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Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts

Deciphering the shared genetic basis of distinct cancers has the potential to elucidate carcinogenic mechanisms and inform broadly applicable risk assessment efforts. Here, we undertake genome-wide association studies (GWAS) and comprehensive evaluations of heritability and pleiotropy across 18 canc...

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Autores principales: Rashkin, Sara R., Graff, Rebecca E., Kachuri, Linda, Thai, Khanh K., Alexeeff, Stacey E., Blatchins, Maruta A., Cavazos, Taylor B., Corley, Douglas A., Emami, Nima C., Hoffman, Joshua D., Jorgenson, Eric, Kushi, Lawrence H., Meyers, Travis J., Van Den Eeden, Stephen K., Ziv, Elad, Habel, Laurel A., Hoffmann, Thomas J., Sakoda, Lori C., Witte, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473862/
https://www.ncbi.nlm.nih.gov/pubmed/32887889
http://dx.doi.org/10.1038/s41467-020-18246-6
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author Rashkin, Sara R.
Graff, Rebecca E.
Kachuri, Linda
Thai, Khanh K.
Alexeeff, Stacey E.
Blatchins, Maruta A.
Cavazos, Taylor B.
Corley, Douglas A.
Emami, Nima C.
Hoffman, Joshua D.
Jorgenson, Eric
Kushi, Lawrence H.
Meyers, Travis J.
Van Den Eeden, Stephen K.
Ziv, Elad
Habel, Laurel A.
Hoffmann, Thomas J.
Sakoda, Lori C.
Witte, John S.
author_facet Rashkin, Sara R.
Graff, Rebecca E.
Kachuri, Linda
Thai, Khanh K.
Alexeeff, Stacey E.
Blatchins, Maruta A.
Cavazos, Taylor B.
Corley, Douglas A.
Emami, Nima C.
Hoffman, Joshua D.
Jorgenson, Eric
Kushi, Lawrence H.
Meyers, Travis J.
Van Den Eeden, Stephen K.
Ziv, Elad
Habel, Laurel A.
Hoffmann, Thomas J.
Sakoda, Lori C.
Witte, John S.
author_sort Rashkin, Sara R.
collection PubMed
description Deciphering the shared genetic basis of distinct cancers has the potential to elucidate carcinogenic mechanisms and inform broadly applicable risk assessment efforts. Here, we undertake genome-wide association studies (GWAS) and comprehensive evaluations of heritability and pleiotropy across 18 cancer types in two large, population-based cohorts: the UK Biobank (408,786 European ancestry individuals; 48,961 cancer cases) and the Kaiser Permanente Genetic Epidemiology Research on Adult Health and Aging cohorts (66,526 European ancestry individuals; 16,001 cancer cases). The GWAS detect 21 genome-wide significant associations independent of previously reported results. Investigations of pleiotropy identify 12 cancer pairs exhibiting either positive or negative genetic correlations; 25 pleiotropic loci; and 100 independent pleiotropic variants, many of which are regulatory elements and/or influence cross-tissue gene expression. Our findings demonstrate widespread pleiotropy and offer further insight into the complex genetic architecture of cross-cancer susceptibility.
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spelling pubmed-74738622020-09-16 Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts Rashkin, Sara R. Graff, Rebecca E. Kachuri, Linda Thai, Khanh K. Alexeeff, Stacey E. Blatchins, Maruta A. Cavazos, Taylor B. Corley, Douglas A. Emami, Nima C. Hoffman, Joshua D. Jorgenson, Eric Kushi, Lawrence H. Meyers, Travis J. Van Den Eeden, Stephen K. Ziv, Elad Habel, Laurel A. Hoffmann, Thomas J. Sakoda, Lori C. Witte, John S. Nat Commun Article Deciphering the shared genetic basis of distinct cancers has the potential to elucidate carcinogenic mechanisms and inform broadly applicable risk assessment efforts. Here, we undertake genome-wide association studies (GWAS) and comprehensive evaluations of heritability and pleiotropy across 18 cancer types in two large, population-based cohorts: the UK Biobank (408,786 European ancestry individuals; 48,961 cancer cases) and the Kaiser Permanente Genetic Epidemiology Research on Adult Health and Aging cohorts (66,526 European ancestry individuals; 16,001 cancer cases). The GWAS detect 21 genome-wide significant associations independent of previously reported results. Investigations of pleiotropy identify 12 cancer pairs exhibiting either positive or negative genetic correlations; 25 pleiotropic loci; and 100 independent pleiotropic variants, many of which are regulatory elements and/or influence cross-tissue gene expression. Our findings demonstrate widespread pleiotropy and offer further insight into the complex genetic architecture of cross-cancer susceptibility. Nature Publishing Group UK 2020-09-04 /pmc/articles/PMC7473862/ /pubmed/32887889 http://dx.doi.org/10.1038/s41467-020-18246-6 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rashkin, Sara R.
Graff, Rebecca E.
Kachuri, Linda
Thai, Khanh K.
Alexeeff, Stacey E.
Blatchins, Maruta A.
Cavazos, Taylor B.
Corley, Douglas A.
Emami, Nima C.
Hoffman, Joshua D.
Jorgenson, Eric
Kushi, Lawrence H.
Meyers, Travis J.
Van Den Eeden, Stephen K.
Ziv, Elad
Habel, Laurel A.
Hoffmann, Thomas J.
Sakoda, Lori C.
Witte, John S.
Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts
title Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts
title_full Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts
title_fullStr Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts
title_full_unstemmed Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts
title_short Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts
title_sort pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473862/
https://www.ncbi.nlm.nih.gov/pubmed/32887889
http://dx.doi.org/10.1038/s41467-020-18246-6
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