Evidence map›Paper›PMID 31857824›Full record

ArticleMolecular cytogenetics2019

A prenatal diagnosis and genetics study of five pedigrees in the Chinese population with Xp22.31 microduplication.

Jianlong Zhuang, Yuanbai Wang, Shuhong Zeng, Chunling Lv, Yiming Lin, Yuying Jiang

Open access · goldAbstract read
In one paragraph

Article in Molecular cytogenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

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

18 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

6 authors at 2 institutions in 1 country.

Jianlong ZhuangPrenatal Diagnosis Center, Quanzhou Women's and Children's Hospital, Fujian Province, People's Republic of China.
Yuanbai WangPrenatal Diagnosis Center, Quanzhou Women's and Children's Hospital, Fujian Province, People's Republic of China.
Shuhong ZengPrenatal Diagnosis Center, Quanzhou Women's and Children's Hospital, Fujian Province, People's Republic of China.
Chunling LvZhejiang Biosan technology Co., Ltd, Zhejiang, People's Republic of China.
Yiming LinNeonatal Disease Screening Center of Quanzhou, Quanzhou Women's and Children's Hospital, Fujian Province, People's Republic of China.
Yuying JiangPrenatal Diagnosis Center, Quanzhou Women's and Children's Hospital, Fujian Province, People's Republic of China.ORCID 0000-0003-0427-1935
Fujian Women and Children Hospital · CNZhejiang Medicine (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCopy number variations (CNVs) can contribute to human phenotype, phenotypic diversity and disease susceptibility, while others may benign. In the current study, an attempt to investigate the pathogenicity of CNVs in chromosome Xp22.31 was explored.

methodsG-banding and SNP-array techniques were used to analyze chromosome karyotypes and CNVs in fetuses. Parents associate with five different pedigrees possessing high risk factors in pregnancy were considered with such parameters as advanced age, high risk of serological screening and ultrasound abnormalities.

resultsThe fetuses' amniotic fluid karyotypes were 46, XX and those of their parents with the five pedigrees revealed no abnormalities. Here, we noticed a series of individuals with Xp22.31 duplications ranging from 534.6 kb to 1.6 Mb. It was detected through SNP array that the fetuses in Pedigree 1 and 2 had ~ 600 kb duplications in the Xp22.31 region of their X chromosomes which contained two OMIM genes,

conclusionOur study first showed duplications of Xp22.31 in Chinese population. Clinical and genetic investigation on five different pedigrees, we consider the duplication of these fragments as likely benign copy number variants (CNVs). We suggest that the duplications of Xp22.31 with recurrent duplication as a benign CNVs .

Indexed as

MicroduplicationPolymorphism, single nucleotidePrenatal diagnosisXp22.31

Identifiers

PMID31857824
PMCPMC6907354
OpenAlexW2996373088

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LicenceCC BY
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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.