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Brain age prediction using deep learning uncovers associated sequence variants

Crossref DOI link: https://doi.org/10.1038/s41467-019-13163-9

Published Online: 2019-11-27

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jonsson, B. A. https://orcid.org/0000-0002-5401-5940
Bjornsdottir, G. https://orcid.org/0000-0002-8100-0306
Thorgeirsson, T. E. https://orcid.org/0000-0002-5149-7040
Ellingsen, L. M. https://orcid.org/0000-0003-2139-0979
Walters, G. Bragi https://orcid.org/0000-0002-5415-6487
Gudbjartsson, D. F. https://orcid.org/0000-0002-5222-9857
Stefansson, H. https://orcid.org/0000-0002-9331-6666
Stefansson, K. https://orcid.org/0000-0003-1676-864X
Ulfarsson, M. O. https://orcid.org/0000-0002-0461-040X
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Text and Data Mining valid from 2019-11-27

Version of Record valid from 2019-11-27
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Article History

Received: 2 April 2019

Accepted: 21 October 2019

First Online: 27 November 2019

Competing interests

: B.A.J., G.B., T.T., G.B.W., D.F.G., H.S., K.S., and M.O.U. are employed by deCODE genetics/Amgen, Inc. L.M.E. declares no competing interests.