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Rigshospitalet - a part of Copenhagen University Hospital
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Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

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  1. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

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  2. Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson’s disease

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  3. Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

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  4. Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer

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  1. Vitamin D levels and the risk of prostate cancer and prostate cancer mortality

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  2. Short-term morbidity and mortality following radical cystectomy: a systematic review

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. What is the risk of prostate cancer mortality following negative systematic TRUS-guided biopsies? A systematic review

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  • Sara Benlloch
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Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.

Original languageEnglish
JournalNature Genetics
Volume53
Issue number1
Pages (from-to)65-75
Number of pages11
ISSN1061-4036
DOIs
Publication statusPublished - Jan 2021

ID: 62068636