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Diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of China

BACKGROUND: Advanced technology has become a valuable tool in etiological studies of intellectual disability/global developmental delay (ID/GDD). The present study investigated the role of genetic analysis to confirm the etiology in ID/GDD patients where the cause of the disease was uncertain in cen...

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Autores principales: Liao, Li-Hong, Chen, Chen, Peng, Jing, Wu, Li-Wen, He, Fang, Yang, Li-Fen, Zhang, Ci-Liu, Wang, Guo-Li, Peng, Pan, Ma, Yu-Ping, Miao, Pu, Yin, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616229/
https://www.ncbi.nlm.nih.gov/pubmed/31205075
http://dx.doi.org/10.1097/CM9.0000000000000295
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author Liao, Li-Hong
Chen, Chen
Peng, Jing
Wu, Li-Wen
He, Fang
Yang, Li-Fen
Zhang, Ci-Liu
Wang, Guo-Li
Peng, Pan
Ma, Yu-Ping
Miao, Pu
Yin, Fei
author_facet Liao, Li-Hong
Chen, Chen
Peng, Jing
Wu, Li-Wen
He, Fang
Yang, Li-Fen
Zhang, Ci-Liu
Wang, Guo-Li
Peng, Pan
Ma, Yu-Ping
Miao, Pu
Yin, Fei
author_sort Liao, Li-Hong
collection PubMed
description BACKGROUND: Advanced technology has become a valuable tool in etiological studies of intellectual disability/global developmental delay (ID/GDD). The present study investigated the role of genetic analysis to confirm the etiology in ID/GDD patients where the cause of the disease was uncertain in central China. METHODS: We evaluated 1051 ID/GDD children aged 6 months to 18 years from March 2009 to April 2017. Data concerning basic clinical manifestations were collected, and the method of etiology confirmation was recorded. Genome-wide copy number variations (CNVs) detection and high-throughput sequencing of exons in the targeted regions was performed to identify genetically-based etiologies. We compared the incidence of different methods used to confirm ID/GDD etiology among groups with differing degrees of ID/GDD using the Chi-square or Fisher exact probability test. RESULTS: We recruited 1051 children with mild (367, 34.9%), moderate (301, 28.6%), severe (310, 29.5%), and profoundly severe (73, 6.9%) ID/GDD. The main causes of ID/GDD in the children assessed were perinatal factors, such as acquired brain injury, as well as single gene imbalance and chromosomal gene mutation. We identified karyotype and/or CNVs variation in 46/96 (47.9%) of cases in severe ID/GDD patients, which was significantly higher than those with mild and moderate ID/GDD of 34/96 (35.4%) and 15/96 (15.6%), respectively. A total of 331/536 (61.8%) patients with clear etiology have undergone genetic analysis while 262/515 (50.9%) patients with unclear etiology have undergone genetic analysis (χ(2) = 12.645, P < 0.001). Gene structure variation via karyotype analysis and CNV detection increased the proportion of children with confirmed etiology from 51.0% to 56.3%, and second-generation high-throughput sequencing dramatically increased this to 78.9%. Ten novel mutations were detected, recessive mutations in X-linked genes (ATPase copper transporting alpha and bromodomain and WD repeat domain containing 3) and dominant de novo heterozygous mutations in X-linked genes (cyclin-dependent kinase like 5, protocadherin 19, IQ motif and Sec7 domain 2, and methyl-CpG binding protein 2) were reported in the study. CONCLUSIONS: The present study indicates that genetic analysis is an effective method to increase the proportion of confirmed etiology in ID/GDD children and is highly recommended, especially in ID/GDD children with uncertain etiology.
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spelling pubmed-66162292019-07-22 Diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of China Liao, Li-Hong Chen, Chen Peng, Jing Wu, Li-Wen He, Fang Yang, Li-Fen Zhang, Ci-Liu Wang, Guo-Li Peng, Pan Ma, Yu-Ping Miao, Pu Yin, Fei Chin Med J (Engl) Original Articles BACKGROUND: Advanced technology has become a valuable tool in etiological studies of intellectual disability/global developmental delay (ID/GDD). The present study investigated the role of genetic analysis to confirm the etiology in ID/GDD patients where the cause of the disease was uncertain in central China. METHODS: We evaluated 1051 ID/GDD children aged 6 months to 18 years from March 2009 to April 2017. Data concerning basic clinical manifestations were collected, and the method of etiology confirmation was recorded. Genome-wide copy number variations (CNVs) detection and high-throughput sequencing of exons in the targeted regions was performed to identify genetically-based etiologies. We compared the incidence of different methods used to confirm ID/GDD etiology among groups with differing degrees of ID/GDD using the Chi-square or Fisher exact probability test. RESULTS: We recruited 1051 children with mild (367, 34.9%), moderate (301, 28.6%), severe (310, 29.5%), and profoundly severe (73, 6.9%) ID/GDD. The main causes of ID/GDD in the children assessed were perinatal factors, such as acquired brain injury, as well as single gene imbalance and chromosomal gene mutation. We identified karyotype and/or CNVs variation in 46/96 (47.9%) of cases in severe ID/GDD patients, which was significantly higher than those with mild and moderate ID/GDD of 34/96 (35.4%) and 15/96 (15.6%), respectively. A total of 331/536 (61.8%) patients with clear etiology have undergone genetic analysis while 262/515 (50.9%) patients with unclear etiology have undergone genetic analysis (χ(2) = 12.645, P < 0.001). Gene structure variation via karyotype analysis and CNV detection increased the proportion of children with confirmed etiology from 51.0% to 56.3%, and second-generation high-throughput sequencing dramatically increased this to 78.9%. Ten novel mutations were detected, recessive mutations in X-linked genes (ATPase copper transporting alpha and bromodomain and WD repeat domain containing 3) and dominant de novo heterozygous mutations in X-linked genes (cyclin-dependent kinase like 5, protocadherin 19, IQ motif and Sec7 domain 2, and methyl-CpG binding protein 2) were reported in the study. CONCLUSIONS: The present study indicates that genetic analysis is an effective method to increase the proportion of confirmed etiology in ID/GDD children and is highly recommended, especially in ID/GDD children with uncertain etiology. Wolters Kluwer Health 2019-07-05 2019-07-05 /pmc/articles/PMC6616229/ /pubmed/31205075 http://dx.doi.org/10.1097/CM9.0000000000000295 Text en Copyright © 2019 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Original Articles
Liao, Li-Hong
Chen, Chen
Peng, Jing
Wu, Li-Wen
He, Fang
Yang, Li-Fen
Zhang, Ci-Liu
Wang, Guo-Li
Peng, Pan
Ma, Yu-Ping
Miao, Pu
Yin, Fei
Diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of China
title Diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of China
title_full Diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of China
title_fullStr Diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of China
title_full_unstemmed Diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of China
title_short Diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of China
title_sort diagnosis of intellectual disability/global developmental delay via genetic analysis in a central region of china
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616229/
https://www.ncbi.nlm.nih.gov/pubmed/31205075
http://dx.doi.org/10.1097/CM9.0000000000000295
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