Precision medicine for developmental and epileptic encephalopathies in Africa-strategies for a resource-limited setting

Genet Med. 2023 Feb;25(2):100333. doi: 10.1016/j.gim.2022.11.002. Epub 2022 Dec 8.

Abstract

Purpose: Sub-Saharan Africa bears the highest burden of epilepsy worldwide. A presumed proportion is genetic, but this etiology is buried under the burden of infections and perinatal insults in a setting of limited awareness and few options for testing. Children with developmental and epileptic encephalopathies (DEEs) are most severely affected by this diagnostic gap in Africa, because the rate of actionable findings is highest in DEE-associated genes.

Methods: We tested 234 genetically naive South African children diagnosed with/possible DEE using gene panels, exome sequencing, and chromosomal microarray. Statistical comparison of electroclinical features in children with and children without candidate variants was performed to identify characteristics most likely predictive of a positive genetic finding.

Results: Of the 41 (of 234) children with likely/pathogenic variants, 26 had variants supporting precision therapy. Multivariate regression modeling highlighted neonatal or infantile-onset seizures and movement abnormalities as predictive of a positive genetic finding. We used this, coupled with an emphasis on precision medicine outcomes, to propose the pragmatic "Think-Genetics" strategy for early recognition of a possible genetic etiology.

Conclusion: Our findings emphasize the importance of an early genetic diagnosis in DEE. We designed the Think-Genetics strategy for early recognition, appropriate interim management, and genetic testing for DEE in resource-constrained settings.

Keywords: DEE; Genetic epilepsy; Genetic testing; LMICs; South Africa.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Africa
  • Child
  • Epilepsy* / diagnosis
  • Epilepsy* / epidemiology
  • Epilepsy* / genetics
  • Genetic Testing
  • Humans
  • Infant, Newborn
  • Precision Medicine*
  • Resource-Limited Settings