Back to search

Article

Leveraging and partitioning polygenic risk scores to identify cancer-related proteins

2025-11-25

Abstract excerpt

<h4>Background</h4> Large-scale genome-wide association studies (GWAS) have identified numerous common susceptibility variants associated with various cancers but underlying molecular mechanisms remain largely unknown. <h4>Methods</h4> Here we investigated the associations of susceptibility SNPs from 21 cancers with 4,955 plasma protein levels measured in cancer-free participants (N=8,664) from the Atheroscleros...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3a087957-29ce-5ace-9997-ca44538b4e13
DOI
10.1101/2025.11.23.25340827
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Leveraging and partitioning polygenic risk scores to identify cancer-related proteinsDOI 10.1101/2025.11.23.25340827
Select a neighboring publication to make it the new centre.