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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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    as
    1. Tian Ge & Chia-Yen Chen & Yang Ni & Yen-Chen Anne Feng & Jordan W. Smoller, 2019. "Polygenic prediction via Bayesian regression and continuous shrinkage priors," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    2. Jackson G. Thorp & Adrian I. Campos & Andrew D. Grotzinger & Zachary F. Gerring & Jiyuan An & Jue-Sheng Ong & Wei Wang & Suyash Shringarpure & Enda M. Byrne & Stuart MacGregor & Nicholas G. Martin & S, 2021. "Symptom-level modelling unravels the shared genetic architecture of anxiety and depression," Nature Human Behaviour, Nature, vol. 5(10), pages 1432-1442, October.
    3. Edith Hofer & Gennady V. Roshchupkin & Hieab H. H. Adams & Maria J. Knol & Honghuang Lin & Shuo Li & Habil Zare & Shahzad Ahmad & Nicola J. Armstrong & Claudia L. Satizabal & Manon Bernard & Joshua C., 2020. "Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
    4. Anshul Kundaje & Wouter Meuleman & Jason Ernst & Misha Bilenky & Angela Yen & Alireza Heravi-Moussavi & Pouya Kheradpour & Zhizhuo Zhang & Jianrong Wang & Michael J. Ziller & Viren Amin & John W. Whit, 2015. "Integrative analysis of 111 reference human epigenomes," Nature, Nature, vol. 518(7539), pages 317-330, February.
    5. Simon R. Cox & Stuart J. Ritchie & Elliot M. Tucker-Drob & David C. Liewald & Saskia P. Hagenaars & Gail Davies & Joanna M. Wardlaw & Catharine R. Gale & Mark E. Bastin & Ian J. Deary, 2016. "Ageing and brain white matter structure in 3,513 UK Biobank participants," Nature Communications, Nature, vol. 7(1), pages 1-13, December.
    6. Lloyd T. Elliott & Kevin Sharp & Fidel Alfaro-Almagro & Sinan Shi & Karla L. Miller & Gwenaëlle Douaud & Jonathan Marchini & Stephen M. Smith, 2018. "Genome-wide association studies of brain imaging phenotypes in UK Biobank," Nature, Nature, vol. 562(7726), pages 210-216, October.
    7. Hélène Choquet & Ronald B. Melles & Deepti Anand & Jie Yin & Gabriel Cuellar-Partida & Wei Wang & Thomas J. Hoffmann & K. Saidas Nair & Pirro G. Hysi & Salil A. Lachke & Eric Jorgenson, 2021. "A large multiethnic GWAS meta-analysis of cataract identifies new risk loci and sex-specific effects," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    8. Hannah Currant & Pirro Hysi & Tomas W Fitzgerald & Puya Gharahkhani & Pieter W M Bonnemaijer & Anne Senabouth & Alex W Hewitt & UK Biobank Eye and Vision Consortium & International Glaucoma Genetics C, 2021. "Genetic variation affects morphological retinal phenotypes extracted from UK Biobank optical coherence tomography images," PLOS Genetics, Public Library of Science, vol. 17(5), pages 1-27, May.
    9. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    10. Thomas J. Littlejohns & Jo Holliday & Lorna M. Gibson & Steve Garratt & Niels Oesingmann & Fidel Alfaro-Almagro & Jimmy D. Bell & Chris Boultwood & Rory Collins & Megan C. Conroy & Nicola Crabtree & N, 2020. "The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    11. Matthew F. Glasser & Timothy S. Coalson & Emma C. Robinson & Carl D. Hacker & John Harwell & Essa Yacoub & Kamil Ugurbil & Jesper Andersson & Christian F. Beckmann & Mark Jenkinson & Stephen M. Smith , 2016. "A multi-modal parcellation of human cerebral cortex," Nature, Nature, vol. 536(7615), pages 171-178, August.
    12. Xiangyun Yin & Sophia Zhang & Ju Hyun Lee & Huiping Dong & George Mourgkos & Gordon Terwilliger & Aurora Kraus & Luiz Henrique Geraldo & Mathilde Poulet & Suzanne Fischer & Ting Zhou & Farrah Shalima , 2024. "Compartmentalized ocular lymphatic system mediates eye–brain immunity," Nature, Nature, vol. 628(8006), pages 204-211, April.
    13. Kyoko Watanabe & Erdogan Taskesen & Arjen Bochoven & Danielle Posthuma, 2017. "Functional mapping and annotation of genetic associations with FUMA," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    14. Javier de la Fuente & Gail Davies & Andrew D. Grotzinger & Elliot M. Tucker-Drob & Ian J. Deary, 2021. "A general dimension of genetic sharing across diverse cognitive traits inferred from molecular data," Nature Human Behaviour, Nature, vol. 5(1), pages 49-58, January.
    15. Mitja I. Kurki & Juha Karjalainen & Priit Palta & Timo P. Sipilä & Kati Kristiansson & Kati M. Donner & Mary P. Reeve & Hannele Laivuori & Mervi Aavikko & Mari A. Kaunisto & Anu Loukola & Elisa Lahtel, 2023. "FinnGen provides genetic insights from a well-phenotyped isolated population," Nature, Nature, vol. 613(7944), pages 508-518, January.
    16. Naomi Kouri & Owen A. Ross & Beth Dombroski & Curtis S. Younkin & Daniel J. Serie & Alexandra Soto-Ortolaza & Matthew Baker & Ni Cole A. Finch & Hyejin Yoon & Jungsu Kim & Shinsuke Fujioka & Catriona , 2015. "Genome-wide association study of corticobasal degeneration identifies risk variants shared with progressive supranuclear palsy," Nature Communications, Nature, vol. 6(1), pages 1-7, November.
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