Genome-wide characteristics of de novo mutations in autism

  • Ryan K.C. Yuen
  • , Daniele Merico
  • , Hongzhi Cao
  • , Giovanna Pellecchia
  • , Babak Alipanahi
  • , Bhooma Thiruvahindrapuram
  • , Xin Tong
  • , Yuhui Sun
  • , Dandan Cao
  • , Tao Zhang
  • , Xueli Wu
  • , Xin Jin
  • , Ze Zhou
  • , Xiaomin Liu
  • , Thomas Nalpathamkalam
  • , Susan Walker
  • , Jennifer L. Howe
  • , Zhuozhi Wang
  • , Jeffrey R. Macdonald
  • , Ada J.S. Chan
  • Lia D'Abate, Eric Deneault, Michelle T. Siu, Kristiina Tammimies, Mohammed Uddin, Mehdi Zarrei, Mingbang Wang, Yingrui Li, Jun Wang, Jian Wang, Huanming Yang, Matt Bookman, Jonathan Bingham, Samuel S. Gross, Dion Loy, Mathew Pletcher, Christian R. Marshall, Evdokia Anagnostou, Lonnie Zwaigenbaum, Rosanna Weksberg, Bridget A. Fernandez, Wendy Roberts, Peter Szatmari, David Glazer, Brendan J. Frey, Robert H. Ring, Xun Xu, Stephen W. Scherer

Research output: Contribution to journalArticlepeer-review

172 Scopus citations

Abstract

De novo mutations (DNMs) are important in autism spectrum disorder (ASD), but so far analyses have mainly been on the ~ 1.5% of the genome encoding genes. Here, we performed whole-genome sequencing (WGS) of 200 ASD parent-child trios and characterised germline and somatic DNMs. We confirmed that the majority of germline DNMs (75.6%) originated from the father, and these increased significantly with paternal age only (P = 4.2 × 10-10). However, when clustered DNMs (those within 20 kb) were found in ASD, not only did they mostly originate from the mother (P = 7.7 × 10- 13), but they could also be found adjacent to de novo copy number variations where the mutation rate was significantly elevated (P = 2.4 × 10- 24). By comparing with DNMs detected in controls, we found a significant enrichment of predicted damaging DNMs in ASD cases (P = 8.0 × 10-9; odds ratio = 1.84), of which 15.6% (P = 4.3 × 10-3) and 22.5% (P = 7.0 × 10-5) were non-coding or genic non-coding, respectively. The non-coding elements most enriched for DNM were untranslated regions of genes, regulatory sequences involved in exon-skipping and DNase I hypersensitive regions. Using microarrays and a novel outlier detection test, we also found aberrant methylation profiles in 2/185 (1.1%) of ASD cases. These same individuals carried independently identified DNMs in the ASD-risk and epigenetic genes DNMT3A and ADNP. Our data begins to characterize different genome-wide DNMs, and highlight the contribution of noncoding variants, to the aetiology of ASD.

Original languageEnglish
Article number16027
Journalnpj Genomic Medicine
Volume1
DOIs
StatePublished - 3 Aug 2016
Externally publishedYes

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