Evidence map›Paper›PMID 38469100›Full record

ArticleMolecular genetics and metabolism reports2024

Importance and application of WES in fetal genetic diagnostics: Identification of novel

Renata Szalai, Agnes Till, Attila Gyenesei, Judit Bene, Kinga Hadzsiev

Open access · goldAbstract readCase Reports
In one paragraph

Article in Molecular genetics and metabolism reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 14% of its field
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 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
  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

5 authors at 1 institution in 1 country.

Renata SzalaiUniversity of Pecs, Medical School, Department of Medical Genetics, Pecs, Hungary.
Agnes TillUniversity of Pecs, Medical School, Department of Medical Genetics, Pecs, Hungary.
Attila GyeneseiSzentagothai Research Center, University of Pecs, Pecs, Hungary.
Judit BeneUniversity of Pecs, Medical School, Department of Medical Genetics, Pecs, Hungary.
Kinga HadzsievUniversity of Pecs, Medical School, Department of Medical Genetics, Pecs, Hungary.
University of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prenatal whole exome sequencing (WES) approaches can provide genetic diagnosis with rapid turnaround time and high diagnostic rate when conventional tests are negative. Here we report a family with multiple pregnancy loss and with repeated occurrence of fetal microcephaly. Methods and results: Because of positive family history and recurrent structural abnormality during the pregnancies that may lead postnatal neurodevelopmental consequences, WES analysis was indicated. Umbilical cord blood sampling was carried out and WES was performed using Twist Human Core Exome Kit and Illumina sequencing technology. The presence of pathogenic variants was confirmed by Sanger sequencing. WES analysis revealed a known pathogenic c.8506_8507delCA (p.Gln2836Glufs*35, rs587783280) and a novel pathogenic c.3134_3135delTC (p.Leu1045Glnfs*17) Conclusions: Our findings serve additional evidence that WES can be an efficient and relevant tool to diagnose certain genetic disorders with appropriate indication and to assess the recurrence risk of a disease. With the application of WES in combination with pre-implantation genetic tests, we can avoid the transmission of pathogenic mutations and we can achieve a decreased abortion rate in obstetric care.

Indexed as

ASPMMicrocephalyPrenatalWES

Identifiers

PMID38469100
PMCPMC10926227
OpenAlexW4390979446

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.