Prenatal diagnosis and genetic assessment of fetuses with single umbilical artery using chromosomal microarray analysis: a seven-year single-center retrospective study

CMA markedly improved the identification of clinically relevant genetic alterations in fetuses presenting with a single umbilical artery, especially when the anomaly occurred in isolation. These findings highlight the value of CMA for uncovering the genetic contributors to SUA and advance the characterization of genotype-phenotype relationships in these cases.

Authors

Institutions

Publication Details

Journal
BMC Pregnancy and Childbirth
Published
2025-07-19
DOI
https://doi.org/10.1186/s12884-025-07886-5
Citations
1
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
3.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prenatal diagnosis and genetic assessment of fetuses with single umbilical artery using chromosomal microarray analysis: a seven-year single-center retrospective study

Chunnuan Chen, Jia‐Ling Wu, Xiaofang Ye, Yue Chen et al.
1 citations
BMC Pregnancy and Childbirth
Prenatal Screening and Diagnostics
3.49
article

Prenatal diagnosis and genetic assessment of fetuses with single umbilical artery using chromosomal microarray analysis: a seven-year single-center retrospective study

Chunnuan Chen, Jia‐Ling Wu, Xiaofang Ye, Yue Chen, Jianlong Zhuang, Nan Huang
article en
1 citations

Abstract

CMA markedly improved the identification of clinically relevant genetic alterations in fetuses presenting with a single umbilical artery, especially when the anomaly occurred in isolation. These findings highlight the value of CMA for uncovering the genetic contributors to SUA and advance the characterization of genotype-phenotype relationships in these cases.

BMC Pregnancy and ChildbirthVol. 25(1)
Fujian Medical University (CN), Quanzhou Normal University (CN), Fujian Women and Children Hospital (CN), Quzhou City People's Hospital (CN), Second Affiliated Hospital of Fujian Medical University (CN)
Natural Science Foundation of Fujian Province, Huaqiao University, Science and Technology Bureau of Quanzhou
Good health and well-being
Openalex Percentile: Top 8%
Prenatal Screening and Diagnostics
3.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.