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Lookup NU author(s): Dr David Lewis-Smith
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© 2024 American College of Medical Genetics and GenomicsPurpose: An early genetic diagnosis can guide the time-sensitive treatment of individuals with genetic epilepsies. However, most genetic diagnoses occur long after disease onset. We aimed to identify early clinical features suggestive of genetic diagnoses in individuals with epilepsy through large-scale analysis of full-text electronic medical records. Methods: We extracted 89 million time-stamped standardized clinical annotations using Natural Language Processing from 4,572,783 clinical notes from 32,112 individuals with childhood epilepsy, including 1925 individuals with known or presumed genetic epilepsies. We applied these features to train random forest models to predict SCN1A-related disorders and any genetic diagnosis. Results: We identified 47,774 age-dependent associations of clinical features with genetic etiologies a median of 3.6 years before molecular diagnosis. Across all 710 genetic etiologies identified in our cohort, neurodevelopmental differences between 6 to 9 months increased the likelihood of a later molecular diagnosis 5-fold (P <.0001, 95% CI = 3.55-7.42). A later diagnosis of SCN1A-related disorders (area under the curve [AUC] = 0.91) or an overall positive genetic diagnosis (AUC = 0.82) could be reliably predicted using random forest models. Conclusion: Clinical features predictive of genetic epilepsies precede molecular diagnoses by up to several years in conditions with known precision treatments. An earlier diagnosis facilitated by automated electronic medical records analysis has the potential for earlier targeted therapeutic strategies in the genetic epilepsies.
Author(s): Galer PD, Parthasarathy S, Xian J, McKee JL, Ruggiero SM, Ganesan S, Kaufman MC, Cohen SR, Haag S, Chen C, Ojemann WKS, Kim D, Wilmarth O, Vaidiswaran P, Sederman C, Ellis CA, Gonzalez AK, Bosselmann CM, Lal D, Sederman R, Lewis-Smith D, Litt B, Helbig I
Publication type: Article
Publication status: Published
Journal: Genetics in Medicine
Year: 2024
Volume: 26
Issue: 11
Print publication date: 01/11/2024
Online publication date: 14/07/2024
Acceptance date: 10/07/2024
ISSN (print): 1098-3600
ISSN (electronic): 1530-0366
Publisher: Elsevier B.V.
URL: https://doi.org/10.1016/j.gim.2024.101211
DOI: 10.1016/j.gim.2024.101211
PubMed id: 39011766
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