Unknown

Dataset Information

Quantifying the Genetic Correlation between Multiple Cancer Types.


ABSTRACT: Background: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies.Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations betwe

SUBMITTER: Lindstrom S 

PROVIDER: S-EPMC5582139 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature