Prediction of esophageal cancer risk based on genetic variants and environmental risk factors in Chinese population.

ABSTRACT:

Background

Results regarding whether it is essential to incorporate genetic variants into risk prediction models for esophageal cancer (EC) are inconsistent due to the different genetic backgrounds of the populations studied. We aimed to identify single-nucleotide polymorphisms (SNPs) associated with EC among the Chinese population and to evaluate the performance of genetic and non-genetic factors in a risk model for developing EC.

Methods

A meta-analysis was performed to systematically identify potential SNPs, which were further verified by a case-control study. Three risk models were developed: a genetic model with weighted genetic risk score (wGRS) based on promising SNPs, a non-genetic model with environmental risk factors, and a combined model including both genetic and

SUBMITTER: Liu H 

PROVIDER: S-EPMC11100074 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature