Evidence map›Paper›PMID 40070862›Full record

ArticleBalkan journal of medical genetics : BJMG2024

Value of Optical Genome Mapping (OGM) for Diagnostics of Rare Diseases: A Family Case Report.

A Kovanda, O Miljanović, L Lovrečić, A Maver, A Hodžić, B Peterlin

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In one paragraph

Article in Balkan journal of medical genetics : BJMG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

A KovandaClinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
O MiljanovićCenter for Medical Genetic and Immunology, Clinical Center of Montenegro, Podgorica, Montenegro.
L LovrečićClinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
A MaverClinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
A HodžićClinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
B PeterlinClinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical genome mapping (OGM) is a novel method enabling the detection of structural genomic variants. The method is based on the laser image acquisition of single, labeled, high-molecular-weight DNA molecules and can detect structural genomic variants such as translocations, inversions, insertions, deletions, duplications, and complex structural rearrangements. We aim to present our experience with OGM at the Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Slovenia. Since its introduction in 2021, we have used OGM for the testing of facioscapulohumeral muscular dystrophy 1, characterization and resolution of variants identified by other technologies such as microarrays, exome and genome next-generation sequencing, karyotyping, as well as testing of rare disease patients in whom no genetic cause could be identified using these methods. We present an example family case of two previously undiagnosed male siblings with an overlapping clinical presentation of thrombocytopenia, obesity, and presacral teratoma. After karyotyping, microarray analysis and next-generation sequencing, by using OGM, a maternally inherited cryptic translocation t(X;18)(q27.1;q12.2) was identified in both brothers. Despite an extended segregation analysis, based on strictly applied ACMG criteria and ClinGen guidelines, the identified translocation remains a variant of unknown significance. Despite the remaining limitations of OGM, which will hopefully be resolved by improvements in databases of known benign SV variation and the establishment of official guidelines on the clinical interpretation of OGM variants, our work highlights the complexity of the diagnostic journey, including this novel method, in rare disease cases.

Indexed as

genomic variantsOGMOptical genome mappingrare disease genetic testingstructural variants (SV)

Identifiers

PMID40070862
PMCPMC11892940

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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.