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Prostate cancer risk prediction using a polygenic risk score
Hereditary factors have a strong influence on prostate cancer (PC) risk and poorer outcomes, thus stratification by genetic factors addresses a critical need for targeted PC screening and risk-adapted follow-up. In this Finnish population-based retrospective study 2283 clinically diagnosed and 455 s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553910/ https://www.ncbi.nlm.nih.gov/pubmed/33051487 http://dx.doi.org/10.1038/s41598-020-74172-z |
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author | Sipeky, Csilla Talala, Kirsi M. Tammela, Teuvo L. J. Taari, Kimmo Auvinen, Anssi Schleutker, Johanna |
author_facet | Sipeky, Csilla Talala, Kirsi M. Tammela, Teuvo L. J. Taari, Kimmo Auvinen, Anssi Schleutker, Johanna |
author_sort | Sipeky, Csilla |
collection | PubMed |
description | Hereditary factors have a strong influence on prostate cancer (PC) risk and poorer outcomes, thus stratification by genetic factors addresses a critical need for targeted PC screening and risk-adapted follow-up. In this Finnish population-based retrospective study 2283 clinically diagnosed and 455 screen-detected patients from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC), 2400 healthy individuals have been involved. Individual genetic risk through establishment of a polygenic risk score based on 55 PC risk SNPs identified through the Finnish subset of the Collaborative Oncological Gene-Environment Study was assessed. Men with PC had significantly higher median polygenic risk score compared to the controls (6.59 vs. 3.83, P < 0.0001). The polygenic risk score above the control median was a significant predictor of PC (OR 2.13, 95% CI 1.90–2.39). The polygenic risk score predicted the risk of PC with an AUC of 0.618 (95% CI 0.60–0.63). Men in the highest polygenic risk score quartile were 2.8—fold (95% CI 2.4–3.30) more likely to develop PC compared with men in the lowest quartile. In the FinRSPC cohort, a significantly higher percentage of men had a PSA level of ≥ 4 ng/mL in polygenic risk score quartile four compared to quartile one (18.7% vs 8.3%, P < 0.00001). Adding the PRS to a PSA-only model contributed additional information in predicting PC in the FinRSPC model. Results strongly suggest that use of the polygenic risk score would facilitate the identification of men at increased risk for PC. |
format | Online Article Text |
id | pubmed-7553910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75539102020-10-14 Prostate cancer risk prediction using a polygenic risk score Sipeky, Csilla Talala, Kirsi M. Tammela, Teuvo L. J. Taari, Kimmo Auvinen, Anssi Schleutker, Johanna Sci Rep Article Hereditary factors have a strong influence on prostate cancer (PC) risk and poorer outcomes, thus stratification by genetic factors addresses a critical need for targeted PC screening and risk-adapted follow-up. In this Finnish population-based retrospective study 2283 clinically diagnosed and 455 screen-detected patients from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC), 2400 healthy individuals have been involved. Individual genetic risk through establishment of a polygenic risk score based on 55 PC risk SNPs identified through the Finnish subset of the Collaborative Oncological Gene-Environment Study was assessed. Men with PC had significantly higher median polygenic risk score compared to the controls (6.59 vs. 3.83, P < 0.0001). The polygenic risk score above the control median was a significant predictor of PC (OR 2.13, 95% CI 1.90–2.39). The polygenic risk score predicted the risk of PC with an AUC of 0.618 (95% CI 0.60–0.63). Men in the highest polygenic risk score quartile were 2.8—fold (95% CI 2.4–3.30) more likely to develop PC compared with men in the lowest quartile. In the FinRSPC cohort, a significantly higher percentage of men had a PSA level of ≥ 4 ng/mL in polygenic risk score quartile four compared to quartile one (18.7% vs 8.3%, P < 0.00001). Adding the PRS to a PSA-only model contributed additional information in predicting PC in the FinRSPC model. Results strongly suggest that use of the polygenic risk score would facilitate the identification of men at increased risk for PC. Nature Publishing Group UK 2020-10-13 /pmc/articles/PMC7553910/ /pubmed/33051487 http://dx.doi.org/10.1038/s41598-020-74172-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sipeky, Csilla Talala, Kirsi M. Tammela, Teuvo L. J. Taari, Kimmo Auvinen, Anssi Schleutker, Johanna Prostate cancer risk prediction using a polygenic risk score |
title | Prostate cancer risk prediction using a polygenic risk score |
title_full | Prostate cancer risk prediction using a polygenic risk score |
title_fullStr | Prostate cancer risk prediction using a polygenic risk score |
title_full_unstemmed | Prostate cancer risk prediction using a polygenic risk score |
title_short | Prostate cancer risk prediction using a polygenic risk score |
title_sort | prostate cancer risk prediction using a polygenic risk score |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553910/ https://www.ncbi.nlm.nih.gov/pubmed/33051487 http://dx.doi.org/10.1038/s41598-020-74172-z |
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