Modeling regulatory network topology improves genome-wide analyses of complex human traits

Gene regulatory networks are a useful means of inferring functional interactions from large-scale genomic data. Here, the authors develop a Bayesian framework integrating GWAS summary statistics with gene regulatory networks to identify genetic enrichments and associations simultaneously.

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Détails bibliographiques
Auteurs principaux:	Xiang Zhu, Zhana Duren, Wing Hung Wong
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2021
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/3f97afd99a364fa6b7fc3dfd5dfbd711
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id	oai:doaj.org-article:3f97afd99a364fa6b7fc3dfd5dfbd711
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spelling	oai:doaj.org-article:3f97afd99a364fa6b7fc3dfd5dfbd7112021-12-02T15:43:06ZModeling regulatory network topology improves genome-wide analyses of complex human traits10.1038/s41467-021-22588-02041-1723https://doaj.org/article/3f97afd99a364fa6b7fc3dfd5dfbd7112021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22588-0https://doaj.org/toc/2041-1723Gene regulatory networks are a useful means of inferring functional interactions from large-scale genomic data. Here, the authors develop a Bayesian framework integrating GWAS summary statistics with gene regulatory networks to identify genetic enrichments and associations simultaneously.Xiang ZhuZhana DurenWing Hung WongNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Xiang Zhu Zhana Duren Wing Hung Wong Modeling regulatory network topology improves genome-wide analyses of complex human traits
description	Gene regulatory networks are a useful means of inferring functional interactions from large-scale genomic data. Here, the authors develop a Bayesian framework integrating GWAS summary statistics with gene regulatory networks to identify genetic enrichments and associations simultaneously.
format	article
author	Xiang Zhu Zhana Duren Wing Hung Wong
author_facet	Xiang Zhu Zhana Duren Wing Hung Wong
author_sort	Xiang Zhu
title	Modeling regulatory network topology improves genome-wide analyses of complex human traits
title_short	Modeling regulatory network topology improves genome-wide analyses of complex human traits
title_full	Modeling regulatory network topology improves genome-wide analyses of complex human traits
title_fullStr	Modeling regulatory network topology improves genome-wide analyses of complex human traits
title_full_unstemmed	Modeling regulatory network topology improves genome-wide analyses of complex human traits
title_sort	modeling regulatory network topology improves genome-wide analyses of complex human traits
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3f97afd99a364fa6b7fc3dfd5dfbd711
work_keys_str_mv	AT xiangzhu modelingregulatorynetworktopologyimprovesgenomewideanalysesofcomplexhumantraits AT zhanaduren modelingregulatorynetworktopologyimprovesgenomewideanalysesofcomplexhumantraits AT winghungwong modelingregulatorynetworktopologyimprovesgenomewideanalysesofcomplexhumantraits
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Modeling regulatory network topology improves genome-wide analyses of complex human traits

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