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The genetic architecture of multimodal human brain age

Author

Listed:
  • 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)

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

Suggested Citation

  • 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 & Mary, 2024. "The genetic architecture of multimodal human brain age," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46796-6
    DOI: 10.1038/s41467-024-46796-6
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    References listed on IDEAS

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