Evidence map›Paper›PMID 38790019›Full record

ArticleOrphanet journal of rare diseases2024

Diagnostic yield of exome and genome sequencing after non-diagnostic multi-gene panels in patients with single-system diseases.

Matheus V M B Wilke, Eric W Klee, Radhika Dhamija, Fernando C Fervenza, Brittany Thomas, Nelson Leung, Marie C Hogan, Megan M Hager, Kayla J Kolbert, Jennifer L Kemppainen and 6 more

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Genome sequencing reveals the impact of pseudoexons in rare genetic disease.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  4. NovelKidney international reports · 2025
    Article
  5. The Use of AI for Phenotype-Genotype Mapping.Methods in molecular biology (Clifton, N.J.) · 2025
    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

16 authors.

Matheus V M B WilkeCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Eric W KleeCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Radhika DhamijaDepartment of Clinical Genomics, Mayo Clinic, Rochester, MN, USA.
Fernando C FervenzaDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Brittany ThomasIllumina, Inc, San Diego, CA, USA.
Nelson LeungDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Marie C HoganDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Megan M HagerNatera, Austin, TX, USA.
Kayla J KolbertCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Jennifer L KemppainenCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Elle C LoftusCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Katie M LeitzenCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Carolyn R VitekCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Tammy McAllisterCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Konstantinos N LazaridisCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Filippo Pinto E VairoCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, USA. vairo.filippo@mayo.edu.ORCID 0000-0001-6030-1903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThough next-generation sequencing (NGS) tests like exome sequencing (ES), genome sequencing (GS), and panels derived from exome and genome data (EGBP) are effective for rare diseases, the ideal diagnostic approach is debated. Limited research has explored reanalyzing raw ES and GS data post-negative EGBP results for diagnostics.

resultsWe analyzed complete ES/GS raw sequencing data from Mayo Clinic's Program for Rare and Undiagnosed Diseases (PRaUD) patients to assess whether supplementary findings could augment diagnostic yield. ES data from 80 patients (59 adults) and GS data from 20 patients (10 adults), averaging 43 years in age, were analyzed. Most patients had renal (n=44) and auto-inflammatory (n=29) phenotypes. Ninety-six cases had negative findings and in four cases additional genetic variants were found, including a variant related to a recently described disease (RRAGD-related hypomagnesemia), a variant missed due to discordant inheritance pattern (COL4A3), a variant with high allelic frequency (NPHS2) in the general population, and a variant associated with an initially untargeted phenotype (HNF1A).

conclusionES and GS show diagnostic yields comparable to EGBP for single-system diseases. However, EGBP's limitations in detecting new disease-associated genes underscore the necessity for periodic updates.

Indexed as

High-Throughput Nucleotide SequencingAdolescentAdultAgedExomeExome SequencingFemaleHumansMaleMiddle AgedRare DiseasesWhole Genome SequencingYoung AdultDiagnostic yieldExomeGene panelsGenetic testingGenomeRare diseases

Identifiers

PMID38790019
PMCPMC11127317

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Registered trials

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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.