Evidence map›Paper›PMID 31205075›Full record

ArticleChinese medical journal2019

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

Li-Hong Liao, Chen Chen, Jing Peng, Li-Wen Wu, Fang He, Li-Fen Yang, Ci-Liu Zhang, Guo-Li Wang, Pan Peng, Yu-Ping Ma and 2 more

Abstract read
In one paragraph

Article in Chinese medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Li-Hong LiaoDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Chen ChenDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Jing PengDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Li-Wen WuDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Fang HeDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Li-Fen YangDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Ci-Liu ZhangDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Guo-Li WangDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Pan PengDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Yu-Ping MaDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Pu MiaoDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Fei YinDepartment of Pediatrics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced 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.

methodsWe 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.

resultsWe 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 = 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.

conclusionsThe 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.

Indexed as

AdolescentChildChild, PreschoolChinaDNA Copy Number VariationsFemaleGenetic TestingHumansInfantInfant, NewbornIntellectual DisabilityMaleMutation

Identifiers

PMID31205075
PMCPMC6616229

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.