Evidence map›Paper›PMID 35079943›Full record

ArticleJournal of assisted reproduction and genetics2022

Application of array comparative genomic hybridization (aCGH) for identification of chromosomal aberrations in the recurrent pregnancy loss.

Katarzyna Kowalczyk, Marta Smyk, Magdalena Bartnik-Głaska, Izabela Plaskota, Barbara Wiśniowiecka-Kowalnik, Joanna Bernaciak, Marta Chojnacka, Magdalena Paczkowska, Magdalena Niemiec, Daria Dutkiewicz and 9 more

Abstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

11 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

19 authors.

Katarzyna KowalczykDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland. katarzyna.kowalczyk@imid.med.pl.ORCID http://orcid.org/0000-0002-9867-063X
Marta SmykDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Magdalena Bartnik-GłaskaDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Izabela PlaskotaDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Barbara Wiśniowiecka-KowalnikDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Joanna BernaciakDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Marta ChojnackaDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Magdalena PaczkowskaDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Magdalena NiemiecDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Daria DutkiewiczDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Agata KozarDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Róża MagdziakDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Wojciech KrawczykDepartment of Obstetrics and Perinatology, Medical University of Lublin, Lublin, Poland.
Grzegorz PietrasDepartment of Obstetrics and Perinatology, Medical University of Lublin, Lublin, Poland.
Elżbieta MichalakDeparment of Pathomorphology, Institute of Mother and Child, Warsaw, Poland.
Teresa KlepackaDeparment of Pathomorphology, Institute of Mother and Child, Warsaw, Poland.
Ewa ObersztynDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Jerzy BalDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.
Beata Anna NowakowskaDepartment of Medical Genetics, Institute of Mother and Child, Warsaw, Poland.

Funding

Narodowe Centrum Nauki 2016/23/N/NZ2/02364
6 · The paper itself

Abstract

Spontaneous abortion occurs in 8-20% of recognized pregnancies and usually takes place in the first trimester (7-11 weeks). There are many causes of pregnancy loss, but the most important (about 75%) is the presence of chromosomal aberrations. We present the results of oligonucleotide array application in a cohort of 62 miscarriage cases. The inclusion criteria for the study were the loss after 8th week of pregnancy and the appearance of recurrent miscarriages. DNA was extracted from trophoblast or fetal skin fibroblasts. In the 62 tested materials from recurrent miscarriages, the detection rate was 56.5% (35/62). The most commonly found were aneuploidies (65%) (chromosomal trisomy 14, 16, 18, 21, and 22), Turner syndrome, and triploidy (17.1%). Other chromosomal abnormalities included pathogenic and likely pathogenic structural aberrations: 1) pathogenic: deletion 7p22.3p12.3 and duplication 9p24.3p13.2 inherited from the normal father, deletion 3q13.31q22.2 and deletion 3q22.3q23 of unknown inheritance and duplication of 17p12 inherited from father with foot malformation; 2) likely pathogenic variants: deletion 17p13.1 inherited from normal mother, deletion 5q14.3 of unknown inheritance and de novo deletion 1q21.1q21.2. Among these aberrations, six CNVs (copy number variants) were responsible for the miscarriage: deletion 7p22.3p12.3 and duplication 9p24.3p13.2, deletion 3q13.31q22.2 and deletion 3q22.3q23, and deletion 17p13.1 and deletion 1q21.1q21.2. Other two findings were classified as incidental findings (deletion 5q14.3 and 17p12 duplication). Our research shows that 17% of the aberrations (6/35 abnormal results) that cannot be identified by the routine kariotype analysis are structural aberrations containing genes important for fetal development, the mutations of which may cause spontaneous abortion.

Indexed as

Abortion, HabitualChromosome AberrationsComparative Genomic HybridizationDNA Copy Number VariationsFemaleHumansPregnancyTrisomyChromosomal aberrationsMicroarraySpontaneous abortion

Identifiers

PMID35079943
PMCPMC8956756

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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.