4.8 Article

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

Journal

NATURE
Volume 485, Issue 7397, Pages 242-U129

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature11011

Keywords

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Funding

  1. NIH [R01MH089208, R01 MH089025, R01 MH089004, R01MH089175, R01 MH089482, P50 HD055751, RO1 MH057881, R01 MH061009]
  2. Seaver Foundation
  3. NIH NCRR [UL1 RR024975]
  4. Vanderbilt Kennedy Center for Research on Human Development [P30 HD015052]
  5. [R01MH084676]
  6. [U54 HG003273]
  7. [U54 HG003067]
  8. Direct For Computer & Info Scie & Enginr
  9. Div Of Information & Intelligent Systems [1332109] Funding Source: National Science Foundation
  10. Div Of Information & Intelligent Systems
  11. Direct For Computer & Info Scie & Enginr [1116730] Funding Source: National Science Foundation

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Autism spectrum disorders (ASD) are believed to have genetic and environmental origins, yet in only a modest fraction of individuals can specific causes be identified(1,2). To identify further genetic risk factors, here we assess the role of de novo mutations in ASD by sequencing the exomes of ASD cases and their parents (n = 175 trios). Fewer than half of the cases (46.3%) carry a missense or nonsense de novo variant, and the overall rate of mutation is only modestly higher than the expected rate. In contrast, the proteins encoded by genes that harboured de novo missense or nonsense mutations showed a higher degree of connectivityamong themselves and to previous ASD genes(3) as indexed by protein-protein interaction screens. The small increase in the rate of de novo events, when taken together with the protein interaction results, are consistent with an important but limited role for de novo point mutations in ASD, similar to that documented for de novo copy number variants. Genetic models incorporating these data indicate that most of the observed de novo events are unconnected to ASD; those that do confer risk are distributed across many genes and are incompletely penetrant (that is, not necessarily sufficient for disease). Our results support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5- to 20-fold. Despite the challenge posed by such models, 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.

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