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ABSTRACT: Background
Background: Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with cancer risk. GWAS data are important for cancer prevention and understanding the underlying mechanisms of cancer.Aims
This study aimed to investigate the genetic association between different types of cancer using GWAS data and a bioinformatics approach.Methods and results
The significant GWAS variants associated with more than one cancer type were identified. Common linkage disequilibrium (LD) variants between different types of cancer were identified by 1000 genomes phase 3 LD data. Haplotype blocks were identified by analyzing 1000 Genomes phase 3 genotyping data in the GWAS populations. Subsequent analyses included functional SNP analyses an
SUBMITTER: Gholami M
PROVIDER: S-EPMC11190585 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature