Med: Off J Am Coll Med Genet. 2015;17:880–8.

    ArticleĀ  Google ScholarĀ 

  18. Mazzarotto F, Girolami F, Boschi B, Barlocco F, Tomberli A, Baldini K, et al. Defining the diagnostic effectiveness of genes for inclusion in panels: the experience of two decades of genetic testing for hypertrophic cardiomyopathy at a single center. Genet Med: Off J Am Coll Med Genet. 2019;21:284–92.

    ArticleĀ  CASĀ  Google ScholarĀ 

  19. Schobers G, Schieving JH, Yntema HG, Pennings M, Pfundt R, Derks R, et al. Reanalysis of exome negative patients with rare disease: a pragmatic workflow for diagnostic applications. Genome Med. 2022;14:66.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  20. Bourfiss M, van Vugt M, Alasiri AI, Ruijsink B, van Setten J, Schmidt AF, et al. Penetrance and disease expression of (likely) pathogenic variants associated with inherited cardiomyopathies in the general population. Circ Genom Precis Med. 2022;15:e003704.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  21. Lazarte J, Jurgens SJ, Choi SH, Khurshid S, Morrill VN, Weng LC, et al. LMNA variants and risk of adult-onset cardiac disease. J Am Coll Cardiol. 2022;80:50–9.

    ArticleĀ  PubMedĀ  Google ScholarĀ 

  22. Pirruccello JP, Bick A, Wang M, Chaffin M, Friedman S, Yao J, et al. Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy. Nat Commun. 2020;11:2254.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  23. Ho CY, Day SM, Ashley EA, Michels M, Pereira AC, Jacoby D, et al. Genotype and lifetime burden of disease in hypertrophic cardiomyopathy: insights from the sarcomeric human cardiomyopathy registry (SHaRe). Circulation. 2018;138:1387–98.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  24. Hosseini SM, Kim R, Udupa S, Costain G, Jobling R, Liston E, et al. Reappraisal of reported genes for sudden arrhythmic death: evidence-based evaluation of gene validity for brugada syndrome. Circulation. 2018;138:1195–205.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  25. Tadros R, Francis C, Xu X, Vermeer AMC, Harper AR, Huurman R, et al. Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect. Nat Genet. 2021;53:128–34.

    ArticleĀ  CASĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

Download references

Funding

JV is supported by a Dutch Heart Foundation Dekker – Clinical Scientist grant. The views expressed in this work are those of the authors and not necessarily those of the funders

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: SS, DH, JV; Data curation: SS, DH, GC, MH, MS, JV; Formal Analysis: SS, JV; Funding acquisition: JV, HB, A-vdW; Investigation: SS, DH, GC, IK, EV, AH-vdE, JV; Methodology: JV, Resources: HB, A-vdW; Supervision: HB, JV; Visualization: SS, JV; Writing – original draft: SS, DH, JV; Writing – review & editing: GC, IK, MH, MS, EV, AH-vdE.

Corresponding author

Correspondence to Job A. J. Verdonschot.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

The study was performed according to the declaration of Helsinki and was approved by the institutional Medical Ethics Committee of the Maastricht University Medical Center. All patients gave written informed consent.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Stroeks, S.L.V.M., Hellebrekers, D., Claes, G.R.F. et al. Diagnostic and prognostic relevance of using large gene panels in the genetic testing of patients with dilated cardiomyopathy. Eur J Hum Genet 31, 776–783 (2023). https://doi.org/10.1038/s41431-023-01384-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41431-023-01384-y

This article is cited by

Search

Quick links