Evidence map›Paper›PMID 22949387›Full record

ArticleHuman mutation2013

Calibration of multiple in silico tools for predicting pathogenicity of mismatch repair gene missense substitutions.

Bryony A Thompson, Marc S Greenblatt, Maxime P Vallee, Johanna C Herkert, Chloe Tessereau, Erin L Young, Ivan A Adzhubey, Biao Li, Russell Bell, Bingjian Feng and 11 more

Open access · greenAbstract read
In one paragraph

Article in Human mutation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

56 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
  2. The Tyrolean FounderBiomolecules · 2026
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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

21 authors at 13 institutions in 4 countries.

Bryony A ThompsonQueensland Institute of Medical Research, Herston, Brisbane, Australia.
Marc S Greenblatt
Maxime P Vallee
Johanna C Herkert
Chloe Tessereau
Erin L Young
Ivan A Adzhubey
Biao Li
Russell Bell
Bingjian Feng
Sean D Mooney
Predrag Radivojac
Shamil R Sunyaev
Thierry Frebourg
Robert M W Hofstra
Rolf H Sijmons
Ken Boucher
Alun Thomas
David E Goldgar
Amanda B Spurdle
Sean V Tavtigian
University of Utah · USHarvard University · USIndiana University Bloomington · USUniversity Medical Center Groningen · NLBuck Institute for Research on Aging · USCentre de Recherche en Cancérologie de Lyon · FRCentre International de Recherche sur le Cancer · FRErasmus MC · NLHuntsman Cancer Institute · USQIMR Berghofer Medical Research Institute · AUUniversité de Rouen Normandie · FRUniversity of Queensland · AUUniversity of Vermont · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
New Methods and Enhanced Software for Predicting Functional SNPsR01GM078598 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2007 to 2017
$3.5M
NCI NIH HHS P30 CA042014NHGRI NIH HHS U54 HG004028NIGMS NIH HHS R01 GM078598
6 · The paper itself

Abstract

Classification of rare missense substitutions observed during genetic testing for patient management is a considerable problem in clinical genetics. The Bayesian integrated evaluation of unclassified variants is a solution originally developed for BRCA1/2. Here, we take a step toward an analogous system for the mismatch repair (MMR) genes (MLH1, MSH2, MSH6, and PMS2) that confer colon cancer susceptibility in Lynch syndrome by calibrating in silico tools to estimate prior probabilities of pathogenicity for MMR gene missense substitutions. A qualitative five-class classification system was developed and applied to 143 MMR missense variants. This identified 74 missense substitutions suitable for calibration. These substitutions were scored using six different in silico tools (Align-Grantham Variation Grantham Deviation, multivariate analysis of protein polymorphisms [MAPP], MutPred, PolyPhen-2.1, Sorting Intolerant From Tolerant, and Xvar), using curated MMR multiple sequence alignments where possible. The output from each tool was calibrated by regression against the classifications of the 74 missense substitutions; these calibrated outputs are interpretable as prior probabilities of pathogenicity. MAPP was the most accurate tool and MAPP + PolyPhen-2.1 provided the best-combined model (R(2)  = 0.62 and area under receiver operating characteristic = 0.93). The MAPP + PolyPhen-2.1 output is sufficiently predictive to feed as a continuous variable into the quantitative Bayesian integrated evaluation for clinical classification of MMR gene missense substitutions.

Indexed as

Mutation, MissenseAdaptor Proteins, Signal TransducingAdenosine TriphosphatasesBayes TheoremCalibrationColorectal Neoplasms, Hereditary NonpolyposisComputational BiologyDNA-Binding ProteinsDNA Mismatch RepairDNA Repair EnzymesGenetic Predisposition to DiseaseHumansMismatch Repair Endonuclease PMS2MutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsAdaptor Proteins, Signal TransducingAdenosine TriphosphatasesDNA-Binding ProteinsDNA Repair EnzymesG-T mismatch-binding proteinMismatch Repair Endonuclease PMS2MLH1 protein, humanMSH2 protein, humanMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsPMS2 protein, human

Identifiers

PMID22949387
PMCPMC4318556
OpenAlexW2083022629

What OpenQuestion holds

Textmetadata
LicenceTDM
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.