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.

  • Brief Communication
  • Published:

Bi-allelic PRRT2 variants may predispose to Self-limited Familial Infantile Epilepsy

Abstract

Heterozygous PRRT2 variants are frequently implicated in Self-limited Infantile Epilepsy, whereas homozygous variants are so far linked to severe presentations including developmental and epileptic encephalopathy, movement disorders, and intellectual disability. In a study aiming to explore the genetics of epilepsy in the Sudanese population, we investigated several families including a consanguineous family with three siblings diagnosed with self-limited infantile epilepsy. We evaluated both dominant and recessive inheritance using whole exome sequencing and genomic arrays. We identified a pathogenic homozygous splice-site variant in the first intron of PRRT2 [NC_000016.10(NM_145239.3):c.-65-1G > A] that segregated with the phenotype in this family. This work taps into the genetics of epilepsy in an underrepresented African population and suggests that the phenotypes of homozygous PRRT2 variants may include milder epilepsy presentations without movement disorders.

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: Variants identified in two epilepsy genes in family E11.

Similar content being viewed by others

Data availability

The reported variants in family E11 were submitted to ClinVar (SCV002058115; SCV002059214). Exome and genomic array data are not publicly available. Additional details on the study that led to this manuscript, the clinical presentation of the individuals with PRRT2 variants, and genetic testing are available as Supplementary Methods.

References

  1. Thomas RH, Berkovic SF. The hidden genetics of epilepsy—A clinically important new paradigm. Nat Rev Neurol. 2014;10:283–92. https://doi.org/10.1038/nrneurol.2014.62.

    Article  PubMed  Google Scholar 

  2. Ottman, R, Risch, N Genetic Epidemiology and Gene Discovery in Epilepsy. In: Noebels JL, Avoli M, Rogawski MA, et al. (eds). Jasper’s Basic Mechanisms of the Epilepsies. 4th ed. National Center for Biotechnology Information (US), Bethesda (MD), 2012. Available from: https://www.ncbi.nlm.nih.gov/books/NBK98200/.

  3. Helbig I, Heinzen EL, Mefford HC, the ILAE Genetics Commission. Primer Part 1-The building blocks of epilepsy genetics. Epilepsia. 2016;57:861–8. https://doi.org/10.1111/epi.13381.

    Article  PubMed  Google Scholar 

  4. Sánchez Fernández I, Loddenkemper T, Gaínza-Lein M, Sheidley BR, Poduri A. Diagnostic yield of genetic tests in epilepsy: a meta-analysis and cost-effectiveness study. Neurology. 2019;92:e418–28. https://doi.org/10.1212/WNL.0000000000006850.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Bittles AH, Black ML. Consanguinity, human evolution, and complex diseases. Proc Natl Acad Sci. 2010;107:1779–86. https://doi.org/10.1073/pnas.0906079106.

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  6. Dobon B, Hassan HY, Laayouni H, Luisi P, Ricaño-Ponce I, Zhernakova A, et al. The genetics of East African populations: a Nilo-Saharan component in the African genetic landscape. Sci Rep. 2015;5:9996. https://doi.org/10.1038/srep09996.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Mohammed IN, Abdel Moneim M, Abdel Rahman A. The profile of childhood epilepsy in Sudan. Khartoum Med J. 2010;03:444–7.

    Google Scholar 

  8. Genomics England PanelApp. Genetic epilepsy syndromes panel (Version: 2.2). 2020. https://panelapp.genomicsengland.co.uk.

  9. Wang J, Lin ZJ, Liu L, Xu HQ, Shi YW, Yi YH, et al. Epilepsy-associated genes. Seizure. 2017;44:11–20. https://doi.org/10.1016/j.seizure.2016.11.030.

    Article  CAS  PubMed  Google Scholar 

  10. Scheffer IE, Grinton BE, Heron SE, Kivity S, Afawi Z, Iona X, et al. PRRT2 phenotypic spectrum includes sporadic and fever-related infantile seizures. Neurology. 2012;79:2104–8. https://doi.org/10.1212/WNL.0b013e3182752c6c.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Schubert J, Paravidino R, Becker F, Berger A, Bebek N, Bianchi A, et al. PRRT2 mutations are the major cause of benign familial infantile seizures. Hum Mutat. 2012;33:1439–43. https://doi.org/10.1002/humu.22126.

    Article  CAS  PubMed  Google Scholar 

  12. Landolfi A, Barone P, Erro R. The spectrum of PRRT2-associated disorders: update on clinical features and pathophysiology. Front Neurol. 2021;12:629747. https://doi.org/10.3389/fneur.2021.629747.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Ebrahimi-Fakhari D, Saffari A, Westenberger A, Klein C. The evolving spectrum of PRRT2-associated paroxysmal diseases. Brain: A J Neurol. 2015;138:3476–3495. https://doi.org/10.1093/brain/awv317.

    Article  Google Scholar 

  14. Döring JH, Saffari A, Bast T, Brockmann K, Ehrhardt L, Fazeli W, et al. The phenotypic spectrum of PRRT2-associated paroxysmal neurologic disorders in childhood. Biomedicines. 2020;8:E456. https://doi.org/10.3390/biomedicines8110456.

    Article  CAS  Google Scholar 

  15. Chen Y, Chen D, Zhao S, Liu G, Li H, Wu ZY. Penetrance estimation of PRRT2 variants in paroxysmal kinesigenic dyskinesia and infantile convulsions. Front Med. 2021;15:877–86. https://doi.org/10.1007/s11684-021-0863-4.

    Article  PubMed  Google Scholar 

  16. Delcourt M, Riant F, Mancini J, Milh M, Navarro V, Roze E, et al. Severe phenotypic spectrum of biallelic mutations in PRRT2 gene. J Neurol Neurosurg Psychiatry. 2015;86:782–785. https://doi.org/10.1136/jnnp-2014-309025.

    Article  PubMed  Google Scholar 

  17. Raponi M, Baralle D. Alternative splicing: good and bad effects of translationally silent substitutions: alternative splicing. FEBS J. 2010;277:836–40. https://doi.org/10.1111/j.1742-4658.2009.07519.x.

    Article  CAS  PubMed  Google Scholar 

  18. Singer-Berk M, Gudmundsson S, Baxter S, Seaby EG, England E, Wood JC, et al. Advanced variant classification framework reduces the false positive rate of predicted loss-of-function variants in population sequencing data. Am J Hum Genet. 2023;110:1496–508. https://doi.org/10.1016/j.ajhg.2023.08.005.

    Article  CAS  PubMed  Google Scholar 

  19. Abramowicz A, Gos M. Splicing mutations in human genetic disorders: Examples, detection, and confirmation. J Appl Genet. 2018;59:253–68. https://doi.org/10.1007/s13353-018-0444-7.

    Article  CAS  Google Scholar 

Download references

Funding

This work was supported by grants from the ‘Deutsche Forschungsgemeinschaft’ (DFG Research Unit FOR2715; grants Le1030/16-1 and Le1030/16-2) and the ‘Stiftung no epilep’ to Holger Lerche. Mahmoud Koko was supported by a doctoral grant from the ‘Deutscher Akademischer Austauschdienst’ (DAAD program 57214224). LEOE was supported by Princess Nourah bint Abdulrahman University Researchers supporting project number (PNURSP2022R172), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. MAS was supported by King Saud University Researchers supporting project number (RSP-2020/38), King Saud University, Riyadh, Saudi Arabia. The funding source(s) had no involvement in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

Author information

Authors and Affiliations

Authors

Contributions

Conception and Design: HL, LE, JS, AY, MK, MT, ME, IM, AH, MEI, MS. Primary clinical evaluation: ME, IM, AH, MS, AY. Recruitment and sampling of families: AY, RA, MK, AA, MA, IO, EA, EZ, FE, WA, EOA, EE, MOI, NH, HM, AB. Control datasets: LE, AY, MEI, MA, YB, MOI, MK. Exome Sequencing: JA, JS, MK, LE, AY, MA, YB, MEI, PN, HL. Array genotyping: MT, JS, MK, PN, HL. Data analysis and interpretation: MK, JS, HL. Writing - first draft: MK. Writing - critical revisions: MK, HL, ME, LE, AY. All authors revised and approved the final version of the manuscript. See the Supplementary for a detailed account of individual contributions.

Corresponding author

Correspondence to Liena E. O. Elsayed.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics and informed consent

Written informed consent for publication of their clinical details and/or clinical images was obtained from the participants/patients or their parents. All procedures in this study were performed following the standards the 1975 Helsinki declaration and its later amendments as well as the standards of the research committees of the Faculty of Medicine, University of Khartoum (Khartoum, Sudan).

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

Koko, M., Elseed, M.A., Mohammed, I.N. et al. Bi-allelic PRRT2 variants may predispose to Self-limited Familial Infantile Epilepsy. Eur J Hum Genet (2024). https://doi.org/10.1038/s41431-024-01541-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41431-024-01541-x

Search

Quick links