Molecular Autism (Dec 2018)

Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model

  • Hui Guo,
  • Tianyun Wang,
  • Huidan Wu,
  • Min Long,
  • Bradley P. Coe,
  • Honghui Li,
  • Guanglei Xun,
  • Jianjun Ou,
  • Biyuan Chen,
  • Guiqin Duan,
  • Ting Bai,
  • Ningxia Zhao,
  • Yidong Shen,
  • Yun Li,
  • Yazhe Wang,
  • Yu Zhang,
  • Carl Baker,
  • Yanling Liu,
  • Nan Pang,
  • Lian Huang,
  • Lin Han,
  • Xiangbin Jia,
  • Cenying Liu,
  • Hailun Ni,
  • Xinyi Yang,
  • Lu Xia,
  • Jingjing Chen,
  • Lu Shen,
  • Ying Li,
  • Rongjuan Zhao,
  • Wenjing Zhao,
  • Jing Peng,
  • Qian Pan,
  • Zhigao Long,
  • Wei Su,
  • Jieqiong Tan,
  • Xiaogang Du,
  • Xiaoyan Ke,
  • Meiling Yao,
  • Zhengmao Hu,
  • Xiaobing Zou,
  • Jingping Zhao,
  • Raphael A. Bernier,
  • Evan E. Eichler,
  • Kun Xia

DOI
https://doi.org/10.1186/s13229-018-0247-z
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 12

Abstract

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Abstract Background We previously performed targeted sequencing of autism risk genes in probands from the Autism Clinical and Genetic Resources in China (ACGC) (phase I). Here, we expand this analysis to a larger cohort of patients (ACGC phase II) to better understand the prevalence, inheritance, and genotype–phenotype correlations of likely gene-disrupting (LGD) mutations for autism candidate genes originally identified in cohorts of European descent. Methods We sequenced 187 autism candidate genes in an additional 784 probands and 85 genes in 599 probands using single-molecule molecular inversion probes. We tested the inheritance of potentially pathogenic mutations, performed a meta-analysis of phase I and phase II data and combined our results with existing exome sequence data to investigate the phenotypes of carrier parents and patients with multiple hits in different autism risk genes. Results We validated recurrent, LGD, de novo mutations (DNMs) in 13 genes. We identified a potential novel risk gene (ZNF292), one novel gene with recurrent LGD DNMs (RALGAPB), as well as genes associated with macrocephaly (GIGYF2 and WDFY3). We identified the transmission of private LGD mutations in genes predominantly associated with DNMs and showed that parental carriers tended to share milder autism-related phenotypes. Patients that carried DNMs in two or more candidate genes show more severe phenotypes. Conclusions We identify new risk genes and transmission of deleterious mutations in genes primarily associated with DNMs. The fact that parental carriers show milder phenotypes and patients with multiple hits are more severe supports a multifactorial model of risk.

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