Evidence map›Paper›PMID 41014177›Full record

ArticleClinical genetics2026

High Concordance of Copy Number Variants Detected by Chromosomal Microarray and Exome Sequencing in Clinical Diagnostics.

Rivka Birnbaum, Maya Slovik, Shamir Zenvirt, Ilana Livyatan, Israel Altman, Shiri Gershon, Jonathan Rips, Hagit Daum, Chaggai Rosenbluh, Orly Elpeleg and 4 more

Abstract read
In one paragraph

Article in Clinical genetics, 2026. 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
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Review
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

14 authors.

Rivka BirnbaumDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Maya SlovikDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Shamir ZenvirtDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Ilana LivyatanDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Israel AltmanDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Shiri GershonDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Jonathan RipsDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.ORCID 0000-0002-9237-8929
Hagit DaumDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.ORCID 0000-0002-8318-3599
Chaggai RosenbluhDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Orly ElpelegDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Vardiella MeinerDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Ayala FrumkinDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.
Hagar Mor-ShakedDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.ORCID 0000-0001-6631-0376
Tamar HarelDepartment of Genetics, Hadassah Medical Center, Jerusalem, Israel.ORCID 0000-0003-3595-7075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exome sequencing (ES), originally developed to detect single nucleotide variants (SNVs), has been increasingly leveraged to detect copy number variants (CNVs) through read-depth analysis, enhancing diagnostic yield with minimal computational overhead. However, chromosomal microarray (CMA) testing remains widely used. To evaluate the utility of ES as a first-tier clinical diagnostic test, we compared the sensitivity of CNV detection by ES to that of CMA in individuals who underwent both tests, and developed triploidy screening based on ES data. ES identified most clinically relevant CNVs, with a 98.91% concordance for regions adequately captured. A retrospective analysis of CNVs detected from ES over a ~3-year period, comprising 1563 prenatal and 4884 postnatal cases, revealed CNVs in 3.8% of prenatal and 4.4% of postnatal samples. The relatively low percentage stems from the fact that most cases underwent CMA before ES. Pathogenic or likely pathogenic variants constituted 78.7% and 78.0% of these subgroups, with the remainder classified as variants of unknown significance. We highlight clinically relevant examples of CNVs across a range of sizes, including cases involving both CNVs and SNVs. The high consanguinity rate of the cohort allowed for systematic analysis of homozygous CNVs. Additionally, we demonstrate that ES can capture other diagnostic utilities traditionally associated with CMA, specifically uniparental disomy (UPD) and triploidy. Overall, our findings support ES as a robust, cost-effective alternative to CMA and advocate for its broader use as a first-tier diagnostic test for neurodevelopmental delay and congenital malformations, particularly until whole genome sequencing becomes more accessible and affordable.

Indexed as

DNA Copy Number VariationsExome SequencingMicroarray AnalysisOligonucleotide Array Sequence AnalysisExomeFemaleGenetic TestingHumansMalePolymorphism, Single NucleotidePrenatal DiagnosisRetrospective Studieschromosomal microarraycopy number variantsdiagnostic yieldexome sequencingpostnatalprenatal

Identifiers

PMID41014177
PMCPMC12881219

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.