Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts
While genetic loci shared between cancer types have been identified, cross-cancer relationships for polygenic risk scores have not been well studied. Here, the authors have developed polygenic risk scores for 16 cancers in two large cohorts and identified positive and inverse cross-cancer associatio...
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Nature Portfolio
2021
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oai:doaj.org-article:c8c7f06feddc43b4892e0628726c8ee82021-12-02T14:11:09ZCross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts10.1038/s41467-021-21288-z2041-1723https://doaj.org/article/c8c7f06feddc43b4892e0628726c8ee82021-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21288-zhttps://doaj.org/toc/2041-1723While genetic loci shared between cancer types have been identified, cross-cancer relationships for polygenic risk scores have not been well studied. Here, the authors have developed polygenic risk scores for 16 cancers in two large cohorts and identified positive and inverse cross-cancer associations.Rebecca E. GraffTaylor B. CavazosKhanh K. ThaiLinda KachuriSara R. RashkinJoshua D. HoffmanStacey E. AlexeeffMaruta BlatchinsTravis J. MeyersLancelote LeongCaroline G. TaiNima C. EmamiDouglas A. CorleyLawrence H. KushiElad ZivStephen K. Van Den EedenEric JorgensonThomas J. HoffmannLaurel A. HabelJohn S. WitteLori C. SakodaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021) |
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Science Q |
spellingShingle |
Science Q Rebecca E. Graff Taylor B. Cavazos Khanh K. Thai Linda Kachuri Sara R. Rashkin Joshua D. Hoffman Stacey E. Alexeeff Maruta Blatchins Travis J. Meyers Lancelote Leong Caroline G. Tai Nima C. Emami Douglas A. Corley Lawrence H. Kushi Elad Ziv Stephen K. Van Den Eeden Eric Jorgenson Thomas J. Hoffmann Laurel A. Habel John S. Witte Lori C. Sakoda Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts |
description |
While genetic loci shared between cancer types have been identified, cross-cancer relationships for polygenic risk scores have not been well studied. Here, the authors have developed polygenic risk scores for 16 cancers in two large cohorts and identified positive and inverse cross-cancer associations. |
format |
article |
author |
Rebecca E. Graff Taylor B. Cavazos Khanh K. Thai Linda Kachuri Sara R. Rashkin Joshua D. Hoffman Stacey E. Alexeeff Maruta Blatchins Travis J. Meyers Lancelote Leong Caroline G. Tai Nima C. Emami Douglas A. Corley Lawrence H. Kushi Elad Ziv Stephen K. Van Den Eeden Eric Jorgenson Thomas J. Hoffmann Laurel A. Habel John S. Witte Lori C. Sakoda |
author_facet |
Rebecca E. Graff Taylor B. Cavazos Khanh K. Thai Linda Kachuri Sara R. Rashkin Joshua D. Hoffman Stacey E. Alexeeff Maruta Blatchins Travis J. Meyers Lancelote Leong Caroline G. Tai Nima C. Emami Douglas A. Corley Lawrence H. Kushi Elad Ziv Stephen K. Van Den Eeden Eric Jorgenson Thomas J. Hoffmann Laurel A. Habel John S. Witte Lori C. Sakoda |
author_sort |
Rebecca E. Graff |
title |
Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts |
title_short |
Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts |
title_full |
Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts |
title_fullStr |
Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts |
title_full_unstemmed |
Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts |
title_sort |
cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/c8c7f06feddc43b4892e0628726c8ee8 |
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