De novo mutations revealed by whole-exome sequencing are strongly associated with autism.
De novo mutations revealed by whole-exome sequencing are strongly associated with autism.
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DOI:
10.1038/nature10945
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发表时间:
2012-04-04
期刊:
影响因子:
64.8
通讯作者:
State, Matthew W.
中科院分区:
文献类型:
--
作者:
Sanders, Stephan J.;Murtha, Michael T.;Gupta, Abha R.;Murdoch, John D.;Raubeson, Melanie J.;Willsey, A. Jeremy;Ercan-Sencicek, A. Gulhan;DiLullo, Nicholas M.;Parikshak, Neelroop N.;Stein, Jason L.;Walker, Michael F.;Ober, Gordon T.;Teran, Nicole A.;Song, Youeun;El-Fishawy, Paul;Murtha, Ryan C.;Choi, Murim;Overton, John D.;Bjornson, Robert D.;Carriero, Nicholas J.;Meyer, Kyle A.;Bilguvar, Kaya;Mane, Shrikant M.;Sestan, Nenad;Lifton, Richard P.;Guenel, Murat;Roeder, Kathryn;Geschwind, Daniel H.;Devlin, Bernie;State, Matthew W.
Multiple studies have confirmed the contribution of rare de novo copy number variations (CNVs) to the risk for Autism Spectrum Disorders (ASD). While de novo single nucleotide variants (SNVs) have been identified in affected individuals, their contribution to risk has yet to be clarified. Specifically, the frequency and distribution of these mutations has not been well characterized in matched unaffected controls, data that are vital to the interpretation of de novo coding mutations observed in probands. Here we show, via 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 ASD and carry large effects (OR=5.65; CI: 1.44-22.2; p=0.01 asymptotic test). Based on mutation rates in unaffected individuals, we demonstrate that multiple independent de novo SNVs 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, Alpha Subunit), a result that is highly unlikely by chance (p=0.005).
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