Evidence map›Paper›PMID 29887214›Full record

ArticleAmerican journal of human genetics2018

Using Somatic Mutations from Tumors to Classify Variants in Mismatch Repair Genes.

Brian H Shirts, Eric Q Konnick, Sarah Upham, Tom Walsh, John Michael O Ranola, Angela L Jacobson, Mary-Claire King, Rachel Pearlman, Heather Hampel, Colin C Pritchard

Abstract read
In one paragraph

Article in American journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Novel Mutation ofJournal of clinical medicine · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Sporadic and Lynch syndrome-associated mismatch repair-deficient brain tumors.Laboratory investigation; a journal of technical methods and pathology · 2022
    Article
  12. Article
  13. Review
  14. Somatic Tumor Profile Analysis in a Patient with GermlineJournal of personalized medicine · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. A Novel Splice-Site Mutation inFrontiers in oncology · 2020
    Article
  20. 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

10 authors.

Brian H ShirtsDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA. Electronic address: shirtsb@uw.edu.
Eric Q KonnickDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Sarah UphamDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Tom WalshDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA.
John Michael O RanolaDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Angela L JacobsonDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Mary-Claire KingDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA.
Rachel PearlmanDepartment of Internal Medicine, Division of Human Genetics, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43221, USA.
Heather HampelDepartment of Internal Medicine, Division of Human Genetics, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43221, USA.
Colin C PritchardDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Developing and Evaluating Patient Centered Tools for Clinical Classification of Variants of Uncertain SignificanceR21HG008513 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHIRTS, BRIAN HANSON · 2015 to 2016
$386k
NCI NIH HHS P30 CA015704NCI NIH HHS P30 CA016058NHGRI NIH HHS R21 HG008513
6 · The paper itself

Abstract

Present guidelines for classification of constitutional variants do not incorporate inferences from mutations seen in tumors, even when these are associated with a specific molecular phenotype. When somatic mutations and constitutional mutations lead to the same molecular phenotype, as for the mismatch repair genes, information from somatic mutations may enable interpretation of previously unclassified variants. To test this idea, we first estimated likelihoods that somatic variants in MLH1, MSH2, MSH6, and PMS2 drive microsatellite instability and characteristic IHC staining patterns by calculating likelihoods of high versus low normalized variant read fractions of 153 mutations known to be pathogenic versus those of 760 intronic passenger mutations from 174 paired tumor-normal samples. Mutations that explained the tumor mismatch repair phenotype had likelihood ratio for high variant read fraction of 1.56 (95% CI 1.42-1.71) at sites with no loss of heterozygosity and of 26.5 (95% CI 13.2-53.0) at sites with loss of heterozygosity. Next, we applied these ratios to 165 missense, synonymous, and splice variants observed in tumors, combining in a Bayesian analysis the likelihood ratio corresponding with the adjusted variant read fraction with pretest probabilities derived from published analyses and public databases. We suggest classifications for 86 of 165 variants: 7 benign, 31 likely benign, 22 likely pathogenic, and 26 pathogenic. These results illustrate that for mismatch repair genes, characterization of tumor mutations permits tumor mutation data to inform constitutional variant classification. We suggest modifications to incorporate molecular phenotype in future variant classification guidelines.

Indexed as

DNA Mismatch RepairGenetic Predisposition to DiseaseHeterozygoteHumansMicrosatellite InstabilityMutationNeoplasmsPhenotypeBayesian analysiscolorectal cancerlikelihood-ratioloss of heterozygosityLynch-likeLynch syndromemolecular phenotypetumor mutationsvariant classification guidelinesvariant of uncertain significance

Identifiers

PMID29887214
PMCPMC6035155

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.