Evidence map›Paper›PMID 30732499›Full record

ArticleThe Journal of international medical research2019

Prevalence of chromosomal abnormalities identified by copy number variation sequencing in high-risk pregnancies, spontaneous abortions, and suspected genetic disorders.

Rui Zhang, Xiangbin Chen, Dong Wang, Xuan Chen, Chao Wang, Yuhong Zhang, Mengnan Xu, Jingcui Yu

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Rui Zhang1 Prenatal Diagnosis Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xiangbin Chen3 Berry Genomics, Beijing, China.
Dong Wang2 Scientific Research Centre, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xuan Chen4 Department of Obstetrics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Chao Wang1 Prenatal Diagnosis Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yuhong Zhang1 Prenatal Diagnosis Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Mengnan Xu3 Berry Genomics, Beijing, China.
Jingcui Yu2 Scientific Research Centre, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0001-5182-987X
Harbin Medical University · CNBerry Oncology (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHigh-throughput sequencing based on copy number variation (CNV-seq) is commonly used to detect chromosomal abnormalities including aneuploidy. This study provides evidence for the prevalence of chromosomal abnormalities in target populations.

methodsA total of 160 samples, including 83 high-risk pregnancies, 37 spontaneous abortions, and 40 suspected genetic disorders, were analyzed by CNV-seq. Relationships between the incidence of these chromosomal abnormalities and risk factors (e.g. advanced maternal age, abnormal pregnancy history, and family history of congenital disease) were further analyzed by subgroup.

resultsA total of 37 (44.6%) high-risk pregnancies, 25 (67.6%) spontaneous abortions, and 22 (55%) suspected genetic disorders had chromosomal abnormalities including aneuploidy and CNVs. There was an increased risk association between the prevalence of aneuploidy and pathogenic-relevant CNV in the fetus or abortive tissue and advanced maternal age. Moreover, a family history of congenital disease was also positively correlated with fetal chromosomal abnormalities in high-risk pregnancies.

conclusionA relatively high prevalence of chromosomal abnormalities was detected in high-risk pregnancies, spontaneous abortions, and suspected genetic disorders, indicating the importance of CNV detection in such populations.

Indexed as

Chromosome AberrationsDNA Copy Number VariationsAbortion, SpontaneousAdolescentAdultChinaFemaleFollow-Up StudiesGenetic Diseases, InbornHigh-Throughput Nucleotide SequencingHumansKaryotypingPregnancyPregnancy, High-RiskPrevalencePrognosisaneuploidyChromosomal abnormalitiesCNV-seqhigh risk pregnanciesspontaneous abortionssuspected genetic disorders

Identifiers

PMID30732499
PMCPMC6421393
OpenAlexW2914893264

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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.