Evidence map›Paper›PMID 23525798›Full record

ArticleFamilial cancer2013

Gene variants of unknown clinical significance in Lynch syndrome. An introduction for clinicians.

Rolf H Sijmons, Marc S Greenblatt, Maurizio Genuardi

Abstract read
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In one paragraph

Article in Familial cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. A functional assay-based procedure to classify mismatch repair gene variants in Lynch syndrome.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  7. Article
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  11. 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

3 authors at 3 institutions in 3 countries.

Rolf H SijmonsDepartment of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, The Netherlands. r.h.sijmons@umcg.nl
Marc S Greenblatt
Maurizio Genuardi
Tumour Institute of Tuscany · ITUniversity Medical Center Groningen · NLUniversity of Vermont · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinicians referring patients for genetic testing for Lynch syndrome will sooner or later receive results for DNA Mismatch Repair (MMR) genes reporting DNA changes that are unclear from a clinical point of view. These changes are referred to as variants of unknown, or unclear, clinical significance (VUS). In contrast to clearly pathogenic mutations, VUS do not firmly diagnose Lynch syndrome at the molecular level and cannot be used to identify with certainty any of the patients' asymptomatic relatives as Lynch syndrome mutation carriers. The International database that collects MMR gene variants ( www.insight-group.org/mutations ) already lists more than 1,000 different VUSs and these variants are likely the tip of the iceberg. This paper aims at introducing non-geneticist clinicians to the topic of clinical MMR gene variant interpretation. Many lines of evidence are being used to classify VUS. Some are already familiar to clinicians and others may be less familiar but are expected to become important in clinical genetics in the coming years. Clinicians can play an important role in collecting the data needed to interpret the MMR variants detected in their patients.

Indexed as

Colorectal Neoplasms, Hereditary NonpolyposisDNA Mismatch RepairGenetic Predisposition to DiseaseGenetic TestingGenetic VariationHumans

Identifiers

PMID23525798
OpenAlexW2111012394

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.