Predictive network analysis identifies JMJD6 and other potential key drivers in Alzheimer’s disease

Predictive network analysis identifies JMJD6 and other potential key drivers in Alzheimer’s disease

Abstract Despite decades of genetic studies on late-onset Alzheimer’s disease, the underlying molecular mechanisms remain unclear. To better comprehend its complex etiology, we use an integrative approach to build robust predictive (causal) network models using two large human multi-omics datasets....

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Bibliographic Details
Main Authors: Julie P. Merchant, Kuixi Zhu, Marc Y. R. Henrion, Syed S. A. Zaidi, Branden Lau, Sara Moein, Melissa L. Alamprese, Richard V. Pearse, David A. Bennett, Nilüfer Ertekin-Taner, Tracy L. Young-Pearse, Rui Chang
Format: Article
Language:English
Published: Nature Portfolio 2023-05-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-023-04791-5

Internet

https://doi.org/10.1038/s42003-023-04791-5

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