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Eye-brain connections revealed by multimodal retinal and brain imaging genetics.
Zhao, Bingxin; Li, Yujue; Fan, Zirui; Wu, Zhenyi; Shu, Juan; Yang, Xiaochen; Yang, Yilin; Wang, Xifeng; Li, Bingxuan; Wang, Xiyao; Copana, Carlos; Yang, Yue; Lin, Jinjie; Li, Yun; Stein, Jason L; O'Brien, Joan M; Li, Tengfei; Zhu, Hongtu.
Afiliación
  • Zhao B; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, 19104, USA. bxzhao@wharton.upenn.edu.
  • Li Y; Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA. bxzhao@wharton.upenn.edu.
  • Fan Z; Applied Mathematics and Computational Science Graduate Group, University of Pennsylvania, Philadelphia, PA, 19104, USA. bxzhao@wharton.upenn.edu.
  • Wu Z; Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. bxzhao@wharton.upenn.edu.
  • Shu J; Penn Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. bxzhao@wharton.upenn.edu.
  • Yang X; Population Aging Research Center, University of Pennsylvania, Philadelphia, PA, 19104, USA. bxzhao@wharton.upenn.edu.
  • Yang Y; Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, 19104, USA. bxzhao@wharton.upenn.edu.
  • Wang X; Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA.
  • Li B; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Wang X; Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA.
  • Copana C; Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA.
  • Yang Y; Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA.
  • Lin J; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Li Y; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
  • Stein JL; Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.
  • O'Brien JM; Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.
  • Li T; Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA.
  • Zhu H; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Nat Commun ; 15(1): 6064, 2024 Jul 18.
Article en En | MEDLINE | ID: mdl-39025851
ABSTRACT
The retina, an anatomical extension of the brain, forms physiological connections with the visual cortex of the brain. Although retinal structures offer a unique opportunity to assess brain disorders, their relationship to brain structure and function is not well understood. In this study, we conducted a systematic cross-organ genetic architecture analysis of eye-brain connections using retinal and brain imaging endophenotypes. We identified novel phenotypic and genetic links between retinal imaging biomarkers and brain structure and function measures from multimodal magnetic resonance imaging (MRI), with many associations involving the primary visual cortex and visual pathways. Retinal imaging biomarkers shared genetic influences with brain diseases and complex traits in 65 genomic regions, with 18 showing genetic overlap with brain MRI traits. Mendelian randomization suggests bidirectional genetic causal links between retinal structures and neurological and neuropsychiatric disorders, such as Alzheimer's disease. Overall, our findings reveal the genetic basis for eye-brain connections, suggesting that retinal images can help uncover genetic risk factors for brain disorders and disease-related changes in intracranial structure and function.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Retina / Encéfalo / Imagen por Resonancia Magnética Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Retina / Encéfalo / Imagen por Resonancia Magnética Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos