Varaico: Literature-Extracted Genetic Variants

Gene:MLH1
Variant:p.Q346Q
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MLH1

NM_000249.4:p.Q346Q

Associated Papers

Building a hereditary cancer program in Colombia: analysis of germline pathogenic and likely pathogenic variants spectrum in a high-risk cohort.

Sanabria-Salas MC et al.

European Journal of Human Genetics : Ejhg, 2025

Approaches for Lynch syndrome screening and characteristics of subtypes with mismatch repair deficiency in patients with colorectal carcinoma.

Feng X et al.

International Journal of Cancer, 2024

39109916 (PubMed )
Supplement: supplement_1.pdf

Engineering of a high-fidelity Cas12a nuclease variant capable of allele-specific editing.

Wei J et al.

Plos Biology, 2024

38865309 (PubMed )
Supplement: pbio.3002680.s016.xlsx › ClinVar

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

From variant of unknown significance to likely pathogenic: Characterization and pathogenicity determination of a large genomic deletion in the MLH1 gene.

Bouras A et al.

Molecular Genetics & Genomic Medicine, 2023

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

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

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

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

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
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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."