Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Discovering predisposing genes for hereditary breast cancer using deep learning.

Briefings in bioinformatics - 23 May 2024

Passi Gal, Lieberman Sari, Zahdeh Fouad, Murik Omer, Renbaum Paul, Beeri Rachel, Linial Michal, May Dalit, Levy-Lahad Ephrat, Schneidman-Duhovny Dina

Abstract excerpt

Breast cancer (BC) is the most common malignancy affecting Western women today. It is estimated that as many as 10% of BC cases can be attributed to germline variants. However, the genetic basis of the majority of familial BC cases has yet to be identified. Discovering predisposing genes contributing to familial BC is challenging due to their presumed rarity, low penetrance, and complex biological mechanisms....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Breast Neoplasms
Share to Deep Learning

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Germ-Line Mutation

Share to Mutation, Missense

Share to Pedigree

Source

Open in PubMed Open full text

Identifiers

PMID: 39038933
DOI: 10.1093/bib/bbae346
PMCID: PMC11262808

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Discovering predisposing genes for hereditary breast cancer using deep learning.PMID 39038933Read ↗

A Review of Whole-Exome Sequencing Efforts Toward Hereditary Breast Cancer Susceptibility Gene Discovery.Semantic proximity Read ↗

Integrative Gene-Centric Analysis of Breast Cancer: High-Confidence Germline Predisposition Genes from Population-Scale CohortsSemantic proximity Read ↗

Understanding genetic variations associated with familial breast cancer.Semantic proximity Read ↗

Pathology of Tumors Associated With Pathogenic Germline Variants in 9 Breast Cancer Susceptibility Genes.Semantic proximity Read ↗

Breast cancer genomic analyses reveal genes, mutations, and signaling networks.Semantic proximity Read ↗

A knowledge-based framework for the discovery of cancer-predisposing variants using large-scale sequencing breast cancer data.Semantic proximity Read ↗

Germline Variants in 32 Cancer-Related Genes among 700 Chinese Breast Cancer Patients by Next-Generation Sequencing: A Clinic-Based, Observational Study.Semantic proximity Read ↗

Exome-based cancer driver gene comprehensive testing can provide a genetic diagnosis for individuals with triple-negative breast cancer.Semantic proximity Read ↗

The contribution of pathogenic variants in breast cancer susceptibility genes to familial breast cancer riskSemantic proximity Read ↗

Complex Landscape of Germline Variants in Brazilian Patients With Hereditary and Early Onset Breast CancerSemantic proximity Read ↗

Predisposition gene identification in common cancers by exome sequencing: insights from familial breast cancer.Semantic proximity Read ↗

A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.