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Eye-brain connections revealed by multimodal retinal and brain imaging genetics

Author

Listed:
  • Bingxin Zhao

    (University of Pennsylvania
    Purdue University
    University of Pennsylvania
    University of Pennsylvania)

  • Yujue Li

    (Purdue University)

  • Zirui Fan

    (University of Pennsylvania)

  • Zhenyi Wu

    (Purdue University)

  • Juan Shu

    (Purdue University)

  • Xiaochen Yang

    (Purdue University)

  • Yilin Yang

    (University of Pennsylvania)

  • Xifeng Wang

    (University of North Carolina at Chapel Hill)

  • Bingxuan Li

    (Purdue University)

  • Xiyao Wang

    (Purdue University)

  • Carlos Copana

    (Purdue University)

  • Yue Yang

    (University of North Carolina at Chapel Hill)

  • Jinjie Lin

    (Yale University)

  • Yun Li

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Jason L. Stein

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Joan M. O’Brien

    (University of Pennsylvania
    Penn Medicine Center for Ophthalmic Genetics in Complex Diseases)

  • Tengfei Li

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

  • Hongtu Zhu

    (University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill
    University of North Carolina at Chapel Hill)

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.

Suggested Citation

  • Bingxin Zhao & Yujue Li & Zirui Fan & Zhenyi Wu & Juan Shu & Xiaochen Yang & Yilin Yang & Xifeng Wang & Bingxuan Li & Xiyao Wang & Carlos Copana & Yue Yang & Jinjie Lin & Yun Li & Jason L. Stein & Joa, 2024. "Eye-brain connections revealed by multimodal retinal and brain imaging genetics," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50309-w
    DOI: 10.1038/s41467-024-50309-w
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