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Pitfalls in genetic testing: the story of missed SCN1A mutations

the story of missed SCN1A mutations
Authors: Djémié, Tania; Weckhuysen, Sarah; von Spiczak, Sarah; Carvill, Gemma L; Jaehn, Johanna; Anttonen, Anna Kaisa; Brilstra, Eva; +39 Authors

Pitfalls in genetic testing: the story of missed SCN1A mutations

Abstract

AbstractBackgroundSanger sequencing, still the standard technique for genetic testing in most diagnostic laboratories and until recently widely used in research, is gradually being complemented by next‐generation sequencing (NGS). No single mutation detection technique is however perfect in identifying all mutations. Therefore, we wondered to what extent inconsistencies between Sanger sequencing and NGS affect the molecular diagnosis of patients. Since mutations in SCN1A, the major gene implicated in epilepsy, are found in the majority of Dravet syndrome (DS) patients, we focused on missed SCN1A mutations.MethodsWe sent out a survey to 16 genetic centers performing SCN1A testing.ResultsWe collected data on 28 mutations initially missed using Sanger sequencing. All patients were falsely reported as SCN1A mutation‐negative, both due to technical limitations and human errors.ConclusionWe illustrate the pitfalls of Sanger sequencing and most importantly provide evidence that SCN1A mutations are an even more frequent cause of DS than already anticipated.

Countries
Italy, Denmark, Italy, Australia, Belgium, United States, Finland
Keywords

Sanger sequencing, Epilepsy, Neurosciences, 610, next‐generation sequencing, genetic screening, Original Articles, Dravet syndrome, Neurology and psychiatry, Biomedicine, Genetic screening, Dravet syndrome; Sanger sequencing; epilepsy; genetic screening; next‐generation sequencing, Next-generation sequencing, epilepsy, Original Article, Human medicine, Biology

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    75
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
75
Top 10%
Top 10%
Top 10%
Green
gold