Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts
Sara R. Rashkin, Rebecca E. Graff, Linda Kachuri, Khanh K. Thai, Stacey Alexeeff, Maruta A. Blatchins, Taylor B. Cavazos, Douglas A. Corley, Nima C. Emami, Joshua Hoffman, Eric Jorgenson, Lawrence H. Kushi, Travis J. Meyers, Stephen K. Van Den Eeden, Elad Ziv, Laurel A. Habel, Thomas J. Hoffmann, Lori C. Sakoda, John S. Witte
Abstract
Deciphering the shared genetic basis of distinct cancers has the potential to elucidate carcinogenic mechanisms and inform broadly applicable risk assessment efforts. Here, we undertake genome-wide association studies (GWAS) and comprehensive evaluations of heritability and pleiotropy across 18 cancer types in two large, population-based cohorts: the UK Biobank (408,786 European ancestry individuals; 48,961 cancer cases) and the Kaiser Permanente Genetic Epidemiology Research on Adult Health and Aging cohorts (66,526 European ancestry individuals; 16,001 cancer cases). The GWAS detect 21 genome-wide significant associations independent of previously reported results. Investigations of pleiotropy identify 12 cancer pairs exhibiting either positive or negative genetic correlations; 25 pleiotropic loci; and 100 independent pleiotropic variants, many of which are regulatory elements and/or influence cross-tissue gene expression. Our findings demonstrate widespread pleiotropy and offer further insight into the complex genetic architecture of cross-cancer susceptibility.