Brain age prediction using deep learning uncovers associated sequence variants

Brain age prediction using deep learning uncovers associated sequence variants

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.

Bibliographic Details
Main Authors: B. A. Jonsson, G. Bjornsdottir, T. E. Thorgeirsson, L. M. Ellingsen, G. Bragi Walters, D. F. Gudbjartsson, H. Stefansson, K. Stefansson, M. O. Ulfarsson
Format: Article
Language:English
Published: Nature Publishing Group 2019-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-13163-9
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spelling doaj-213453bfd3e54ce99b57019d4343efca2021-05-11T12:40:56ZengNature Publishing GroupNature Communications2041-17232019-11-0110111010.1038/s41467-019-13163-9Brain age prediction using deep learning uncovers associated sequence variantsB. A. Jonsson0G. Bjornsdottir1T. E. Thorgeirsson2L. M. Ellingsen3G. Bragi Walters4D. F. Gudbjartsson5H. Stefansson6K. Stefansson7M. O. Ulfarsson8deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.University of IcelanddeCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.deCODE Genetics/Amgen, Inc.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.https://doi.org/10.1038/s41467-019-13163-9
collection DOAJ
language English
format Article
sources DOAJ
author B. A. Jonsson
G. Bjornsdottir
T. E. Thorgeirsson
L. M. Ellingsen
G. Bragi Walters
D. F. Gudbjartsson
H. Stefansson
K. Stefansson
M. O. Ulfarsson
spellingShingle B. A. Jonsson
G. Bjornsdottir
T. E. Thorgeirsson
L. M. Ellingsen
G. Bragi Walters
D. F. Gudbjartsson
H. Stefansson
K. Stefansson
M. O. Ulfarsson
Brain age prediction using deep learning uncovers associated sequence variants
Nature Communications
author_facet B. A. Jonsson
G. Bjornsdottir
T. E. Thorgeirsson
L. M. Ellingsen
G. Bragi Walters
D. F. Gudbjartsson
H. Stefansson
K. Stefansson
M. O. Ulfarsson
author_sort B. A. Jonsson
title Brain age prediction using deep learning uncovers associated sequence variants
title_short Brain age prediction using deep learning uncovers associated sequence variants
title_full Brain age prediction using deep learning uncovers associated sequence variants
title_fullStr Brain age prediction using deep learning uncovers associated sequence variants
title_full_unstemmed Brain age prediction using deep learning uncovers associated sequence variants
title_sort brain age prediction using deep learning uncovers associated sequence variants
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-11-01
description 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.
url https://doi.org/10.1038/s41467-019-13163-9
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