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Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank

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 relati...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949187/
https://www.ncbi.nlm.nih.gov/pubmed/36824893
http://dx.doi.org/10.1101/2023.02.16.23286035
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author 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
author_facet 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
author_sort Zhao, Bingxin
collection PubMed
description 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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spelling pubmed-99491872023-02-24 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 medRxiv Article 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. Cold Spring Harbor Laboratory 2023-02-17 /pmc/articles/PMC9949187/ /pubmed/36824893 http://dx.doi.org/10.1101/2023.02.16.23286035 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
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
Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank
title Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank
title_full Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank
title_fullStr Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank
title_full_unstemmed Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank
title_short Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank
title_sort eye-brain connections revealed by multimodal retinal and brain imaging genetics in the uk biobank
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949187/
https://www.ncbi.nlm.nih.gov/pubmed/36824893
http://dx.doi.org/10.1101/2023.02.16.23286035
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