Multiscale causal networks identify VGF as a key regulator of Alzheimer’s disease

To investigate the molecular foundation of sporadic Alzheimer’s disease (AD), Beckmann et al. constructed multiscale causal networks on a large human AD multi-omics dataset, detecting AD-associated networks and their top predicted regulator, VGF, with extensive validation in the 5xFAD mouse model.

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Détails bibliographiques
Auteurs principaux:	Noam D. Beckmann, Wei-Jye Lin, Minghui Wang, Ariella T. Cohain, Alexander W. Charney, Pei Wang, Weiping Ma, Ying-Chih Wang, Cheng Jiang, Mickael Audrain, Phillip H. Comella, Amanda K. Fakira, Siddharth P. Hariharan, Gillian M. Belbin, Kiran Girdhar, Allan I. Levey, Nicholas T. Seyfried, Eric B. Dammer, Duc Duong, James J. Lah, Jean-Vianney Haure-Mirande, Ben Shackleton, Tomas Fanutza, Robert Blitzer, Eimear Kenny, Jun Zhu, Vahram Haroutunian, Pavel Katsel, Sam Gandy, Zhidong Tu, Michelle E. Ehrlich, Bin Zhang, Stephen R. Salton, Eric E. Schadt
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2020
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/f3a49830ea0b40449d13d63b2ea4d0a8
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Multiscale causal networks identify VGF as a key regulator of Alzheimer’s disease

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