Nature Communications (Nov 2019)

Brain age prediction using deep learning uncovers associated sequence variants

  • B. A. Jonsson,
  • G. Bjornsdottir,
  • T. E. Thorgeirsson,
  • L. M. Ellingsen,
  • G. Bragi Walters,
  • D. F. Gudbjartsson,
  • H. Stefansson,
  • K. Stefansson,
  • M. O. Ulfarsson

DOI
https://doi.org/10.1038/s41467-019-13163-9
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 10

Abstract

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Machine learning algorithms can be trained to estimate age from brain structural MRI. Here, the authors introduce a new deep-learning-based age prediction approach, and then carry out a GWAS of the difference between predicted and chronological age, revealing two associated variants.