Evidence map›Paper›PMID 39346101›Full record

ArticleGenetics in medicine open2023

Detection of mosaic chromosomal alterations in children with severe developmental disorders recruited to the DDD study.

Ruth Y Eberhardt, Caroline F Wright, David R FitzPatrick, Matthew E Hurles, Helen V Firth

Abstract read
In one paragraph

Article in Genetics in medicine open, 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ruth Y EberhardtWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, Hinxton, United Kingdom.
Caroline F WrightUniversity of Exeter Medical School, Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, Exeter, United Kingdom.
David R FitzPatrickMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom.
Matthew E HurlesWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, Hinxton, United Kingdom.
Helen V FirthWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, Hinxton, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Purpose: Structural mosaicism has been previously implicated in developmental disorders. We aimed to identify rare mosaic chromosomal alterations (MCAs) in probands with severe undiagnosed developmental disorders. Methods: We identified MCAs in genotyping array data from 12,530 probands in the Deciphering Developmental Disorders study using mosaic chromosome alterations caller (MoChA). Results: We found 61 MCAs in 57 probands, many of these were tissue specific. In 23 of 26 (88.5%) cases for which the MCA was detected in saliva in which blood was also available for analysis, the MCA could not be detected in blood. The MCAs included 20 polysomies, comprising either 1 arm of a chromosome or a whole chromosome, for which we were able to show the timing of the error (25% mitosis, 40% meiosis I, and 35% meiosis II). Only 2 of 57 (3.5%) of the probands in whom we found MCAs had another likely genetic diagnosis identified by exome sequencing, despite an overall diagnostic yield of ∼40% across the cohort. Conclusion: Our results show that identification of MCAs provides candidate diagnoses for previously undiagnosed patients with developmental disorders, potentially explaining ∼0.45% of cases in the Deciphering Developmental Disorders study. Nearly 90% of these MCAs would have remained undetected by analyzing DNA from blood and no other tissue.

Indexed as

AnueploidyChromosomal alterationsDevelopmental disordersMosaicUniparental disomy

Identifiers

PMID39346101
PMCPMC11436381

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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.