Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms

In prostate cancer, investigating aberrant gene expression may shed light on disease etiology. Here, the authors imputed expression transcriptome-wide for 233,955 European ancestry men, discovering and replicating the associations between prostatic expression for select genes and prostate cancer ris...

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Autores principales:	Nima C. Emami, Linda Kachuri, Travis J. Meyers, Rajdeep Das, Joshua D. Hoffman, Thomas J. Hoffmann, Donglei Hu, Jun Shan, Felix Y. Feng, Elad Ziv, Stephen K. Van Den Eeden, John S. Witte
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ea68863cb6aa42d9926f549fb3fe9771
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spelling	oai:doaj.org-article:ea68863cb6aa42d9926f549fb3fe97712021-12-02T17:32:54ZAssociation of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms10.1038/s41467-019-10808-72041-1723https://doaj.org/article/ea68863cb6aa42d9926f549fb3fe97712019-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10808-7https://doaj.org/toc/2041-1723In prostate cancer, investigating aberrant gene expression may shed light on disease etiology. Here, the authors imputed expression transcriptome-wide for 233,955 European ancestry men, discovering and replicating the associations between prostatic expression for select genes and prostate cancer risk, including the highly prevalent gene fusion partner TMPRSS2. The authors furthermore integrate diverse functional genomic datasets to interpret the epigenetic mechanisms by which the implicated risk variants and genes modulate disease risk.Nima C. EmamiLinda KachuriTravis J. MeyersRajdeep DasJoshua D. HoffmanThomas J. HoffmannDonglei HuJun ShanFelix Y. FengElad ZivStephen K. Van Den EedenJohn S. WitteNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Nima C. Emami Linda Kachuri Travis J. Meyers Rajdeep Das Joshua D. Hoffman Thomas J. Hoffmann Donglei Hu Jun Shan Felix Y. Feng Elad Ziv Stephen K. Van Den Eeden John S. Witte Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
description	In prostate cancer, investigating aberrant gene expression may shed light on disease etiology. Here, the authors imputed expression transcriptome-wide for 233,955 European ancestry men, discovering and replicating the associations between prostatic expression for select genes and prostate cancer risk, including the highly prevalent gene fusion partner TMPRSS2. The authors furthermore integrate diverse functional genomic datasets to interpret the epigenetic mechanisms by which the implicated risk variants and genes modulate disease risk.
format	article
author	Nima C. Emami Linda Kachuri Travis J. Meyers Rajdeep Das Joshua D. Hoffman Thomas J. Hoffmann Donglei Hu Jun Shan Felix Y. Feng Elad Ziv Stephen K. Van Den Eeden John S. Witte
author_facet	Nima C. Emami Linda Kachuri Travis J. Meyers Rajdeep Das Joshua D. Hoffman Thomas J. Hoffmann Donglei Hu Jun Shan Felix Y. Feng Elad Ziv Stephen K. Van Den Eeden John S. Witte
author_sort	Nima C. Emami
title	Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
title_short	Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
title_full	Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
title_fullStr	Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
title_full_unstemmed	Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
title_sort	association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/ea68863cb6aa42d9926f549fb3fe9771
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Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms

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