Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A genetic model for determining MSH2 and MLH1 carrier probabilities based on family history and tumor microsatellite instability.

Clinical genetics - 1 Mar 2006

Marroni F, Pastrello C, Benatti P, Torrini M, Barana D, Cordisco E L, Viel A, Mareni C, Oliani C, Genuardi M, Bailey-Wilson J E, Ponz de Leon M, Presciuttini S

Abstract excerpt

Mutation-predicting models can be useful when deciding on the genetic testing of individuals at risk and in determining the cost effectiveness of screening strategies at the population level. The aim of this study was to evaluate the performance of a newly developed genetic model that incorporates tumor microsatellite instability (MSI) information, called the AIFEG model, and in predicting the presence of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adaptor Proteins, Signal Transducing
Share to Colorectal Neoplasms, Hereditary Nonpolyposis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Carrier Screening

Share to Genomic Instability

Share to MutL Protein Homolog 1

Share to MutS Homolog 2 Protein

Share to Software

Source

Identifiers

PMID: 16542391
DOI: 10.1111/j.1399-0004.2006.00577.x

Genes

MLH1
MSH2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A genetic model for determining MSH2 and MLH1 carrier probabilities based on family history and tumor microsatellite instability.PMID 16542391Read ↗

Prediction of Germline Mutations and Cancer Risk in the Lynch SyndromeSemantic proximity Read ↗

Integrated analysis of unclassified variants in mismatch repair genes.Semantic proximity Read ↗

A comparison of models used to predict MLH1, MSH2 and MSH6 mutation carriers.Semantic proximity Read ↗

Prediction of MLH1 and MSH2 mutations in Lynch syndrome.Semantic proximity Read ↗

Evaluation of predictive models in daily practice for the identification of patients with Lynch syndrome.Semantic proximity Read ↗

Accurate classification of <i>MLH1/MSH2</i> missense variants with multivariate analysis of protein polymorphisms-mismatch repair (MAPP-MMR)Semantic proximity Read ↗

Predictive models for mutations in mismatch repair genes: implication for genetic counseling in developing countries.Semantic proximity Read ↗

Polygenic Score Complements Family History and Lynch Syndrome Genes for Predicting Colorectal Cancer RiskSemantic proximity Read ↗

Microsatellite instability as a predictor of a mutation in a DNA mismatch repair gene in familial colorectal cancer.Semantic proximity Read ↗

Clinical consequences of molecular diagnosis in families with mismatch repair gene germline mutations.Semantic proximity Read ↗

Efficient detection of hereditary nonpolyposis colorectal cancer gene carriers by screening for tumor microsatellite instability before germline genetic testing.Semantic proximity Read ↗

Comparison of the clinical prediction model PREMM 1,2,6 and molecular testing for the systematic identification of Lynch syndrome in colorectal cancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.