Evidence map›Paper›PMID 41657556›Full record

ArticleFrontiers in medicine2025

Maternal mixed UPD3 and a homozygous PLXNA1 c.2497G>C variant in a fetus with severe anomalies.

Yanchou Ye, Xiaonan Wang, Yunxia He, Haofeng Ning, Zhechao Zhang, Fangchao Tao, Zhangxiang Zou, Qun Fang, Zheng Chen, Xiaohui Tian and 1 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yanchou Ye *Prenatal Diagnostic Center, Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xiaonan Wang *Prenatal Diagnostic Center, Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yunxia HeDepartment of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Haofeng NingPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Zhechao ZhangDepartment of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Fangchao TaoPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Zhangxiang ZouPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Qun FangPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Zheng ChenPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xiaohui TianDepartment of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Xiulan HaoPrenatal Diagnostic Center, Department of Obstetrics and Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-invasive prenatal testing (NIPT) is widely used for screening common fetal aneuploidies such as trisomy 21 (T21), trisomy 18 (T18), and trisomy 13 (T13). However, its utility in detecting trisomy 3 (T3) has been rarely reported. Furthermore, uniparental disomy (UPD) involving chromosome 3 is a rare genetic condition with potential phenotypic consequences. Methods: NIPT indicated a high risk for fetal T3. This finding was further investigated using copy number variation (CNV) analysis via trio-based chromosomal microarray analysis (trio-CMA). Subsequent trio-based whole-genome sequencing (trio-WGS) identified a homozygous variant in PLXNA1 associated with a putative autosomal recessive disorder in the fetus. The detected variant was validated by Sanger sequencing in the parents. Results: NIPT revealed a fetal Conclusions: While NIPT can signal a high risk for rare aneuploidies, definitive diagnosis requires invasive prenatal testing. Discrepancies between NIPT and fetal tissue analyses may arise from confined placental mosaicism (CPM). We propose a model in which nondisjunction of chromosome 3 during germ cell formation led to trisomy, followed by a postzygotic self-correction event, resulting in mixed maternal UPD3 and increased risk of autosomal recessive disorders.

Indexed as

mixed UPD3NIPTPLXNA1trio-CMAtrio-WGS

Identifiers

PMID41657556
PMCPMC12876207

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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.