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

Gene-Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology - 1 Nov 2023

Jeremian Richie, Xie Pingxing, Fotovati Misha, Lefrançois Philippe, Litvinov Ivan V

Abstract excerpt

BACKGROUND: Despite well-established relationships between sun exposure and skin cancer pathogenesis/progression, specific gene-environment interactions in at-risk individuals remain poorly-understood. METHODS: We leveraged a UK Biobank cohort of basal cell carcinoma (BCC, n = 17,221), cutaneous squamous cell carcinoma (cSCC, n = 2,331), melanoma in situ (M-is, n = 1,158), invasive melanoma (M-inv, n = 3,798),...

Read the complete abstract on PubMed

Topics

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

Share to Biological Specimen Banks
Share to Carcinoma, Basal Cell

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Carcinoma, Squamous Cell

Share to DNA Repair

Share to Melanoma

Share to Melanoma, Cutaneous Malignant

Share to Skin Neoplasms

Share to United Kingdom

Source

Open in PubMed Open full text

Identifiers

PMID: 37642678
DOI: 10.1158/1055-9965.EPI-23-0545
PMCID: PMC10840669

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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

Gene-Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk.PMID 37642678Read ↗

Mendelian randomizations with spatial gene networks reveal shared and distinct drivers of risk in major skin cancer typesSemantic proximity Read ↗

A multi-phenotype analysis reveals 19 novel susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinomaSemantic proximity Read ↗

Cutaneous and acral melanoma cross-OMICs reveals prognostic cancer drivers associated with pathobiology and ultraviolet exposureSemantic proximity Read ↗

A genetically informed study reveals modifiable pathways in skin cancer.Semantic proximity Read ↗

Cutaneous and acral melanoma cross-OMICs reveals prognostic cancer drivers associated with pathobiology and ultraviolet exposure.Semantic proximity Read ↗

A multi-phenotype analysis reveals 19 susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinomaSemantic proximity Read ↗

Genome-wide association study identifies novel alleles associated with risk of cutaneous basal cell carcinoma and squamous cell carcinoma.Semantic proximity Read ↗

Environment, phenotype and genetics: risk factors associated with BCC of the skin.Semantic proximity Read ↗

High-throughput characterization of transcription factors that modulate UV damage formation and repair at single-nucleotide resolution.Semantic proximity Read ↗

Genome-wide association study identifies 14 novel risk alleles associated with basal cell carcinoma.Semantic proximity Read ↗

Whole-genome landscapes of major melanoma subtypes.Semantic proximity Read ↗

Disease risk scores for skin cancers.Semantic proximity Read ↗

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