Network analysis reveals rare disease signatures across multiple levels of biological organization

Despite the clear causal relationship between genotype and phenotype in rare diseases, identifying the pathobiological mechanisms at various levels of biological organization remains a practical and conceptual challenge. Here, the authors introduce a network approach for evaluating the impact of rar...

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Auteurs principaux:	Pisanu Buphamalai, Tomislav Kokotovic, Vanja Nagy, Jörg Menche
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2021
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/45ac36fef3284a0c8a60f92f22f0bb0f
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spelling	oai:doaj.org-article:45ac36fef3284a0c8a60f92f22f0bb0f2021-11-14T12:35:25ZNetwork analysis reveals rare disease signatures across multiple levels of biological organization10.1038/s41467-021-26674-12041-1723https://doaj.org/article/45ac36fef3284a0c8a60f92f22f0bb0f2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-26674-1https://doaj.org/toc/2041-1723Despite the clear causal relationship between genotype and phenotype in rare diseases, identifying the pathobiological mechanisms at various levels of biological organization remains a practical and conceptual challenge. Here, the authors introduce a network approach for evaluating the impact of rare gene defects across biological scales.Pisanu BuphamalaiTomislav KokotovicVanja NagyJörg MencheNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Pisanu Buphamalai Tomislav Kokotovic Vanja Nagy Jörg Menche Network analysis reveals rare disease signatures across multiple levels of biological organization
description	Despite the clear causal relationship between genotype and phenotype in rare diseases, identifying the pathobiological mechanisms at various levels of biological organization remains a practical and conceptual challenge. Here, the authors introduce a network approach for evaluating the impact of rare gene defects across biological scales.
format	article
author	Pisanu Buphamalai Tomislav Kokotovic Vanja Nagy Jörg Menche
author_facet	Pisanu Buphamalai Tomislav Kokotovic Vanja Nagy Jörg Menche
author_sort	Pisanu Buphamalai
title	Network analysis reveals rare disease signatures across multiple levels of biological organization
title_short	Network analysis reveals rare disease signatures across multiple levels of biological organization
title_full	Network analysis reveals rare disease signatures across multiple levels of biological organization
title_fullStr	Network analysis reveals rare disease signatures across multiple levels of biological organization
title_full_unstemmed	Network analysis reveals rare disease signatures across multiple levels of biological organization
title_sort	network analysis reveals rare disease signatures across multiple levels of biological organization
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/45ac36fef3284a0c8a60f92f22f0bb0f
work_keys_str_mv	AT pisanubuphamalai networkanalysisrevealsrarediseasesignaturesacrossmultiplelevelsofbiologicalorganization AT tomislavkokotovic networkanalysisrevealsrarediseasesignaturesacrossmultiplelevelsofbiologicalorganization AT vanjanagy networkanalysisrevealsrarediseasesignaturesacrossmultiplelevelsofbiologicalorganization AT jorgmenche networkanalysisrevealsrarediseasesignaturesacrossmultiplelevelsofbiologicalorganization
_version_	1718429103074312192

Network analysis reveals rare disease signatures across multiple levels of biological organization

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