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A genetically informed brain atlas for enhancing brain imaging genomics.

Publication ,  Journal Article
Bao, J; Wen, J; Chang, C; Mu, S; Chen, J; Shivakumar, M; Cui, Y; Erus, G; Yang, Z; Yang, S; Wen, Z; Zhao, Y; Kim, D; Duong-Tran, D; Zhao, B ...
Published in: Nat Commun
April 14, 2025

Brain imaging genomics has manifested considerable potential in illuminating the genetic determinants of human brain structure and function. This has propelled us to develop the GIANT (Genetically Informed brAiN aTlas) that accounts for genetic and neuroanatomical variations simultaneously. Integrating voxel-wise heritability and spatial proximity, GIANT clusters brain voxels into genetically informed regions, while retaining fundamental anatomical knowledge. Compared to conventional (non-genetics) brain atlases, GIANT exhibits smaller intra-region variations and larger inter-region variations in terms of voxel-wise heritability. As a result, GIANT yields increased regional SNP heritability, enhanced polygenicity, and its polygenic risk score explains more brain volumetric variation than traditional neuroanatomical brain atlases. We provide extensive validation to GIANT and demonstrate its neuroanatomical validity, confirming its generalizability across populations with diverse genetic ancestries and various brain conditions. Furthermore, we present a comprehensive genetic architecture of the GIANT regions, covering their functional annotation at the molecular levels, their associations with other complex traits/diseases, and the genetic and phenotypic correlations among GIANT-defined imaging endophenotypes. In summary, GIANT constitutes a brain atlas that captures the complexity of genetic and neuroanatomical heterogeneity, thereby enhancing the discovery power and applicability of imaging genomics investigations in biomedical science.

Duke Scholars

Published In

Nat Commun

DOI

EISSN

2041-1723

Publication Date

April 14, 2025

Volume

16

Issue

1

Start / End Page

3524

Location

England

Related Subject Headings

  • Polymorphism, Single Nucleotide
  • Neuroimaging
  • Multifactorial Inheritance
  • Male
  • Magnetic Resonance Imaging
  • Imaging Genomics
  • Humans
  • Genomics
  • Female
  • Brain Mapping
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Bao, J., Wen, J., Chang, C., Mu, S., Chen, J., Shivakumar, M., … Shen, L. (2025). A genetically informed brain atlas for enhancing brain imaging genomics. Nat Commun, 16(1), 3524. https://doi.org/10.1038/s41467-025-57636-6
Bao, Jingxuan, Junhao Wen, Changgee Chang, Shizhuo Mu, Jiong Chen, Manu Shivakumar, Yuhan Cui, et al. “A genetically informed brain atlas for enhancing brain imaging genomics.Nat Commun 16, no. 1 (April 14, 2025): 3524. https://doi.org/10.1038/s41467-025-57636-6.
Bao J, Wen J, Chang C, Mu S, Chen J, Shivakumar M, et al. A genetically informed brain atlas for enhancing brain imaging genomics. Nat Commun. 2025 Apr 14;16(1):3524.
Bao, Jingxuan, et al. “A genetically informed brain atlas for enhancing brain imaging genomics.Nat Commun, vol. 16, no. 1, Apr. 2025, p. 3524. Pubmed, doi:10.1038/s41467-025-57636-6.
Bao J, Wen J, Chang C, Mu S, Chen J, Shivakumar M, Cui Y, Erus G, Yang Z, Yang S, Wen Z, Alzheimer’s Disease Neuroimaging Initiative, Zhao Y, Kim D, Duong-Tran D, Saykin AJ, Zhao B, Davatzikos C, Long Q, Shen L. A genetically informed brain atlas for enhancing brain imaging genomics. Nat Commun. 2025 Apr 14;16(1):3524.

Published In

Nat Commun

DOI

EISSN

2041-1723

Publication Date

April 14, 2025

Volume

16

Issue

1

Start / End Page

3524

Location

England

Related Subject Headings

  • Polymorphism, Single Nucleotide
  • Neuroimaging
  • Multifactorial Inheritance
  • Male
  • Magnetic Resonance Imaging
  • Imaging Genomics
  • Humans
  • Genomics
  • Female
  • Brain Mapping