TY - JOUR
T1 - A genetically informed brain atlas for enhancing brain imaging genomics
AU - the Alzheimer's Disease Neuroimaging Initiative
AU - Bao, Jingxuan
AU - Wen, Junhao
AU - Chang, Changgee
AU - Mu, Shizhuo
AU - Chen, Jiong
AU - Shivakumar, Manu
AU - Cui, Yuhan
AU - Erus, Guray
AU - Yang, Zhijian
AU - Yang, Shu
AU - Wen, Zixuan
AU - Silverberg, Nina
AU - Masterman, Donna
AU - Masliah, Eliezer
AU - Jackson, Jonathan
AU - Ho, Carole
AU - González, Hector
AU - Bernard, Marie
AU - Barnes, Lisa
AU - Potter, William
AU - Carrillo, Maria
AU - Khachaturian, Zaven
AU - Molchan, Susan
AU - Ryan, Laurie
AU - Hsiao, John K.
AU - Buckholtz, Neil
AU - Snyder, Peter J.
AU - Frank, Richard
AU - Kachaturian, Zaven
AU - Harkins, Kristin
AU - Largent, Emily
AU - Grill, Joshua
AU - Erickson, Claire
AU - Karlawish, Jason
AU - Kaddurah-Daouk, Rima
AU - Lacy, Kaci
AU - Potter, Zoë
AU - Faber, Kelley
AU - Nudelman, Kelly
AU - Apostolova, Liana G.
AU - Craft, Hannah
AU - Risacher, Shannon L.
AU - Jo, Taeho
AU - Foroud, Tatiana M.
AU - Neu, Scott
AU - Crawford, Karen
AU - Trojanowki, J. Q.
AU - Wan, Yang
AU - Brylska, Magdalena
AU - Korecka, Magdalena
AU - Lee, Virginia M.Y.
AU - Franklin, Erin
AU - Morris, John
AU - LoPresti, Brian
AU - Villemagne, Victor
AU - Rabinovici, Gil
AU - Koeppe, Robert A.
AU - Talavera, Sandra
AU - Di Benedetto, Joseph
AU - Ajayi, Adeyinka
AU - Guzman, Vanessa
AU - Thomas, Lisa
AU - Magana, Fabiola
AU - Weisensel, Trinity
AU - Strong, Joe
AU - Germano, Kaori Kubo
AU - Hoang, Isabella
AU - Glittenberg, Matt
AU - Ayo, Omobolanle
AU - Parkins, Shaniya
AU - Thao, Mai Seng
AU - Amaza, Hannatu
AU - Hussen, Kedir Adem
AU - Saito, Naomi
AU - Jenkins, Cecily
AU - Pizzola, Jeremy
AU - Mahboubi, Payam
AU - Adegoke, Olusegun
AU - Ogwang, Sheila
AU - Smith, Stephanie
AU - Hergesheimer, Lindsey
AU - Webb, Caitlin
AU - Shaffer, Elizabeth
AU - Clanton, Taylor
AU - Walter, Sarah
AU - Cabrera, Yuliana
AU - Zimmerman, Caileigh
AU - Robison, Justin
AU - Boatwright, Virginia
AU - Fidell, Andrea
AU - Salazar, Jennifer
AU - Donohue, Michael
AU - Jimenez, Gustavo
AU - Raman, Rema
AU - Rafii, Michael
AU - Kormos, Adrienne
AU - Flenniken, Derek
AU - Ashford, Miriam
AU - Diaz, Adam
AU - Jin, Chengshi
AU - Kwang, Winnie
AU - Miller, Melanie J.
AU - Fockler, Juliet
AU - Sacrey, Diana Truran
AU - Nosheny, Rachel
AU - Conti, Catherine
AU - Montine, Tom
AU - Drake, Erin
AU - Sachdev, Pallavi
AU - Tosun, Duygu
AU - Perrin, Richard J.
AU - Nho, Kwangsik
AU - Green, Robert C.
AU - Harvey, Danielle
AU - Beckett, Laurel
AU - Toga, Arthur W.
AU - Lee, Edward B.
AU - Shaw, Leslie M.
AU - Okonkwo, Ozioma
AU - Rivera-Mindt, Monica
AU - Landau, Susan
AU - Jagust, William
AU - Jack, Clifford R.
AU - Petersen, Ronald
AU - Aisen, Paul
AU - Weiner, Michael
AU - Zhao, Yize
AU - Kim, Dokyoon
AU - Duong-Tran, Duy
AU - Saykin, Andrew J.
AU - Zhao, Bingxin
AU - Davatzikos, Christos
AU - Long, Qi
AU - Shen, Li
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105003385949
U2 - 10.1038/s41467-025-57636-6
DO - 10.1038/s41467-025-57636-6
M3 - Article
C2 - 40229250
AN - SCOPUS:105003385949
SN - 2041-1723
VL - 16
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 3524
ER -