A genetically informed brain atlas for enhancing brain imaging genomics.
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| Title: | A genetically informed brain atlas for enhancing brain imaging genomics. |
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| Authors: | Bao J; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.; Graduate Group in Genomics and Computational Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Wen J; Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA.; Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), Department of Radiology, Columbia University, New York, NY, USA.; New York Genome Center (NYGC), New York, NY, USA., Chang C; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA., Mu S; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Chen J; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.; Graduate Group in Bioengineering, University of Pennsylvania, Philadelphia, PA, USA., Shivakumar M; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.; Graduate Group in Genomics and Computational Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Cui Y; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Erus G; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Yang Z; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.; Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA., Yang S; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Wen Z; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.; Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA., Zhao Y; Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA., Kim D; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Duong-Tran D; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.; Department of Mathematics, United States Naval Academy, Annapolis, MD, USA., Saykin AJ; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA., Zhao B; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA., Davatzikos C; Center for AI and Data Science for Integrated Diagnostics (AI2D), Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Long Q; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. qlong@pennmedicine.upenn.edu., Shen L; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA. li.shen@pennmedicine.upenn.edu. |
| Corporate Authors: | Alzheimer’s Disease Neuroimaging Initiative |
| Source: | Nature communications [Nat Commun] 2025 Apr 14; Vol. 16 (1), pp. 3524. Date of Electronic Publication: 2025 Apr 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-025-57636-6 |
