Evidence map›Paper›PMID 36450799›Full record

ArticleEuropean journal of human genetics : EJHG2023

A second look at exome sequencing data: detecting mobile elements insertion in a rare disease cohort.

Philippine Garret, Martin Chevarin, Antonio Vitobello, Simon Verdez, Cyril Fournier, Alain Verloes, Emilie Tisserant, Pierre Vabres, Orlane Prevel, Christophe Philippe and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 2023 in the European Journal of Human Genetics.European journal of human genetics : EJHG · 2024
    Article
  6. Article
  7. 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

20 authors at 3 institutions in 1 country.

Philippine GarretUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France. philippine.garret@orange.fr.ORCID http://orcid.org/0000-0003-2551-3606
Martin ChevarinUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.ORCID http://orcid.org/0000-0002-5010-4161
Antonio VitobelloUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.ORCID http://orcid.org/0000-0003-3717-8374
Simon VerdezUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.ORCID http://orcid.org/0000-0001-5090-4065
Cyril FournierUMR 1231, Faculty of Medicine, University of Burgundy-iSITE-INSERM, Dijon, France.ORCID http://orcid.org/0000-0002-3635-9504
Alain VerloesINSERM UMR1141, Université de Paris, Paris, France.ORCID http://orcid.org/0000-0003-4819-0264
Emilie TisserantUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.
Pierre VabresUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.
Orlane PrevelUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.
Christophe PhilippeUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.ORCID http://orcid.org/0000-0001-7098-6520
Anne-Sophie Denommé-PichonUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.ORCID http://orcid.org/0000-0002-8986-8222
Ange-Line BruelUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.ORCID http://orcid.org/0000-0002-0526-465X
Frédéric Tran Mau-ThemUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.ORCID http://orcid.org/0000-0002-3795-9456
Hana SafraouUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.
Aïcha BoughalemLaboratoire, CERBA, Saint-Ouen l'Aumône, France.
Jean-Marc CostaLaboratoire, CERBA, Saint-Ouen l'Aumône, France.
Detlef TrostLaboratoire, CERBA, Saint-Ouen l'Aumône, France.
Christel Thauvin-RobinetUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.ORCID http://orcid.org/0000-0002-4155-139X
Laurence FaivreUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.
Yannis DuffourdUMR1231 GAD, Inserm-Université Bourgogne-Franche Comté, Dijon, France.
Inserm · FRVirbac (France) · FRSaint-Gobain (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About 0.3% of all variants are due to de novo mobile element insertions (MEIs). The massive development of next-generation sequencing has made it possible to identify MEIs on a large scale. We analyzed exome sequencing (ES) data from 3232 individuals (2410 probands) with developmental and/or neurological abnormalities, with MELT, a tool designed to identify MEIs. The results were filtered by frequency, impacted region and gene function. Following phenotype comparison, two candidates were identified in two unrelated probands. The first mobile element (ME) was found in a patient referred for poikilodermia. A homozygous insertion was identified in the FERMT1 gene involved in Kindler syndrome. RNA study confirmed its pathological impact on splicing. The second ME was a de novo Alu insertion in the GRIN2B gene involved in intellectual disability, and detected in a patient with a developmental disorder. The frequency of de novo exonic MEIs in our study is concordant with previous studies on ES data. This project, which aimed to identify pathological MEIs in the coding sequence of genes, confirms that including detection of MEs in the ES pipeline can increase the diagnostic rate. This work provides additional evidence that ES could be used alone as a diagnostic exam.

Indexed as

Intellectual DisabilityRare DiseasesExomeExome SequencingExonsHumansMembrane ProteinsNeoplasm ProteinsFERMT1 protein, humanMembrane ProteinsNeoplasm Proteins

Identifiers

PMID36450799
PMCPMC10326243
OpenAlexW4310566604

What OpenQuestion holds

Textmetadata
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.