Unknown

Dataset Information

Improving neuroblastoma risk prediction through a polygenic risk score derived from genome-wide association study-identified loci.


ABSTRACT:

Objective

Neuroblastoma is the most common extracranial solid tumor in children and has complex genetic underpinnings. Previous genome-wide association studies (GWASs) have identified many loci associated with neuroblastoma susceptibility; however, their application in risk prediction for Chinese children has not been systematically explored. This study seeks to enhance neuroblastoma risk prediction by validating these loci and evaluating their performance in polygenic risk models.

Methods

We validated 35 GWAS-identified neuroblastoma susceptibility loci in a cohort of Chinese children, consisting of 402 neuroblastoma patients and 473 healthy controls. Genotyping these polymorphisms was conducted via the TaqMan method. Univariable and multivariable logistic regression analys

SUBMITTER: Zhang W 

PROVIDER: S-EPMC11893341 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature