Evidence map›Paper›PMID 32820244›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2020

Limited diagnostic impact of duplications <1 Mb of uncertain clinical significance: a 10-year retrospective analysis of reporting practices at the Mayo Clinic.

Cherisse A Marcou, Beth Pitel, Clinton E Hagen, Nicole J Boczek, Ross A Rowsey, Linda B Baughn, Nicole L Hoppman, Erik C Thorland, Hutton M Kearney

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Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Cherisse A MarcouDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA. marcou.cherisse@mayo.edu.ORCID http://orcid.org/0000-0002-9722-7492
Beth PitelDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Clinton E HagenDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Nicole J BoczekDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Ross A RowseyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Linda B BaughnDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Nicole L HoppmanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Erik C ThorlandDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Hutton M KearneyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCopy-number variants (CNVs) of uncertain clinical significance are routinely reported in a clinical setting only when exceeding predetermined reporting thresholds, typically based on CNV size. Given that very few genes are associated with triplosensitive phenotypes, it is not surprising that many interstitial duplications <1 Mb are found to be inherited and anticipated to be of limited or no clinical significance.

methodsIn an effort to further refine our reporting criteria to maximize diagnostic yield while minimizing the return of uncertain variants, we performed a retrospective analysis of all clinical microarray cases reported in a 10-year window. A total of 1112 reported duplications had parental follow-up, and these were compared by size, RefSeq gene content, and inheritance pattern. De novo origin was used as a rough proxy for pathogenicity.

resultsApproximately 6% of duplications 500 kb-1 Mb were de novo observations, compared with approximately 14% for 1-2 Mb duplications (p = 0.0005). On average, de novo duplications had higher gene counts than inherited duplications.

conclusionOur data reveal limited diagnostic utility for duplications of uncertain significance <1 Mb. Considerations for revised reporting criteria are discussed and are applicable to CNVs detected by any genome-wide exploratory methodology, including exome/genome sequencing.

Indexed as

DNA Copy Number VariationsExomeExome SequencingMicroarray AnalysisRetrospective Studiescopy-number variantduplicationmicroarrayreporting criteriatriplosensitivity

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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.