Associated Papers
Classification of PTEN germline non-truncating variants: a new approach to interpretation.
Margot H et al.
Journal of Medical Genetics, 2024
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
Uterine lavage identifies cancer mutations and increased TP53 somatic mutation burden in individuals with ovarian cancer.
Ghezelayagh TS et al.
Cancer Research Communications, 2022
36311816 (PubMed )
Supplement: crc-22-0314-s02.xlsx › Table_S6_List_of_mutations
Detection of oncogenic and clinically actionable mutations in cancer genomes critically depends on variant calling tools.
Garcia-Prieto CA et al.
Bioinformatics (oxford, England), 2022
35512388 (PubMed )
Supplement: btac306_supplementary_data.zip › Supplementary_files.zip › Supplementary_files › Supplementary_file_9.xlsx › Sheet1
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
Sequencing and curation strategies for identifying candidate glioblastoma treatments.
Frank MO et al.
Bmc Medical Genomics, 2019
Mutational and gene fusion analyses of primary large cell and large cell neuroendocrine lung cancer.
Karlsson A et al.
Oncotarget, 2015
26124082 (PubMed )
Supplement: oncotarget-06-22028-s003.xlsx › Variants_in_Lund_cohort
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