Evidence map›Paper›PMID 33132082›Full record

ArticleThe Journal of molecular diagnostics : JMD2020

Detection of Copy Number Variants by Short Multiply Aggregated Sequence Homologies.

Vaidehi Jobanputra, Peter Andrews, Vanessa Felice, Avinash Abhyankar, Lukasz Kozon, Dino Robinson, Ferrah London, Inessa Hakker, Kazimierz Wrzeszczynski, Michael Ronemus

Open access · greenAbstract readValidation Study
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 87% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Vaidehi JobanputraNew York Genome Center, New York, New York; Department of Pathology and Cell Biology, Columbia University Medical Center, New York, New York. Electronic address: vjobanputra@nygenome.org.
Peter AndrewsCold Spring Harbor Laboratory, Cold Spring Harbor, New York.
Vanessa FeliceNew York Genome Center, New York, New York.
Avinash AbhyankarNew York Genome Center, New York, New York.
Lukasz KozonNew York Genome Center, New York, New York.
Dino RobinsonNew York Genome Center, New York, New York.
Ferrah LondonNew York Genome Center, New York, New York.
Inessa HakkerCold Spring Harbor Laboratory, Cold Spring Harbor, New York.
Kazimierz WrzeszczynskiNew York Genome Center, New York, New York.
Michael RonemusCold Spring Harbor Laboratory, Cold Spring Harbor, New York. Electronic address: ronemus@cshl.edu.
New York Genome Center · USCold Spring Harbor Laboratory · USColumbia University Irving Medical Center · US

Funding

Establishing a Long Island Bioscience HubU01HL127522 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI RUBIN, CLINTON T · 2015 to 2017
$3.0M
NHLBI NIH HHS U01 HL127522
6 · The paper itself

Abstract

Chromosomal microarray testing is indicated for patients with diagnoses including unexplained developmental delay or intellectual disability, autism spectrum disorders, and multiple congenital anomalies. The short multiply aggregated sequence homologies (SMASH) genomic assay is a novel next-generation sequencing technology that performs copy number analysis at resolution similar to high-coverage whole genome sequencing but requires far less capacity. We benchmarked the performance of SMASH on a panel of genomic DNAs containing known copy number variants (CNVs). SMASH was able to detect pathogenic copy number variants of ≥10 kb in 77 of 77 samples. No pathogenic events were seen in 32 of 32 controls, indicating 100% sensitivity and specificity for detecting pathogenic CNVs >10 kb. Repeatability (interassay precision) and reproducibility (intra-assay precision) were assessed with 13 samples and showed perfect concordance. We also established that SMASH had a limit of detection of 20% for detection of large mosaic CNVs. Finally, we analyzed seven blinded specimens by SMASH analysis and successfully identified all pathogenic events. These results establish the efficacy of the SMASH genomic assay as a clinical test for the detection of pathogenic copy number variants at a resolution comparable to chromosomal microarray analysis.

Indexed as

DNA Copy Number VariationsSequence HomologyAbnormalities, MultipleAutism Spectrum DisorderDevelopmental DisabilitiesGenetic TestingGenome, HumanHigh-Throughput Nucleotide SequencingHumansIntellectual DisabilityLimit of DetectionMicroarray AnalysisReproducibility of ResultsSensitivity and SpecificitySequence Analysis, DNAWhole Genome Sequencing

Identifiers

PMID33132082
PMCPMC7722526
OpenAlexW3094570486

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.