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Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model
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 genoty...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293633/ https://www.ncbi.nlm.nih.gov/pubmed/30564305 http://dx.doi.org/10.1186/s13229-018-0247-z |
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author | Guo, Hui Wang, Tianyun Wu, Huidan Long, Min Coe, Bradley P. Li, Honghui Xun, Guanglei Ou, Jianjun Chen, Biyuan Duan, Guiqin Bai, Ting Zhao, Ningxia Shen, Yidong Li, Yun Wang, Yazhe Zhang, Yu Baker, Carl Liu, Yanling Pang, Nan Huang, Lian Han, Lin Jia, Xiangbin Liu, Cenying Ni, Hailun Yang, Xinyi Xia, Lu Chen, Jingjing Shen, Lu Li, Ying Zhao, Rongjuan Zhao, Wenjing Peng, Jing Pan, Qian Long, Zhigao Su, Wei Tan, Jieqiong Du, Xiaogang Ke, Xiaoyan Yao, Meiling Hu, Zhengmao Zou, Xiaobing Zhao, Jingping Bernier, Raphael A. Eichler, Evan E. Xia, Kun |
author_facet | Guo, Hui Wang, Tianyun Wu, Huidan Long, Min Coe, Bradley P. Li, Honghui Xun, Guanglei Ou, Jianjun Chen, Biyuan Duan, Guiqin Bai, Ting Zhao, Ningxia Shen, Yidong Li, Yun Wang, Yazhe Zhang, Yu Baker, Carl Liu, Yanling Pang, Nan Huang, Lian Han, Lin Jia, Xiangbin Liu, Cenying Ni, Hailun Yang, Xinyi Xia, Lu Chen, Jingjing Shen, Lu Li, Ying Zhao, Rongjuan Zhao, Wenjing Peng, Jing Pan, Qian Long, Zhigao Su, Wei Tan, Jieqiong Du, Xiaogang Ke, Xiaoyan Yao, Meiling Hu, Zhengmao Zou, Xiaobing Zhao, Jingping Bernier, Raphael A. Eichler, Evan E. Xia, Kun |
author_sort | Guo, Hui |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13229-018-0247-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6293633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62936332018-12-18 Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model Guo, Hui Wang, Tianyun Wu, Huidan Long, Min Coe, Bradley P. Li, Honghui Xun, Guanglei Ou, Jianjun Chen, Biyuan Duan, Guiqin Bai, Ting Zhao, Ningxia Shen, Yidong Li, Yun Wang, Yazhe Zhang, Yu Baker, Carl Liu, Yanling Pang, Nan Huang, Lian Han, Lin Jia, Xiangbin Liu, Cenying Ni, Hailun Yang, Xinyi Xia, Lu Chen, Jingjing Shen, Lu Li, Ying Zhao, Rongjuan Zhao, Wenjing Peng, Jing Pan, Qian Long, Zhigao Su, Wei Tan, Jieqiong Du, Xiaogang Ke, Xiaoyan Yao, Meiling Hu, Zhengmao Zou, Xiaobing Zhao, Jingping Bernier, Raphael A. Eichler, Evan E. Xia, Kun Mol Autism Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13229-018-0247-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-13 /pmc/articles/PMC6293633/ /pubmed/30564305 http://dx.doi.org/10.1186/s13229-018-0247-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Guo, Hui Wang, Tianyun Wu, Huidan Long, Min Coe, Bradley P. Li, Honghui Xun, Guanglei Ou, Jianjun Chen, Biyuan Duan, Guiqin Bai, Ting Zhao, Ningxia Shen, Yidong Li, Yun Wang, Yazhe Zhang, Yu Baker, Carl Liu, Yanling Pang, Nan Huang, Lian Han, Lin Jia, Xiangbin Liu, Cenying Ni, Hailun Yang, Xinyi Xia, Lu Chen, Jingjing Shen, Lu Li, Ying Zhao, Rongjuan Zhao, Wenjing Peng, Jing Pan, Qian Long, Zhigao Su, Wei Tan, Jieqiong Du, Xiaogang Ke, Xiaoyan Yao, Meiling Hu, Zhengmao Zou, Xiaobing Zhao, Jingping Bernier, Raphael A. Eichler, Evan E. Xia, Kun Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model |
title | Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model |
title_full | Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model |
title_fullStr | Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model |
title_full_unstemmed | Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model |
title_short | Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model |
title_sort | inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293633/ https://www.ncbi.nlm.nih.gov/pubmed/30564305 http://dx.doi.org/10.1186/s13229-018-0247-z |
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