Evidence map›Paper›PMID 32346853›Full record

ArticleActa obstetricia et gynecologica Scandinavica2020

Detection of copy number variants with chromosomal microarray in 10 377 pregnancies at a single laboratory.

Yi-Hui Lin, Yiin-Jeng Jong, Pin-Chia Huang, Chris Tsai

Open access · hybridAbstract read
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

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  9. How to choose a test for prenatal genetic diagnosis: a practical overview.American journal of obstetrics and gynecology · 2023
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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

4 authors at 1 institution in 1 country.

Yi-Hui LinDepartment of Obstetrics and Gynecology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0001-8881-011X
Yiin-Jeng JongGenetics Generation Advancement Corporation (GGA Corp.), Taipei, Taiwan.
Pin-Chia HuangGenetics Generation Advancement Corporation (GGA Corp.), Taipei, Taiwan.
Chris TsaiGenetics Generation Advancement Corporation (GGA Corp.), Taipei, Taiwan.
Wan Fang Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInvasive prenatal testing with chromosomal microarray analysis may be a relevant option for all pregnant women, but there is only moderate-quality evidence for such an offer. We intended to study the prevalence of copy number variants (CNVs) in prenatal samples using a single SNP-array platform stratified by indication. MATERIAL AND

methodsA cross-sectional study was performed based on a cohort. From January 2015 to December 2017, a total of 10 377 prenatal samples were received for prenatal single nucleotide polymorphism (SNP)-array in the laboratory of the Genetics Generation Advancement Corporation. Indications for chromosomal microarray analysis studies included the confirmation of an abnormal karyotype, ultrasound abnormalities, advanced maternal age and parental anxiety. CNVs and region of homozygosity identified by the SNP-array were analyzed.

resultsOf 10 377 cases, 689 had ultrasound abnormalities and 9688 were ascertained to have other indications. The overall prevalence of CNVs was 2.1% (n = 223/10 377, 95% confidence interval [CI] 1.9-2.4), but the prevalence was 4.4% (95% CI 3.0-6.1) for cases referred with abnormal ultrasound findings and 2.0% (95% CI 1.7-2.3) for other indications. Of the 223 CNVs detected, 42/10 377 were pathogenic (0.4%, 95% CI 0.3-0.6), 84 were susceptibility CNV (0.8%, 95% CI 0.6-1.0) and 97 were variants of uncertain significance (0.9%, 95% CI 0.8-1.1). Using an SNP-based platform allowed for the detection of paternal uniparental disomy of chromosome 14 in a fetus with ultrasound abnormality.

conclusionsWith an indication of advanced maternal age but normal ultrasound scans, the prevalence of pathogenic CNVs was 0.4% and that of susceptibility CNV 0.7%. As CNVs are independent of maternal age, the prevalence is likely the same for younger women. Thus, this study provides further evidence that chromosomal microarray analysis should be available for all women who wish to receive diagnostic testing, as this risk is above the cut-off of 1:300 for Down syndrome, leading to the suggestion of invasive testing. A chromosomal microarray analysis based on SNP-array platform is preferable, as it can also detect uniparental disomy in addition to copy number variants.

Indexed as

Chromosome AberrationsDNA Copy Number VariationsMicroarray AnalysisPrenatal DiagnosisAdultCross-Sectional StudiesFemaleHumansPolymorphism, Single NucleotidePregnancyPrevalenceTrisomyabnormal ultrasound findingsabsence of heterozygositycopy number variantpathogenic CNVprenatal chromosomal microarray analysisvariants of uncertain significance

Identifiers

PMID32346853
PMCPMC7383919
OpenAlexW3018811407

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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.