Varaico: Literature-Extracted Genetic Variants

Gene:MLH1
Variant:p.R226L
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MLH1

NM_000249.4:p.R226L

Associated Papers

Risk of lymphoid malignancy associated with cancer predisposition genes.

Boddicker NJ et al.

Blood Cancer Journal, 2025

40253392 (PubMed )
Supplement: 41408_2025_1283_MOESM1_ESM.xlsx › Table_S15

Lynch syndrome diagnostic testing pathways in endometrial cancers: a nationwide English registry-based study.

Loong L et al.

Journal of Medical Genetics, 2024

39433398 (PubMed )
Supplement: jmg-61-12-s001.pdf

The Spectrum of Disease-Associated Alleles in Countries with a Predominantly Slavic Population.

Yanus GA et al.

International Journal of Molecular Sciences, 2024

Evolutionary origin of germline pathogenic variants in human DNA mismatch repair genes.

Lei H et al.

Human Genomics, 2024

38287404 (PubMed )
Supplement: 40246_2024_573_MOESM3_ESM.xls › MLH1

Novel insights into tumorigenesis revealed by molecular analysis of Lynch syndrome cases with multiple colorectal tumors.

Olkinuora A et al.

Frontiers in Oncology, 2024

SpliceAI-10k calculator for the prediction of pseudoexonization, intron retention, and exon deletion.

Canson DM et al.

Bioinformatics (oxford, England), 2023

37021934 (PubMed )
Supplement: btad179_supplementary_data.zip › SAI10kcalc_supp_tables_final.xlsx › S1.variants

Characterization of sebaceous and non-sebaceous cutaneous manifestations in patients with lynch syndrome: a systematic review.

Aziz S et al.

Familial Cancer, 2023

36418753 (PubMed )
Supplement: 10689_2022_319_MOESM2_ESM.xlsx › Sup._2_Pathogenic_Variants

Evaluation of AlphaFold structure-based protein stability prediction on missense variations in cancer.

Keskin Karakoyun H et al.

Frontiers in Genetics, 2023

36896237 (PubMed )
Supplement: Table1.xlsx › clinvar_breastcancer_allvariant

Protein domains provide a new layer of information for classifying human variations in rare diseases.

Corcuff M et al.

Frontiers in Bioinformatics, 2023

36896423 (PubMed )
Supplement: Table1.XLSX › Supplementary_Table_1

Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins.

Hurník P et al.

Frontiers in Oncology, 2023

38188288 (PubMed )
Supplement: Table_5.xlsx › S5

Multi-omics analysis identifies osteosarcoma subtypes with distinct prognosis indicating stratified treatment.

Jiang Y et al.

Nature Communications, 2022

36418292 (PubMed )
Supplement: 41467_2022_34689_MOESM4_ESM.zip › Supplementary_Data › Supplementary_Data_5.xlsx › Sheet1

Multilocus Inherited Neoplasia Allele Syndrome (MINAS): an update.

McGuigan A et al.

European Journal of Human Genetics : Ejhg, 2022

34983940 (PubMed )
Supplement: 41431_2021_1013_MOESM1_ESM.pdf

Penetrance and outcomes at 1-year following return of actionable variants identified by genome sequencing.

Lee C et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2021

33824501 (PubMed )
Supplement: NIHMS1700422-supplement-Supplementary___Appendix__online_only_material__etc___2.pdf

The spectrum of Lynch syndrome-associated germ-line mutations in Russia.

Yanus GA et al.

European Journal of Medical Genetics, 2020

MLH1 promoter hypermethylation: are you absolutely sure about the absence of MLH1 germline mutation? About a new case.

Kientz C et al.

Familial Cancer, 2020

Contribution of mRNA Splicing to Mismatch Repair Gene Sequence Variant Interpretation.

Thompson BA et al.

Frontiers in Genetics, 2020

32849802 (PubMed )
Supplement: Data_Sheet_1.xlsx › Supplementary_Table_3

Computational and cellular studies reveal structural destabilization and degradation of MLH1 variants in Lynch syndrome.

Abildgaard AB et al.

Elife, 2019

A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.

Shamsani J et al.

Bioinformatics (oxford, England), 2019

30475984 (PubMed )
Supplement: bty960_supplementary_data.zip › bty960-Suppl_data › Supplementary_Table_S1.xlsx › Sheet1

Analysis of hereditary cancer syndromes by using a panel of genes: novel and multiple pathogenic mutations.

Tsaousis GN et al.

Bmc Cancer, 2019

31159747 (PubMed )
Supplement: 12885_2019_5756_MOESM3_ESM.xlsx › Supplementary_Table_S2

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

30212499 (PubMed )
Supplement: pone.0203553.s008.xlsx › Variants

Computational Tools for Splicing Defect Prediction in Breast/Ovarian Cancer Genes: How Efficient Are They at Predicting RNA Alterations?

Moles-Fernández A et al.

Frontiers in Genetics, 2018

30233647 (PubMed )
Supplement: Table_1.XLSX › Supplem_Table_6

Novel genetic mutations detected by multigene panel are associated with hereditary colorectal cancer predisposition.

Martin-Morales L et al.

Plos One, 2018

Targeted sequencing of established and candidate colorectal cancer genes in the Colon Cancer Family Registry Cohort.

Raskin L et al.

Oncotarget, 2017

Combined Microsatellite Instability, MLH1 Methylation Analysis, and Immunohistochemistry for Lynch Syndrome Screening in Endometrial Cancers From GOG210: An NRG Oncology and Gynecologic Oncology Group Study.

Goodfellow PJ et al.

Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology, 2015

MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.

Mort M et al.

Genome Biology, 2014

24451234 (PubMed )
Supplement: gb-2014-15-1-r19-S1.pdf

A state-wide population-based program for detection of lynch syndrome based upon immunohistochemical and molecular testing of colorectal tumours.

Schofield L et al.

Familial Cancer, 2012

Combined iPLEX and TaqMan assays to screen for 45 common mutations in Lynch syndrome and FAP patients.

Dymerska D et al.

The Journal of Molecular Diagnostics : Jmd, 2010

Multiplex SNaPshot genotyping for detecting loss of heterozygosity in the mismatch-repair genes MLH1 and MSH2 in microsatellite-unstable tumors.

Bujalkova M et al.

Clinical Chemistry, 2008

Redundant DNA methylation in colorectal cancers of Lynch-syndrome patients.

Alemayehu A et al.

Genes, Chromosomes & Cancer, 2008

Accurate classification of MLH1/MSH2 missense variants with multivariate analysis of protein polymorphisms-mismatch repair (MAPP-MMR).

Chao EC et al.

Human Mutation, 2008

Functional analysis of human MLH1 variants using yeast and in vitro mismatch repair assays.

Takahashi M et al.

Cancer Research, 2007

Some aspects of molecular diagnostics in Lynch syndrome.

Kurzawski G

Hereditary Cancer in Clinical Practice, 2006

Germline MSH2 and MLH1 mutational spectrum including large rearrangements in HNPCC families from Poland (update study).

Kurzawski G et al.

Clinical Genetics, 2006

The use of microsatellite instability, immunohistochemistry and other variables in determining the clinical significance of MLH1 and MSH2 unclassified variants in Lynch syndrome.

Lucci-Cordisco E et al.

Cancer Biomarkers : Section a of Disease Markers, 2006

RNA analysis reveals splicing mutations and loss of expression defects in MLH1 and BRCA1.

Sharp A et al.

Human Mutation, 2004

Molecular analysis of hereditary nonpolyposis colorectal cancer in the United States: high mutation detection rate among clinically selected families and characterization of an American founder genomic deletion of the MSH2 gene.

Wagner A et al.

American Journal of Human Genetics, 2003

Novel MLH1 and MSH2 germline mutations in the first HNPCC families identified in Slovakia.

Bartosova Z et al.

Human Mutation, 2003

Germline MSH2 and MLH1 mutational spectrum in HNPCC families from Poland and the Baltic States.

Kurzawski G et al.

Journal of Medical Genetics, 2002

Re: Characterization of hereditary nonpolyposis colorectal cancer families from a population-based series of cases.

Evans DG et al.

Journal of the National Cancer Institute, 2001

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