Back to Search Start Over

Frequency and Complexity of De Novo Structural Mutation in Autism

Authors :
Danny Antaki
Daniel J. Barrera
Oanh Hong
Karin V. Fuentes Fajardo
Alysson R. Muotri
Natacha Akshoomoff
Charles M. Strom
Stephen Sanders
Eric Courchesne
Gail E. Reiner
Jasper A. Estabillo
Christina Corsello
Keith K. Vaux
Guan Ning Lin
Terry Solomon
Amina Noor
Lilia M. Iakoucheva
William M. Brandler
Jeffrey Yuan
Renius Owen
Amanda C. Watts
Madhusudan Gujral
Kang Zhang
Karen Pierce
Dheeraj Malhotra
Michael Baughn
Abhishek Bhandari
Suzanne M. Leal
Michelle S. Maile
Gabriel Rosanio
Alexandra G Moyzis
Timothy R. Chapman
Therese E. Gadomski
Jonathan Sebat
Lawrence C. Wong
Source :
American journal of human genetics, vol 98, iss 4
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Genetic studies of autism spectrum disorder (ASD) have established that de novo duplications and deletions contribute to risk. However, ascertainment of structural variants (SVs) has been restricted by the coarse resolution of current approaches. By applying a custom pipeline for SV discovery, genotyping, and de novo assembly to genome sequencing of 235 subjects (71 affected individuals, 26 healthy siblings, and their parents), we compiled an atlas of 29,719 SV loci (5,213/genome), comprising 11 different classes. We found a high diversity of de novo mutations, the majority of which were undetectable by previous methods. In addition, we observed complex mutation clusters where combinations of de novo SVs, nucleotide substitutions, and indels occurred as a single event. We estimate a high rate of structural mutation in humans (20%) and propose that genetic risk for ASD is attributable to an elevated frequency of gene-disrupting de novo SVs, but not an elevated rate of genome rearrangement.

Details

ISSN :
00029297
Volume :
98
Database :
OpenAIRE
Journal :
The American Journal of Human Genetics
Accession number :
edsair.doi.dedup.....655c9bc0c1164fa1d11700851dda952a
Full Text :
https://doi.org/10.1016/j.ajhg.2016.02.018