Evidence map›Paper›PMID 40070857›Full record

ArticleBalkan journal of medical genetics : BJMG2024

Delineation of Partial Chromosomal Abnormalities in Early Pregnancy Losses.

Gj Bozhinovski, M Terzikj, K Kubelka-Sabit, D Plaseska-Karanfilska

Abstract read
In one paragraph

Article in Balkan journal of medical genetics : BJMG, 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

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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

Who cites it

3 citing papers in PubMed.

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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

4 authors.

Gj BozhinovskiResearch Center for Genetic Engineering and Biotechnology "Georgi D. Efremov", Macedonian Academy of Sciences and Arts, Skopje, North Macedonia, Skopje, North Macedonia.
M TerzikjResearch Center for Genetic Engineering and Biotechnology "Georgi D. Efremov", Macedonian Academy of Sciences and Arts, Skopje, North Macedonia, Skopje, North Macedonia.
K Kubelka-SabitClinical Hospital "Acibadem Sistina", Skopje, North Macedonia.
D Plaseska-KaranfilskaResearch Center for Genetic Engineering and Biotechnology "Georgi D. Efremov", Macedonian Academy of Sciences and Arts, Skopje, North Macedonia, Skopje, North Macedonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy loss (PL), particularly early pregnancy loss (EPL), is a prevalent reproductive complication, with approximately 15% of confirmed pregnancies affected. Chromosomal abnormalities are implicated in more than half of EPLs, with trisomies being the most prevalent. Partial abnormalities, including segmental deletions, duplications, and unbalanced translocations, are detected in up to 10% of EPL cases. This study focuses on the precise characterization of partial chromosomal abnormalities, previously identified by Quantitative fluorescent polymerase chain reaction (QF-PCR) and multiplex ligation probe amplification (MLPA) analyses. By employing an array comparative genomic hybridization (aCGH), we analyzed 20 EPL samples, identifying 32 partial chromosomal abnormalities, including 18 deletions and 14 duplications, with an average size of 33.2 Mb. Notably, two abnormalities previously undetected by QF-PCR and MLPA were revealed (deletions in 7q36, and 1p36.32p36.31regions), emphasizing the necessity of high-resolution genomic tools. Chromosomes 1, 18, and 13 emerged as frequently involved, aligning with previous associations with recurrent pregnancy loss. Recurrent abnormalities were identified in six chromosomal regions, with chromosome 1p36.33-p36.32 exhibiting the highest frequency. Gene Ontology (GO) enrichment analysis of recurrent regions highlighted disruptions in critical biological processes, including molecular binding, enzymatic activity, and cellular development. Many genes in these regions are linked to multisystem syndromes, suggesting their involvement in early embryonic development and pregnancy viability. Our findings underscore the complexity of EPL's genetic landscape, demonstrating that large CNVs, may disrupt multiple genes critical for development. Although, subtelo-meric MLPA reliably detects telomeric partial chromosomal abnormalities in EPLs, aCGH is essential for detection and precise characterization of all CNVs, thus enhancing diagnostic and counseling strategies in affected couples.

Indexed as

aCGHearly pregnancy lossEPLsPartial fetal chromosomal abnormalities

Identifiers

PMID40070857
PMCPMC11892934

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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.