A genetically informed brain atlas for enhancing brain imaging genomics

dc.contributor.authorBao, Jingxuan
dc.contributor.authorWen, Junhao
dc.contributor.authorChang, Changgee
dc.contributor.authorMu, Shizhuo
dc.contributor.authorChen, Jiong
dc.contributor.authorShivakumar, Manu
dc.contributor.authorCui, Yuhan
dc.contributor.authorErus, Guray
dc.contributor.authorYang, Zhijian
dc.contributor.authorYang, Shu
dc.contributor.authorWen, Zixuan
dc.contributor.authorThe Alzheimer’s Disease Neuroimaging Initiative
dc.contributor.authorZhao, Yize
dc.contributor.authorKim, Dokyoon
dc.contributor.authorDuong-Tran, Duy
dc.contributor.authorSaykin, Andrew J.
dc.contributor.authorZhao, Bingxin
dc.contributor.authorDavatzikos, Christos
dc.contributor.authorLong, Qi
dc.contributor.authorShen, Li
dc.contributor.departmentBiostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
dc.date.accessioned2025-05-15T14:55:35Z
dc.date.available2025-05-15T14:55:35Z
dc.date.issued2025-04-14
dc.description.abstractBrain 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.
dc.eprint.versionFinal published version
dc.identifier.citationBao J, Wen J, Chang C, et al. A genetically informed brain atlas for enhancing brain imaging genomics. Nat Commun. 2025;16(1):3524. Published 2025 Apr 14. doi:10.1038/s41467-025-57636-6
dc.identifier.urihttps://hdl.handle.net/1805/48167
dc.language.isoen_US
dc.publisherSpringer Nature
dc.relation.isversionof10.1038/s41467-025-57636-6
dc.relation.journalNature Communications
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcePMC
dc.subjectGenetics of the nervous system
dc.subjectStatistical methods
dc.subjectQuantitative trait
dc.titleA genetically informed brain atlas for enhancing brain imaging genomics
dc.typeArticle
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