Associated Papers
Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.
Padigepati SR et al.
Human Genetics, 2024
39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › PTEN
Classification of PTEN missense VUS through exascale simulations.
Sinha S et al.
Briefings in Bioinformatics, 2023
vaRHC: an R package for semi-automation of variant classification in hereditary cancer genes according to ACMG/AMP and gene-specific ClinGen guidelines.
Munté E et al.
Bioinformatics (oxford, England), 2023
36916756 (PubMed )
Supplement: btad128_supplementary_data.zip › btad128_Supplementary_Data › Supplementary_tables10022023.xlsx › ST11-PTEN
Mosaicism in Tumor Suppressor Gene Syndromes: Prevalence, Diagnostic Strategies, and Transmission Risk.
Chen JL et al.
Annual Review of Genomics and Human Genetics, 2022
36044908 (PubMed )
Supplement: gg23-giannikou_suptable1.xlsx › PTEN
Diverse alterations associated with resistance to KRAS(G12C) inhibition.
Zhao Y et al.
Nature, 2021
Prevalence and clinical/molecular characteristics of PTEN mutations in Turkish children with autism spectrum disorders and macrocephaly.
Kaymakcalan H et al.
Molecular Genetics & Genomic Medicine, 2021
Analyzing aggregation propensities of clinically relevant PTEN mutants: a new culprit in pathogenesis of cancer and other PTENopathies.
Palumbo E et al.
Journal of Biomolecular Structure & Dynamics, 2020
31232187 (PubMed )
Supplement: supplement_1.zip › Supplement_S4_mutants_nochange.xlsx › Mutants_no_change
Predicting PTEN mutations: an evaluation of Cowden syndrome and Bannayan-Riley-Ruvalcaba syndrome clinical features.
Pilarski R et al.
Journal of Medical Genetics, 2011
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