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research article

The genetic architecture of multimodal human brain age

Wen, Junhao
•
Zhao, Bingxin
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Yang, Zhijian
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March 23, 2024
Nature Communications

The complex biological mechanisms underlying human brain aging remain incompletely understood. This study investigated the genetic architecture of three brain age gaps (BAG) derived from gray matter volume (GM-BAG), white matter microstructure (WM-BAG), and functional connectivity (FC-BAG). We identified sixteen genomic loci that reached genome-wide significance (P-value < 5x10(-8)). A gene-drug-disease network highlighted genes linked to GM-BAG for treating neurodegenerative and neuropsychiatric disorders and WM-BAG genes for cancer therapy. GM-BAG displayed the most pronounced heritability enrichment in genetic variants within conserved regions. Oligodendrocytes and astrocytes, but not neurons, exhibited notable heritability enrichment in WM and FC-BAG, respectively. Mendelian randomization identified potential causal effects of several chronic diseases on brain aging, such as type 2 diabetes on GM-BAG and AD on WM-BAG. Our results provide insights into the genetics of human brain aging, with clinical implications for potential lifestyle and therapeutic interventions. All results are publicly available at https://labs.loni.usc.edu/medicine.

  • Details
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Type
research article
DOI
10.1038/s41467-024-46796-6
Web of Science ID

WOS:001190084300021

Author(s)
Wen, Junhao
•
Zhao, Bingxin
•
Yang, Zhijian
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Erus, Guray
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Skampardoni, Ioanna
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Mamourian, Elizabeth
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Cui, Yuhan
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Hwang, Gyujoon
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Bao, Jingxuan
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Boquet-Pujadas, Aleix  
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Date Issued

2024-03-23

Publisher

Nature Portfolio

Published in
Nature Communications
Volume

15

Issue

1

Article Number

2604

Subjects

Genome-Wide Association

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Mendelian Randomization

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Partitioning Heritability

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Alzheimers

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Resource

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Variants

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Disease

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Bias

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Annotation

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Inference

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIB  
FunderGrant Number

U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)

RF1 AG054409

Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California - NIA

Available on Infoscience
April 17, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/207266
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