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

A protocol for using human genetic data to identify circulating protein level changes that are the causal consequence of cancer processes.

PloS one - 1 Jan 2025

Hobson Lisa M, Martin Richard M, Smith-Byrne Karl, Davey Smith George, Hemani Gibran, Gilbody Joseph H, Yarmolinsky James, Bailey Sarah E R, Goudswaard Lucy J, Haycock Philip C

Abstract excerpt

INTRODUCTION: Cancer is a leading cause of death worldwide. Early detection of cancer improves treatment options and patient survival but detecting cancer at the earliest stage presents challenges. Identification of circulating protein biomarkers for cancer risk stratification and early detection is an attractive avenue for potentially minimally invasive screening and early detection methods. This research aims...

Topics

Join the communities discussing this publication.

Biomarkers, Tumor
Colorectal Neoplasms
CS gene
Genetic Predisposition to Disease
Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 41348656
DOI: 10.1371/journal.pone.0312970
PMCID: PMC12680162

Genes

CS

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A protocol for using human genetic data to identify circulating protein level changes that are the causal consequence of cancer processes.PMID 41348656Read ↗

A protocol for using human genetic data to identify circulating protein level changes that are the causal consequence of cancer processesSemantic proximity Read ↗

Identifying proteomic risk factors for cancer using prospective and exome analyses: 1,463 circulating proteins and risk of 19 cancers in the UK BiobankSemantic proximity Read ↗

Assessing the Causal Impact of the Circulating Proteome on Susceptibility to Gastrointestinal Cancer-Associated CharacteristicsSemantic proximity Read ↗

The circulating proteome and cancer risk: a systematic literature review and meta-analysis of 26 prospective studies with genetic validation.Semantic proximity Read ↗

Mechanistic Insights into Cancer Risk from the Circulating ProteomeSemantic proximity Read ↗

Leveraging and partitioning polygenic risk scores to identify cancer-related proteinsSemantic proximity Read ↗

Identifying proteomic risk factors for cancer using prospective and exome analyses of 1463 circulating proteins and risk of 19 cancers in the UK Biobank.Semantic proximity Read ↗

Proteomic prediction of disease largely reflects environmental risk exposureSemantic proximity Read ↗

Machine learning-based proteogenomic data modeling identifies circulating plasma biomarkers for early detection of lung cancerSemantic proximity Read ↗

Exploring the cross-cancer effect of circulating proteins and discovering potential intervention targets for 13 site-specific cancers.Semantic proximity Read ↗

Removing genetic effects on plasma proteins enhances their utility as disease biomarkersSemantic proximity Read ↗

A genome-wide association study of serum proteins reveals shared loci with common diseasesSemantic proximity Read ↗

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