Evidence map›Paper›PMID 38666931›Full record

ArticleCurrent issues in molecular biology2024

Prenatal Diagnosis by Trio Clinical Exome Sequencing: Single Center Experience.

Katia Margiotti, Marco Fabiani, Antonella Cima, Francesco Libotte, Alvaro Mesoraca, Claudio Giorlandino

Abstract read
In one paragraph

Article in Current issues in molecular biology, 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

6 authors.

Katia MargiottiHuman Genetics Lab, Altamedica Main Centre, Viale Liegi 45, 00198 Rome, Italy.ORCID 0000-0003-0432-1525
Marco FabianiHuman Genetics Lab, Altamedica Main Centre, Viale Liegi 45, 00198 Rome, Italy.ORCID 0000-0002-8763-0114
Antonella CimaHuman Genetics Lab, Altamedica Main Centre, Viale Liegi 45, 00198 Rome, Italy.
Francesco LibotteHuman Genetics Lab, Altamedica Main Centre, Viale Liegi 45, 00198 Rome, Italy.
Alvaro MesoracaHuman Genetics Lab, Altamedica Main Centre, Viale Liegi 45, 00198 Rome, Italy.
Claudio GiorlandinoHuman Genetics Lab, Altamedica Main Centre, Viale Liegi 45, 00198 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal anomalies, characterized by structural or functional abnormalities occurring during intrauterine life, pose a significant medical challenge, with a notable prevalence, affecting approximately 2-3% of live births and 20% of spontaneous miscarriages. This study aims to identify the genetic cause of ultrasound anomalies through clinical exome sequencing (CES) analysis. The focus is on utilizing CES analysis in a trio setting, involving the fetuses and both parents. To achieve this objective, prenatal trio clinical exome sequencing was conducted in 51 fetuseses exhibiting ultrasound anomalies with previously negative results from chromosomal microarray (CMA) analysis. The study revealed pathogenic variants in 24% of the analyzed cases (12 out of 51). It is worth noting that the findings include de novo variants in 50% of cases and the transmission of causative variants from asymptomatic parents in 50% of cases. Trio clinical exome sequencing stands out as a crucial tool in advancing prenatal diagnostics, surpassing the effectiveness of relying solely on chromosomal microarray analysis. This underscores its potential to become a routine diagnostic standard in prenatal care, particularly for cases involving ultrasound anomalies.

Indexed as

chromosomal microarray analysisclinical exome sequencingfetal anomaliesprenatal diagnosis

Identifiers

PMID38666931
PMCPMC11048976

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Registered trials

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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.