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Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank.
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.
Afiliação
  • Zhao B; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Li Y; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.
  • Fan Z; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.
  • Wu Z; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Shu J; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.
  • Yang X; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.
  • Yang Y; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.
  • Wang X; Department of Computer and Information Science and Electrical and Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Li B; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Wang X; Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA.
  • Copana C; Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA.
  • Yang Y; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.
  • Lin J; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Li Y; Yale School of Management, Yale University, New Haven, CT 06511, USA.
  • Stein JL; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • O'Brien JM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Li T; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Zhu H; UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
medRxiv ; 2023 Feb 17.
Article em En | MEDLINE | ID: mdl-36824893
ABSTRACT
As an anatomical extension of the brain, the retina of the eye is synaptically connected to the visual cortex, establishing physiological connections between the eye and the brain. Despite the unique opportunity retinal structures offer for assessing brain disorders, less is known about their relationship to brain structure and function. Here we present a systematic cross-organ genetic architecture analysis of eye-brain connections using retina and brain imaging endophenotypes. Novel phenotypic and genetic links were identified between retinal imaging biomarkers and brain structure and function measures derived from multimodal magnetic resonance imaging (MRI), many of which were involved in the visual pathways, including the primary visual cortex. In 65 genomic regions, retinal imaging biomarkers shared genetic influences with brain diseases and complex traits, 18 showing more genetic overlaps with brain MRI traits. Mendelian randomization suggests that retinal structures have bidirectional genetic causal links with neurological and neuropsychiatric disorders, such as Alzheimer's disease. Overall, cross-organ imaging genetics reveals a genetic basis for eye-brain connections, suggesting that the retinal images can elucidate genetic risk factors for brain disorders and disease-related changes in intracranial structure and function.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos