A multiomic network approach uncovers disease modifying mechanisms of inborn errors of metabolism
Aaron S. Bender, Pablo Ranea‐Robles, Evan G. Williams, Mina Mirzaian, J. Alexander Heimel, Christiaan Nicolaas Levelt, Ronald J. A. Wanders, Johannes M. F. G. Aerts, Jun Zhu, Johan H. Auwerx, Sander M. Houten, Carmen Argmann
The paper identifies modifier pathways for inborn errors of metabolism using multiomic data and gene regulatory networks from healthy populations.
Journal of Inherited Metabolic Disease · May 30, 2025Peer-reviewedGenetics