Discovering genetic interactions bridging pathways in genome-wide association studies

Genetic interactions may contribute to phenotypic traits but are challenging to decipher. Here, the authors develop BridGE, a computational approach for identifying pathways connected by genetic interactions from GWAS data.

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Autores principales:	Gang Fang, Wen Wang, Vanja Paunic, Hamed Heydari, Michael Costanzo, Xiaoye Liu, Xiaotong Liu, Benjamin VanderSluis, Benjamin Oately, Michael Steinbach, Brian Van Ness, Eric E. Schadt, Nathan D. Pankratz, Charles Boone, Vipin Kumar, Chad L. Myers
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/5820ce4d5cb54b95a38d7f821ba26707
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spelling	oai:doaj.org-article:5820ce4d5cb54b95a38d7f821ba267072021-12-02T16:58:15ZDiscovering genetic interactions bridging pathways in genome-wide association studies10.1038/s41467-019-12131-72041-1723https://doaj.org/article/5820ce4d5cb54b95a38d7f821ba267072019-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-12131-7https://doaj.org/toc/2041-1723Genetic interactions may contribute to phenotypic traits but are challenging to decipher. Here, the authors develop BridGE, a computational approach for identifying pathways connected by genetic interactions from GWAS data.Gang FangWen WangVanja PaunicHamed HeydariMichael CostanzoXiaoye LiuXiaotong LiuBenjamin VanderSluisBenjamin OatelyMichael SteinbachBrian Van NessEric E. SchadtNathan D. PankratzCharles BooneVipin KumarChad L. MyersNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-18 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gang Fang Wen Wang Vanja Paunic Hamed Heydari Michael Costanzo Xiaoye Liu Xiaotong Liu Benjamin VanderSluis Benjamin Oately Michael Steinbach Brian Van Ness Eric E. Schadt Nathan D. Pankratz Charles Boone Vipin Kumar Chad L. Myers Discovering genetic interactions bridging pathways in genome-wide association studies
description	Genetic interactions may contribute to phenotypic traits but are challenging to decipher. Here, the authors develop BridGE, a computational approach for identifying pathways connected by genetic interactions from GWAS data.
format	article
author	Gang Fang Wen Wang Vanja Paunic Hamed Heydari Michael Costanzo Xiaoye Liu Xiaotong Liu Benjamin VanderSluis Benjamin Oately Michael Steinbach Brian Van Ness Eric E. Schadt Nathan D. Pankratz Charles Boone Vipin Kumar Chad L. Myers
author_facet	Gang Fang Wen Wang Vanja Paunic Hamed Heydari Michael Costanzo Xiaoye Liu Xiaotong Liu Benjamin VanderSluis Benjamin Oately Michael Steinbach Brian Van Ness Eric E. Schadt Nathan D. Pankratz Charles Boone Vipin Kumar Chad L. Myers
author_sort	Gang Fang
title	Discovering genetic interactions bridging pathways in genome-wide association studies
title_short	Discovering genetic interactions bridging pathways in genome-wide association studies
title_full	Discovering genetic interactions bridging pathways in genome-wide association studies
title_fullStr	Discovering genetic interactions bridging pathways in genome-wide association studies
title_full_unstemmed	Discovering genetic interactions bridging pathways in genome-wide association studies
title_sort	discovering genetic interactions bridging pathways in genome-wide association studies
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/5820ce4d5cb54b95a38d7f821ba26707
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Discovering genetic interactions bridging pathways in genome-wide association studies

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