Unknown

Dataset Information

Identification of significant single-nucleotide polymorphisms associated with breast cancer recurrence and metastasis using GWAS.


ABSTRACT:

Background

Identification of risk genes and loci associated with the recurrence and metastasis of breast cancer (BC) is of utmost importance. Genome-wide association studies (GWASs) represent valuable tools for identifying the disease risk associated with a given single-nucleotide polymorphism (SNP); they offer significant insights into the disease progression mechanism by analyzing SNP information of the entire genome. Though GWAS has already identified several genetic susceptibility SNPs for BC, their significance in the recurrence and metastasis of this cancer remains unclear. Here, we used a GWAS approach to identify SNPs specifically associated with the risk of BC recurrence and metastasis.

Methods

This study adopted a two-stage GWAS approach. In the first stage, 97 pai

SUBMITTER: Sun S 

PROVIDER: S-EPMC11705446 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature