Evidence map›Paper›PMID 36454368›Full record

ArticleGenes & genomics2023

Pitfalls of whole exome sequencing in undefined clinical conditions with a suspected genetic etiology.

Giada Moresco, Ornella Rondinone, Alessia Mauri, Jole Costanza, Carlo Santaniello, Patrizia Colapietro, Emanuele Micaglio, Giovanni Marfia, Chiara Pesenti, Federico Grilli and 8 more

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Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

18 authors.

Giada Moresco *Research Laboratories Coordination Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Ornella Rondinone *Medical Genetics Unit, Department of Health Sciences, Università Degli Studi Di Milano, Milan, Italy.
Alessia MauriResearch Laboratories Coordination Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Jole CostanzaResearch Laboratories Coordination Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Carlo SantanielloResearch Laboratories Coordination Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Patrizia ColapietroDepartment of Pathophysiology and Transplantation, Università Degli Studi Di Milano, Milan, Italy.
Emanuele MicaglioDepartment of Arrhythmia and Electrophysiology, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Giovanni MarfiaNeurosurgery Unit, Laboratory of Experimental Neurosurgery and Cell Therapy, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Chiara PesentiMedical Genetics Unit, ASST Santi Paolo E Carlo, Milan, Italy.
Federico GrilliHighly Intensive Pediatric Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Berardo RinaldiHighly Intensive Pediatric Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Elisabetta PradaHighly Intensive Pediatric Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Giulietta ScuveraMedical Genetics Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Roberta VillaMedical Genetics Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Maria Francesca BedeschiMedical Genetics Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Monica Rosa MiozzoMedical Genetics Unit, Department of Health Sciences, Università Degli Studi Di Milano, Milan, Italy. monica.miozzo@unimi.it.ORCID http://orcid.org/0000-0002-6523-4575
Donatella MilaniHighly Intensive Pediatric Care Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Laura FontanaMedical Genetics Unit, Department of Health Sciences, Università Degli Studi Di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole-Exome Sequencing (WES) is a valuable tool for the molecular diagnosis of patients with a suspected genetic condition. In complex and heterogeneous diseases, the interpretation of WES variants is more challenging given the absence of diagnostic handles and other reported cases with overlapping clinical presentations.

objectiveTo describe candidate variants emerging from trio-WES and possibly associated with the clinical phenotype in clinically heterogeneous conditions.

methodsWe performed WES in ten patients from eight families, selected because of the lack of a clear clinical diagnosis or suspicion, the presence of multiple clinical signs, and the negative results of traditional genetic tests.

resultsAlthough we identified ten candidate variants, reaching the diagnosis of these cases is challenging, given the complexity and the rarity of these syndromes and because affected genes are already associated with known genetic diseases only partially recapitulating patients' phenotypes. However, the identification of these variants could shed light into the definition of new genotype-phenotype correlations. Here, we describe the clinical and molecular data of these cases with the aim of favoring the match with other similar cases and, hopefully, confirm our diagnostic hypotheses.

conclusionThis study emphasizes the major limitations associated with WES data interpretation, but also highlights its clinical utility in unraveling novel genotype-phenotype correlations in complex and heterogeneous undefined clinical conditions with a suspected genetic etiology.

Indexed as

Genetic TestingExome SequencingGenetic Association StudiesPhenotypeData sharingHeterogeneous clinical presentationRare diseasesUndefined clinical conditionsWES

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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.