Evidence map›Paper›PMID 32779332›Full record

ArticleAmerican journal of medical genetics. Part A2020

Parallel detection of single nucleotide variants and copy number variants with exome analysis: Validation in a cohort of 700 undiagnosed patients.

Hisato Suzuki, Mamiko Yamada, Tomoko Uehara, Toshiki Takenouchi, Kenjiro Kosaki

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in American journal of medical genetics. Part A, 2020. 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
2.2field-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, 15 citations in OpenAlex.

  1. Article
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  5. Review
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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

5 authors at 1 institution in 1 country.

Hisato SuzukiCenter for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8122-7180
Mamiko YamadaCenter for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4039-8899
Tomoko UeharaCenter for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1497-7686
Toshiki TakenouchiDepartment of Pediatrics, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7311-4135
Kenjiro KosakiCenter for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6798-8151
Keio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copy number variants (CNVs) are significant causes of rare and undiagnosed diseases. Parallel detection of single nucleotide variants (SNVs) and CNVs with exome analysis, if feasible, would shorten the diagnostic closure in a timely manner. We validated such "parallel" approach through a cohort study of 791 undiagnosed patients. In addition to routine exome analysis, we applied an innovative algorithm EXCAVATOR2 which enhances sensitivity by paradoxically exploiting read depth data that covers nonexonic regions where baits were not originally intended to hybridize. About 48 patients had copy number variations, 42 deletions, and 6 duplications with a resolution of 0.51-14.7 mega base pairs. Importantly from a clinical standpoint, we identified three patients with "dual diagnosis" due to concurrent pathogenic CNV and SNV. We suggest "hitting two birds with one stone" approach to exome data is an efficient strategy in deciphering undiagnosed patients and may well be considered as a first-tier genetic test.

Indexed as

DNA Copy Number VariationsExomeExome SequencingPolymorphism, Single NucleotideAlgorithmsChromosomesGene DeletionGenetic TestingHigh-Throughput Nucleotide SequencingHumansOligonucleotide Array Sequence AnalysisReproducibility of ResultsROC CurveSensitivity and Specificitychromosomal microarraycopy number variantsexome sequencingundiagnosed diseases

Identifiers

PMID32779332
PMCPMC7689761
OpenAlexW3048865945

What OpenQuestion holds

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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 OpenQuestion graph.