Development of risk prediction models for glioma based on genome-wide association study findings and comprehensive evaluation of predictive performances.

ABSTRACT: Over 14 common single nucleotide polymorphisms (SNP) have been consistently identified from genome-wide association studies (GWAS) as associated with glioma risk in European background. The extent to which and how these genetic variants can improve the prediction of glioma risk has was not been investigated. In this study, we employed three independent case-control datasets in Chinese populations, tested GWAS signals in dataset1, validated association results in dataset2, developed prediction models in dataset2 for the consistently replicated SNPs, refined the consistently replicated SNPs in dataset3 and developed tailored models for Chinese populations. For model construction, we aggregated the contribution of multiple SNPs into genetic risk scores (count GRS and weighed GRS) or predicted

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC5823595 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature