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1.
  • Matejcic, M, et al. (creator_code:aut_t)
  • Author Correction: Germline variation at 8q24 and prostate cancer risk in men of European ancestry
  • 2019
  • record:In_t: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 382-
  • swepub:Mat_article_t (swepub:level_refereed_t)abstract
    • The original version of this Article contained an error in the spelling of the author Manuela Gago-Dominguez, which was incorrectly given as Manuela G. Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.
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  • Gusev, A, et al. (creator_code:aut_t)
  • Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation
  • 2016
  • record:In_t: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7, s. 10979-
  • swepub:Mat_article_t (swepub:level_refereed_t)abstract
    • Although genome-wide association studies have identified over 100 risk loci that explain ∼33% of familial risk for prostate cancer (PrCa), their functional effects on risk remain largely unknown. Here we use genotype data from 59,089 men of European and African American ancestries combined with cell-type-specific epigenetic data to build a genomic atlas of single-nucleotide polymorphism (SNP) heritability in PrCa. We find significant differences in heritability between variants in prostate-relevant epigenetic marks defined in normal versus tumour tissue as well as between tissue and cell lines. The majority of SNP heritability lies in regions marked by H3k27 acetylation in prostate adenoc7arcinoma cell line (LNCaP) or by DNaseI hypersensitive sites in cancer cell lines. We find a high degree of similarity between European and African American ancestries suggesting a similar genetic architecture from common variation underlying PrCa risk. Our findings showcase the power of integrating functional annotation with genetic data to understand the genetic basis of PrCa.
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  • Dadaev, T, et al. (creator_code:aut_t)
  • Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants
  • 2018
  • record:In_t: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 9:1, s. 2256-
  • swepub:Mat_article_t (swepub:level_refereed_t)abstract
    • Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.
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