Varaico: Literature-Extracted Genetic Variants

Gene:ATM
Variant:p.G301D
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ATM

NM_000051.4:p.G301D

Associated Papers

Germline variants observed in pediatric cancer patients related to hereditary breast and ovarian cancer in adults.

Daugs K et al.

International Journal of Cancer, 2025

40857049 (PubMed )
Supplement: IJC-157-2447-s001.xlsx › Suppl.Tab5_187VUS_n372

Clinical genome sequencing in patients with hereditary breast and ovarian cancer: Concept, implementation and benefits.

Witt D et al.

Breast (edinburgh, Scotland), 2025

40403485 (PubMed )
Supplement: mmc2.xlsx › Full_information

Classification of Gene Variants in a Danish Population with Suspected Predisposition to Hereditary Breast and/or Ovarian Cancer.

Munch AK et al.

Cancers, 2025

40507299 (PubMed )
Supplement: cancers-17-01819-s001.zip › cancers-3594035-supplementary.pdf

Phenotypic evaluation of deep learning models for classifying germline variant pathogenicity.

Chow RD et al.

Npj Precision Oncology, 2024

39427061 (PubMed )
Supplement: 41698_2024_710_MOESM2_ESM.xlsx › S3

The evolutionary impact of childhood cancer on the human gene pool.

Stoltze UK et al.

Nature Communications, 2024

38424437 (PubMed )
Supplement: 41467_2024_45975_MOESM4_ESM.xlsx › Supplementary_Data_15

The Potential of Genetics in Identifying Women at Lower Risk of Breast Cancer.

Bolze A et al.

Jama Oncology, 2024

38153744 (PubMed )
Supplement: jamaoncol-e235468-s002.xlsx › eTable_4

Implementation of genomic medicine for rare disease in a tertiary healthcare system: Mayo Clinic Program for Rare and Undiagnosed Diseases (PRaUD).

Pinto E Vairo F et al.

Journal of Translational Medicine, 2023

37353797 (PubMed )
Supplement: 12967_2023_4183_MOESM3_ESM.xlsx › Table_S3

Occurrence of variants of unknown clinical significance in genetic testing for hereditary breast and ovarian cancer syndrome and Lynch syndrome: a literature review and analytical observational retrospective cohort study.

Adam F et al.

Bmc Medical Genomics, 2023

36647026 (PubMed )
Supplement: 12920_2023_1437_MOESM2_ESM.xlsx › all_cases

SPiP: Splicing Prediction Pipeline, a machine learning tool for massive detection of exonic and intronic variant effects on mRNA splicing.

Leman R et al.

Human Mutation, 2022

36273432 (PubMed )
Supplement: HUMU-43-2308-s002.xlsx › Feuil1

Minigene-based splicing analysis and ACMG/AMP-based tentative classification of 56 ATM variants.

Bueno-Martínez E et al.

The Journal of Pathology, 2022

Uncovering the Contribution of Moderate-Penetrance Susceptibility Genes to Breast Cancer by Whole-Exome Sequencing and Targeted Enrichment Sequencing of Candidate Genes in Women of European Ancestry.

Dumont M et al.

Cancers, 2022

35884425 (PubMed )
Supplement: cancers-14-03363-s001.zip › Table_S11-final_16052022.xlsx › Table_S11B

Breast cancer risks associated with missense variants in breast cancer susceptibility genes.

Dorling L et al.

Genome Medicine, 2022

35585550 (PubMed )
Supplement: 13073_2022_1052_MOESM2_ESM.xlsx › Table_S14

A DNA Damage Response Gene Panel for Different Histologic Types of Epithelial Ovarian Carcinomas and Their Outcomes.

Chiang YC et al.

Biomedicines, 2021

34680501 (PubMed )
Supplement: biomedicines-09-01384-s001.zip › OV_NGS_Table_S1.pdf

Rare Germline Variants in ATM Predispose to Prostate Cancer: A PRACTICAL Consortium Study.

Karlsson Q et al.

European Urology Oncology, 2021

33436325 (PubMed )
Supplement: mmc2.xlsx › Table_S4

Comprehensive germline-genomic and clinical profiling in 160 unselected children and adolescents with cancer.

Wagener R et al.

European Journal of Human Genetics : Ejhg, 2021

33840814 (PubMed )
Supplement: 41431_2021_878_MOESM2_ESM.xlsx › Table_S3

Analysis of Sequence and Copy Number Variants in Canadian Patient Cohort With Familial Cancer Syndromes Using a Unique Next Generation Sequencing Based Approach.

Bhai P et al.

Frontiers in Genetics, 2021

34326862 (PubMed )
Supplement: Data_Sheet_1.zip › Supplementary_files › Supplementary_Table_S4.xlsx › Every_test

Discovering moderate-risk breast cancer susceptibility genes.

Hollestelle A et al.

Current Opinion in Genetics & Development, 2010

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