The quest for the missing links in fatty liver genetics: Deep learning to the rescue!

Journal: Cell reports. Medicine
Published Date: Dec 20, 2022

Abstract

Park, MacLean, et al. conduct an exome-wide association study of liver fat content in the Penn Medicine BioBank. By leveraging machine learning-assisted analysis of clinical CT scans to quantify steatosis, they uncover previously undescribed liver fat-associated genetic variants.

Authors

  • Sami Qadri
    University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland.
  • Hannele Yki-Järvinen
    University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland. Electronic address: hannele.yki-jarvinen@helsinki.fi.

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