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Open AccessJournal ArticleDOI

De novo mutations in epileptic encephalopathies

Andrew S. Allen, +72 more
- 12 Sep 2013 - 
- Vol. 501, Iss: 7466, pp 217-221
TLDR
In this paper, a screen for de novo mutations in patients with two classical epileptic encephalopathies: infantile spasms and Lennox-Gastaut syndrome (n = 115) was performed.
Abstract
Epileptic encephalopathies are a devastating group of severe childhood epilepsy disorders for which the cause is often unknown. Here we report a screen for de novo mutations in patients with two classical epileptic encephalopathies: infantile spasms (n = 149) and Lennox-Gastaut syndrome (n = 115). We sequenced the exomes of 264 probands, and their parents, and confirmed 329 de novo mutations. A likelihood analysis showed a significant excess of de novo mutations in the ∼4,000 genes that are the most intolerant to functional genetic variation in the human population (P = 2.9 × 10(-3)). Among these are GABRB3, with de novo mutations in four patients, and ALG13, with the same de novo mutation in two patients; both genes show clear statistical evidence of association with epileptic encephalopathy. Given the relevant site-specific mutation rates, the probabilities of these outcomes occurring by chance are P = 4.1 × 10(-10) and P = 7.8 × 10(-12), respectively. Other genes with de novo mutations in this cohort include CACNA1A, CHD2, FLNA, GABRA1, GRIN1, GRIN2B, HNRNPU, IQSEC2, MTOR and NEDD4L. Finally, we show that the de novo mutations observed are enriched in specific gene sets including genes regulated by the fragile X protein (P < 10(-8)), as has been reported previously for autism spectrum disorders.

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Prevalence and architecture of de novo mutations in developmental disorders

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References
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Journal ArticleDOI

Patterns and rates of exonic de novo mutations in autism spectrum disorders

TL;DR: Results from de novo events and a large parallel case–control study provide strong evidence in favour of CHD8 and KATNAL2 as genuine autism risk factors and support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5- to 20-fold.
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