Evidence map›Paper›PMID 38764094›Full record

ArticleMolecular cytogenetics2024

Analysis of copy number variants detected by sequencing in spontaneous abortion.

Anhui Liu, Liyuan Zhou, Yazhou Huang, Dan Peng

Abstract read
In one paragraph

Article in Molecular cytogenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

  1. Article
  2. Association between spontaneous abortion and chromosomal abnormalities of products of conception from spontaneous and ART-conceived pregnancies.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  3. Article
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.

Anhui Liu *Hengyang Medical School, University of South China, Hengyang, 421000, China.
Liyuan Zhou *Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, 410000, China.
Yazhou HuangDepartment of Medical Genetics, Xiangya School of Medicine, Changde Hospital, Central South University (The First People's Hospital of Changde city), Changde, 415000, China. hyz20202022@163.com.
Dan PengHengyang Medical School, University of South China, Hengyang, 421000, China. dasan0988@126.com.

Funding

Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control HPKL2023023Hunan Provincial Natural Science Foundation Of China 2024JJ7014Scientific Research Project of Hunan Provincial Health Commission D202301037694the science and technology innovation Program of Changde city 2023ZD65
6 · The paper itself

Abstract

backgroundThe incidence of spontaneous abortion (SA), which affects approximately 15-20% of pregnancies, is the most common complication of early pregnancy. Pathogenic copy number variations (CNVs) are recognized as potential genetic causes of SA. However, CNVs of variants of uncertain significance (VOUS) have been identified in products of conceptions (POCs), and their correlation with SA remains uncertain.

resultsOf 189 spontaneous abortion cases, trisomy 16 was the most common numerical chromosome abnormality, followed by monosomy X. CNVs most often occurred on chromosomes 4 and 8. Gene Ontology and signaling pathway analysis revealed significant enrichment of genes related to nervous system development, transmembrane transport, cell adhesion, and structural components of chromatin. Furthermore, genes within the VOUS CNVs were screened by integrating human placental expression profiles, PhyloP scores, and Residual Variance Intolerance Score (RVIS) percentiles to identify potential candidate genes associated with spontaneous abortion. Fourteen potential candidate genes (LZTR1, TSHZ1, AMIGO2, H1-4, H2BC4, H2AC7, H3C8, H4C3, H3C6, PHKG2, PRR14, RNF40, SRCAP, ZNF629) were identified. Variations in LZTR1, TSHZ1, and H4C3 may contribute to embryonic lethality.

conclusionsCNV sequencing (CNV-seq) analysis is an effective technique for detecting chromosomal abnormalities in POCs and identifying potential candidate genes for SA.

Indexed as

Candidate genesCopy number variationsLZTR1Spontaneous abortion

Identifiers

PMID38764094
PMCPMC11103966

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