Evidence map›Paper›PMID 19267393›Full record

ArticleHuman mutation2009

Classifying MLH1 and MSH2 variants using bioinformatic prediction, splicing assays, segregation, and tumor characteristics.

Sven Arnold, Daniel D Buchanan, Melissa Barker, Lesley Jaskowski, Michael D Walsh, Genevieve Birney, Michael O Woods, John L Hopper, Mark A Jenkins, Melissa A Brown and 4 more

Abstract read
In one paragraph

Article in Human mutation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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  5. Article
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  9. Article
  10. Cancer prevention research (Philadelphia, Pa.) · 2017
    Article
  11. Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Genetic screens to identify pathogenic gene variants in the common cancer predisposition Lynch syndrome.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  20. Review
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

14 authors.

Sven ArnoldGenetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Australia.
Daniel D Buchanan
Melissa Barker
Lesley Jaskowski
Michael D Walsh
Genevieve Birney
Michael O Woods
John L Hopper
Mark A Jenkins
Melissa A Brown
Sean V Tavtigian
David E Goldgar
Joanne P Young
Amanda B Spurdle

Funding

The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
AUSTRALASIAN COLORECTAL CANCER FAMILY REGISTRYU01CA097735 · NCI · UNIVERSITY OF MELBOURNE · PI HOPPER, JOHN L · 2002 to 2007
$6.9M
Redox Regulation of Metastasis by Sod2K22CA095011 · NCI · ALBANY MEDICAL COLLEGE · PI MELENDEZ, JUAN ANDRES · 2002 to 2004
$446k
NCI NIH HHS P50 CA116201NCI NIH HHS RFA CA-95-011NCI NIH HHS U01 CA097735
6 · The paper itself

Abstract

Reliable methods for predicting functional consequences of variants in disease genes would be beneficial in the clinical setting. This study was undertaken to predict, and confirm in vitro, splicing aberrations associated with mismatch repair (MMR) variants identified in familial colon cancer patients. Six programs were used to predict the effect of 13 MLH1 and 6 MSH2 gene variants on pre-mRNA splicing. mRNA from cycloheximide-treated lymphoblastoid cell lines of variant carriers was screened for splicing aberrations. Tumors of variant carriers were tested for microsatellite instability and MMR protein expression. Variant segregation in families was assessed using Bayes factor causality analysis. Amino acid alterations were examined for evolutionary conservation and physicochemical properties. Splicing aberrations were detected for 10 variants, including a frameshift as a minor cDNA product, and altered ratio of known alternate splice products. Loss of splice sites was well predicted by splice-site prediction programs SpliceSiteFinder (90%) and NNSPLICE (90%), but consequence of splice site loss was less accurately predicted. No aberrations correlated with ESE predictions for the nine exonic variants studied. Seven of eight missense variants had normal splicing (88%), but only one was a substitution considered neutral from evolutionary/physicochemical analysis. Combined with information from tumor and segregation analysis, and literature review, 16 of 19 variants were considered clinically relevant. Bioinformatic tools for prediction of splicing aberrations need improvement before use without supporting studies to assess variant pathogenicity. Classification of mismatch repair gene variants is assisted by a comprehensive approach that includes in vitro, tumor pathology, clinical, and evolutionary conservation data.

Indexed as

Computational BiologyAdaptor Proteins, Signal TransducingAgedBiological AssayChromosome SegregationColonic NeoplasmsDNA, ComplementaryFemaleHeterozygoteHumansMaleMiddle AgedMutationMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsAdaptor Proteins, Signal TransducingDNA, ComplementaryMLH1 protein, humanMSH2 protein, humanMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear Proteins

Identifiers

PMID19267393
PMCPMC2707453

What OpenQuestion holds

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Read underepoch 390

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.