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Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model
by
Li, Yun
, Zou, Xiaobing
, Liu, Yanling
, Zhang, Yu
, Bai, Ting
, Wang, Tianyun
, Peng, Jing
, Su, Wei
, Zhao, Jingping
, Wu, Huidan
, Chen, Jingjing
, Yang, Xinyi
, Wang, Yazhe
, Tan, Jieqiong
, Xia, Kun
, Duan, Guiqin
, Pang, Nan
, Coe, Bradley P.
, Long, Zhigao
, Zhao, Rongjuan
, Hu, Zhengmao
, Ke, Xiaoyan
, Han, Lin
, Ou, Jianjun
, Liu, Cenying
, Eichler, Evan E.
, Chen, Biyuan
, Xia, Lu
, Yao, Meiling
, Li, Ying
, Zhao, Wenjing
, Guo, Hui
, Shen, Yidong
, Ni, Hailun
, Pan, Qian
, Xun, Guanglei
, Zhao, Ningxia
, Huang, Lian
, Baker, Carl
, Du, Xiaogang
, Bernier, Raphael A.
, Long, Min
, Li, Honghui
, Shen, Lu
, Jia, Xiangbin
in
Adult
/ Analysis
/ Autism
/ Autism Spectrum Disorder - genetics
/ Autism spectrum disorders
/ Care and treatment
/ Child
/ Consortia
/ De novo mutations
/ Deoxyribonucleic acid
/ DNA
/ DNA sequencing
/ Female
/ Gene mutation
/ Genes
/ Genetic aspects
/ Genetic counseling
/ Genetic testing
/ Genomes
/ Genotype & phenotype
/ Genotype–phenotype relationship
/ Human Genetics
/ Humans
/ Male
/ Medicine
/ Medicine & Public Health
/ Models, Genetic
/ Multifactorial Inheritance
/ Multifactorial model
/ Multiple hit
/ Mutation
/ Neurology
/ Neuropsychology
/ Neurosciences
/ Pediatrics
/ Pedigree
/ Psychiatry
/ Quantitative Trait Loci
/ Systematic review
/ Targeted sequencing
2018
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Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model
by
Li, Yun
, Zou, Xiaobing
, Liu, Yanling
, Zhang, Yu
, Bai, Ting
, Wang, Tianyun
, Peng, Jing
, Su, Wei
, Zhao, Jingping
, Wu, Huidan
, Chen, Jingjing
, Yang, Xinyi
, Wang, Yazhe
, Tan, Jieqiong
, Xia, Kun
, Duan, Guiqin
, Pang, Nan
, Coe, Bradley P.
, Long, Zhigao
, Zhao, Rongjuan
, Hu, Zhengmao
, Ke, Xiaoyan
, Han, Lin
, Ou, Jianjun
, Liu, Cenying
, Eichler, Evan E.
, Chen, Biyuan
, Xia, Lu
, Yao, Meiling
, Li, Ying
, Zhao, Wenjing
, Guo, Hui
, Shen, Yidong
, Ni, Hailun
, Pan, Qian
, Xun, Guanglei
, Zhao, Ningxia
, Huang, Lian
, Baker, Carl
, Du, Xiaogang
, Bernier, Raphael A.
, Long, Min
, Li, Honghui
, Shen, Lu
, Jia, Xiangbin
in
Adult
/ Analysis
/ Autism
/ Autism Spectrum Disorder - genetics
/ Autism spectrum disorders
/ Care and treatment
/ Child
/ Consortia
/ De novo mutations
/ Deoxyribonucleic acid
/ DNA
/ DNA sequencing
/ Female
/ Gene mutation
/ Genes
/ Genetic aspects
/ Genetic counseling
/ Genetic testing
/ Genomes
/ Genotype & phenotype
/ Genotype–phenotype relationship
/ Human Genetics
/ Humans
/ Male
/ Medicine
/ Medicine & Public Health
/ Models, Genetic
/ Multifactorial Inheritance
/ Multifactorial model
/ Multiple hit
/ Mutation
/ Neurology
/ Neuropsychology
/ Neurosciences
/ Pediatrics
/ Pedigree
/ Psychiatry
/ Quantitative Trait Loci
/ Systematic review
/ Targeted sequencing
2018
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Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model
by
Li, Yun
, Zou, Xiaobing
, Liu, Yanling
, Zhang, Yu
, Bai, Ting
, Wang, Tianyun
, Peng, Jing
, Su, Wei
, Zhao, Jingping
, Wu, Huidan
, Chen, Jingjing
, Yang, Xinyi
, Wang, Yazhe
, Tan, Jieqiong
, Xia, Kun
, Duan, Guiqin
, Pang, Nan
, Coe, Bradley P.
, Long, Zhigao
, Zhao, Rongjuan
, Hu, Zhengmao
, Ke, Xiaoyan
, Han, Lin
, Ou, Jianjun
, Liu, Cenying
, Eichler, Evan E.
, Chen, Biyuan
, Xia, Lu
, Yao, Meiling
, Li, Ying
, Zhao, Wenjing
, Guo, Hui
, Shen, Yidong
, Ni, Hailun
, Pan, Qian
, Xun, Guanglei
, Zhao, Ningxia
, Huang, Lian
, Baker, Carl
, Du, Xiaogang
, Bernier, Raphael A.
, Long, Min
, Li, Honghui
, Shen, Lu
, Jia, Xiangbin
in
Adult
/ Analysis
/ Autism
/ Autism Spectrum Disorder - genetics
/ Autism spectrum disorders
/ Care and treatment
/ Child
/ Consortia
/ De novo mutations
/ Deoxyribonucleic acid
/ DNA
/ DNA sequencing
/ Female
/ Gene mutation
/ Genes
/ Genetic aspects
/ Genetic counseling
/ Genetic testing
/ Genomes
/ Genotype & phenotype
/ Genotype–phenotype relationship
/ Human Genetics
/ Humans
/ Male
/ Medicine
/ Medicine & Public Health
/ Models, Genetic
/ Multifactorial Inheritance
/ Multifactorial model
/ Multiple hit
/ Mutation
/ Neurology
/ Neuropsychology
/ Neurosciences
/ Pediatrics
/ Pedigree
/ Psychiatry
/ Quantitative Trait Loci
/ Systematic review
/ Targeted sequencing
2018
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Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model
Journal Article
Inherited and multiple de novo mutations in autism/developmental delay risk genes suggest a multifactorial model
2018
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Overview
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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