Evidence map›Paper›PMID 24926319›Full record

ArticleMolecular cytogenetics2014

Performance of chromosomal microarray for patients with intellectual disabilities/developmental delay, autism, and multiple congenital anomalies in a Chinese cohort.

Wilson Wai Sing Chong, Ivan Fai Man Lo, Stephen Tak Sum Lam, Chi Chiu Wang, Ho Ming Luk, Tak Yeung Leung, Kwong Wai Choy

Open access · goldAbstract read
In one paragraph

Article in Molecular cytogenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 44 citations in OpenAlex.

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  6. Low-pass genome sequencing versus chromosomal microarray analysis: implementation in prenatal diagnosis.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
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  18. Low-pass whole-genome sequencing in clinical cytogenetics: a validated approach.Genetics in medicine : official journal of the American College of Medical Genetics · 2016
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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

7 authors at 3 institutions in 1 country.

Wilson Wai Sing ChongDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China ; Prenatal genetic diagnosis laboratory, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China.
Ivan Fai Man LoClinical Genetic Service, Department of Health, Hong Kong SAR, China.
Stephen Tak Sum LamClinical Genetic Service, Department of Health, Hong Kong SAR, China.
Chi Chiu WangDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China ; Prenatal genetic diagnosis laboratory, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China.
Ho Ming LukClinical Genetic Service, Department of Health, Hong Kong SAR, China.
Tak Yeung LeungDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China ; Prenatal genetic diagnosis laboratory, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China.
Kwong Wai ChoyDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China ; Prenatal genetic diagnosis laboratory, Prince of Wales Hospital, 30-32 Ngan Shing Street, Shatin, Hong Kong SAR, China ; CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China ; Joint Centre with Utrecht University-Genetic Core, School of Biomedical Science, The Chinese University of Hong Kong, Hong Kong SAR, China.
Chinese University of Hong Kong · CNDepartment of Health · CNPrince of Wales Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChromosomal microarray (CMA) is currently the first-tier genetic test for patients with idiopathic neuropsychiatric diseases in many countries. Its improved diagnostic yield over karyotyping and other molecular testing facilitates the identification of the underlying causes of neuropsychiatric diseases. In this study, we applied oligonucleotide array comparative genomic hybridization as the molecular genetic test in a Chinese cohort of children with DD/ID, autism or MCA.

resultsCMA identified 7 clinically significant microduplications and 17 microdeletions in 19.0% (20/105) patients, with size of aberrant regions ranging from 11 kb to 10.7 Mb. Fourteen of the pathogenic copy number variant (CNV) detected corresponded to well known microdeletion or microduplication syndromes. Four overlapped with critical regions of recently identified genomic syndromes. We also identified a rare de novo 2.3 Mb deletion at 8p21.3-21.2 as a pathogenic submicroscopic CNV. We also identified two novel CNVs, one at Xq28 and the other at 12q21.31-q21.33, in two patients (1.9%) with unclear clinical significance. Overall, the detection rate of CMA is comparable to figures previously reported for accurately detect submicroscopic chromosomal imbalances and pathogenic CNVs except mosaicism, balanced translocation and inversion.

conclusionsThis study provided further evidence of an increased diagnostic yield of CMA and supported its use as a first line diagnostic tool for Chinese individuals with DD/ID, ASD, and MCA.

Indexed as

Array CGHChromosomal microarrayDevelopmental delayIntellectual disabilitiesMultiple congenital anomalies

Identifiers

PMID24926319
PMCPMC4055236
OpenAlexW2109384840

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Registered trials

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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.