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The effect of sample size on polygenic hazard models for prostate cancer.
(SPRINGERNATURE, 2020-10-01)
We determined the effect of sample size on performance of polygenic hazard score (PHS) models in prostate cancer. Age and genotypes were obtained for 40,861 men from the PRACTICAL consortium. The dataset included 201,590 ...
Pan-cancer analysis of whole genomes.
(NATURE PORTFOLIO, 2020-02-06)
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1-3. Here we report the integrative analysis of ...
An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk.
(NATURE PUBLISHING GROUP, 2020-08-06)
It remains elusive whether some of the associations identified in genome-wide association studies of prostate cancer (PrCa) may be due to regulatory effects of genetic variants on CpG sites, which may further influence ...
Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.
(NATURE PORTFOLIO, 2020-07-03)
Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of ...