Literature DB >> 22495306

De novo mutations revealed by whole-exome sequencing are strongly associated with autism.

Stephan J Sanders1, Michael T Murtha, Abha R Gupta, John D Murdoch, Melanie J Raubeson, A Jeremy Willsey, A Gulhan Ercan-Sencicek, Nicholas M DiLullo, Neelroop N Parikshak, Jason L Stein, Michael F Walker, Gordon T Ober, Nicole A Teran, Youeun Song, Paul El-Fishawy, Ryan C Murtha, Murim Choi, John D Overton, Robert D Bjornson, Nicholas J Carriero, Kyle A Meyer, Kaya Bilguvar, Shrikant M Mane, Nenad Sestan, Richard P Lifton, Murat Günel, Kathryn Roeder, Daniel H Geschwind, Bernie Devlin, Matthew W State.   

Abstract

Multiple studies have confirmed the contribution of rare de novo copy number variations to the risk for autism spectrum disorders. But whereas de novo single nucleotide variants have been identified in affected individuals, their contribution to risk has yet to be clarified. Specifically, the frequency and distribution of these mutations have not been well characterized in matched unaffected controls, and such data are vital to the interpretation of de novo coding mutations observed in probands. Here we show, using whole-exome sequencing of 928 individuals, including 200 phenotypically discordant sibling pairs, that highly disruptive (nonsense and splice-site) de novo mutations in brain-expressed genes are associated with autism spectrum disorders and carry large effects. On the basis of mutation rates in unaffected individuals, we demonstrate that multiple independent de novo single nucleotide variants in the same gene among unrelated probands reliably identifies risk alleles, providing a clear path forward for gene discovery. Among a total of 279 identified de novo coding mutations, there is a single instance in probands, and none in siblings, in which two independent nonsense variants disrupt the same gene, SCN2A (sodium channel, voltage-gated, type II, α subunit), a result that is highly unlikely by chance.

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Year:  2012        PMID: 22495306      PMCID: PMC3667984          DOI: 10.1038/nature10945

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  23 in total

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10.  Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations.

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Review 5.  Stem cells and modeling of autism spectrum disorders.

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6.  Primate phylogenetic relationships and divergence dates inferred from complete mitochondrial genomes.

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7.  Exonic Mosaic Mutations Contribute Risk for Autism Spectrum Disorder.

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8.  A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies.

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Review 9.  Activity-dependent neuronal signalling and autism spectrum disorder.

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