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The Genetic Architecture of Multimodal Human Brain Age

J. Wen, B. Zhao, Z. Yang, G. Erus, I. Skampardoni, E. Mamourian, Y. Cui, G. Hwang, J. Bao, A. Boquet-Pujadas, Z. Zhou, Y. Veturi, M.D. Ritchie, H. Shou, P.M. Thompson, L. Shen, A.W. Toga, C. Davatzikos

Nature Communications, vol. 15, paper no. 2604, 15 p., March 23, 2024.


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 < 5×10−8). 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.

@ARTICLE(http://bigwww.epfl.ch/publications/wen2401.html,
AUTHOR="Wen, J. and Zhao, B. and Yang, Z. and Erus, G. and Skampardoni,
	I. and Mamourian, E. and Cui, Y. and Hwang, G. and Bao, J. and
	Boquet-Pujadas, A. and Zhou, Z. and Veturi, Y. and Ritchie, M.D. and
	Shou, H. and Thompson, P.M. and Shen, L. and Toga, A.W. and
	Davatzikos, C.",
TITLE="The Genetic Architecture of Multimodal Human Brain Age",
JOURNAL="Nature Communications",
YEAR="2024",
volume="15",
number="2604",
pages="",
month="March 23,",
note="paper no.\ 2604")

© 2024 The Author(s). Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from The Author(s). This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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