Varaico: Literature-Extracted Genetic Variants

Gene:MSH6
Variant:p.I1054F
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MSH6

NM_000179.3:p.I1054F

Associated Papers

Precision in prediction: tailoring machine learning models for breast cancer missense variants pathogenicity prediction.

Ahmad RM et al.

Briefings in Bioinformatics, 2025

41263939 (PubMed )
Supplement: supplementary_materials_bbaf611_1_.zip › Supplementary_materials_bbaf611 › Supplementary_Table_S8.xlsx › Sheet1

Germline predisposition in multiple myeloma.

Martins Rodrigues F et al.

Iscience, 2025

39845416 (PubMed )
Supplement: mmc3.xlsx › S2H.Vars_clinic_WES_Family

Germline variants in early and late-onset Brazilian prostate cancer patients.

Coelho KBCA et al.

Urologic Oncology, 2024

Clinical and molecular response of acute myeloid leukemia harboring non-canonical FLT3 N676K driver mutations to contemporary FLT3 inhibitors.

Roloff GW et al.

Haematologica, 2023

36655425 (PubMed )
Supplement: 2022_282148_ROLOFF_SUPPL.pdf

Discordance between germline genetic findings and abnormal tumor immunohistochemistry staining of mismatch repair proteins in individuals with suspected Lynch syndrome.

Pan S et al.

Frontiers in Oncology, 2023

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

Classification of MSH6 Variants of Uncertain Significance Using Functional Assays.

Frederiksen JH et al.

International Journal of Molecular Sciences, 2021

34445333 (PubMed )
Supplement: ijms-22-08627-s001.zip › ijms-1268836-supplementary.xlsx › Combined_minus_RNA

Next-generation sequencing in thyroid cancers: do targetable alterations lead to a therapeutic advantage?: A multicenter experience.

Moore A et al.

Medicine, 2021

Two integrated and highly predictive functional analysis-based procedures for the classification of MSH6 variants in Lynch syndrome.

Drost M et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2020

Toward automation of germline variant curation in clinical cancer genetics.

Ravichandran V et al.

Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2019

30787465 (PubMed )
Supplement: NIHMS1525468-supplement-Large_Excel_File.xlsx › Table_S6

A Bayesian framework for efficient and accurate variant prediction.

Qian D et al.

Plos One, 2018

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

Sequencing an Ashkenazi reference panel supports population-targeted personal genomics and illuminates Jewish and European origins.

Carmi S et al.

Nature Communications, 2014

25203624 (PubMed )
Supplement: ncomms5835-s5.xlsx › List_of_all_discovered_variants

CoDP: predicting the impact of unclassified genetic variants in MSH6 by the combination of different properties of the protein.

Terui H et al.

Journal of Biomedical Science, 2013

Classification of mismatch repair gene missense variants with PON-MMR.

Ali H et al.

Human Mutation, 2012

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Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."