The genetic architecture of multimodal human brain age

Junhao Wen (), Bingxin Zhao, Zhijian Yang, Guray Erus, Ioanna Skampardoni, Elizabeth Mamourian, Yuhan Cui, Gyujoon Hwang, Jingxuan Bao, Aleix Boquet-Pujadas, Zhen Zhou, Yogasudha Veturi, Marylyn D. Ritchie, Haochang Shou, Paul M. Thompson, Li Shen, Arthur W. Toga and Christos Davatzikos
Additional contact information
Junhao Wen: University of Southern California
Bingxin Zhao: University of Pennsylvania
Zhijian Yang: University of Pennsylvania
Guray Erus: University of Pennsylvania
Ioanna Skampardoni: University of Pennsylvania
Elizabeth Mamourian: University of Pennsylvania
Yuhan Cui: University of Pennsylvania
Gyujoon Hwang: University of Pennsylvania
Jingxuan Bao: University of Pennsylvania Perelman School of Medicine
Aleix Boquet-Pujadas: EPFL
Zhen Zhou: University of Pennsylvania
Yogasudha Veturi: Penn State University
Marylyn D. Ritchie: University of Pennsylvania
Haochang Shou: University of Pennsylvania
Paul M. Thompson: University of Southern California
Li Shen: University of Pennsylvania Perelman School of Medicine
Arthur W. Toga: University of Southern California
Christos Davatzikos: University of Pennsylvania

Nature Communications, 2024, vol. 15, issue 1, 1-15

Abstract: Abstract 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

Date: 2024
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DOI: 10.1038/s41467-024-46796-6

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