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Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts.

Sara R RashkinRebecca E GraffLinda KachuriKhanh K ThaiStacey E AlexeeffMaruta A BlatchinsTaylor B CavazosDouglas A CorleyNima C EmamiJoshua D HoffmanEric JorgensenLawrence H KushiTravis J MeyersStephen K Van den EedenElad ZivLaurel A HabelThomas J HoffmannLori C SakodaJohn S Witte
Published in: Nature communications (2020)
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.
Keyphrases
  • genome wide
  • papillary thyroid
  • gene expression
  • copy number
  • squamous cell
  • risk assessment
  • lymph node metastasis
  • heavy metals
  • transcription factor
  • health information
  • cross sectional