IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-57751-4.html
   My bibliography  Save this article

Cross-ancestry genome-wide association study identifies implications of SORL1 in cerebral beta-amyloid deposition

Author

Listed:
  • Jun Pyo Kim

    (Samsung Medical Center
    Sungkyunkwan University School of Medicine
    Samsung Medical Center)

  • Sang-Hyuk Jung

    (University of Pennsylvania
    Sungkyunkwan University
    Kangwon National University College of Medicine)

  • Beomjin Jang

    (Sungkyunkwan University
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Minyoung Cho

    (Sungkyunkwan University)

  • Minku Song

    (Sungkyunkwan University)

  • Jaeyoung Kim

    (Sungkyunkwan University)

  • Beomsu Kim

    (Sungkyunkwan University)

  • Hyunwoo Lee

    (Samsung Medical Center
    Sungkyunkwan University)

  • Daeun Shin

    (Samsung Medical Center
    Sungkyunkwan University School of Medicine
    Samsung Medical Center)

  • Eun Hye Lee

    (Samsung Medical Center
    Sungkyunkwan University School of Medicine
    Samsung Medical Center)

  • Hyemin Jang

    (Seoul National University College of Medicine)

  • Bo-Hyun Kim

    (Samsung Medical Center)

  • Hongki Ham

    (Sungkyunkwan University School of Medicine)

  • Dokyoon Kim

    (University of Pennsylvania)

  • Towfique Raj

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Carlos Cruchaga

    (Washington University
    Washington University
    Washington University
    Washington University)

  • Hee Jin Kim

    (Samsung Medical Center
    Sungkyunkwan University School of Medicine
    Samsung Medical Center
    Sungkyunkwan University)

  • Duk L. Na

    (Samsung Medical Center
    Sungkyunkwan University School of Medicine
    Samsung Medical Center)

  • Sang Won Seo

    (Samsung Medical Center
    Sungkyunkwan University School of Medicine
    Samsung Medical Center
    Sungkyunkwan University)

  • Hong-Hee Won

    (Sungkyunkwan University
    Samsung Medical Center)

Abstract

GWAS of Alzheimer’s disease have been predominantly based on European ancestry cohorts with clinically diagnosed patients. Increasing the ancestral diversity of GWAS and focusing on imaging brain biomarkers for Alzheimer’s disease may lead to the identification of new genetic loci. Here, we perform a GWAS on cerebral β-amyloid deposition measured by PET imaging in 3,885 East Asians and a cross-ancestry GWAS meta-analysis with data from 11,816 European participants. Our GWAS analysis replicates known loci (APOE4, CR1, and FERMT2) and identifies a novel locus near SORL1 that is significantly associated with β-amyloid deposition. Single-nucleus expression analysis shows that SORL1 is differentially expressed according to β-amyloid positivity in microglia. Our joint association analysis using the SORL1 lead variant (rs76490923) and the APOE4 allele demonstrates that the risk of β-amyloid deposition is reduced by up to 43.5% in APOE4 non-carriers and up to 55.6% in APOE4 carriers, according to the allelic dosage of the rs76490923 T allele. Our findings suggest that SORL1 may play an important role in the pathogenesis of Alzheimer’s disease, particularly in relation to β-amyloid deposition.

Suggested Citation

  • Jun Pyo Kim & Sang-Hyuk Jung & Beomjin Jang & Minyoung Cho & Minku Song & Jaeyoung Kim & Beomsu Kim & Hyunwoo Lee & Daeun Shin & Eun Hye Lee & Hyemin Jang & Bo-Hyun Kim & Hongki Ham & Dokyoon Kim & To, 2025. "Cross-ancestry genome-wide association study identifies implications of SORL1 in cerebral beta-amyloid deposition," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57751-4
    DOI: 10.1038/s41467-025-57751-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-57751-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-57751-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Claudia Giambartolomei & Damjan Vukcevic & Eric E Schadt & Lude Franke & Aroon D Hingorani & Chris Wallace & Vincent Plagnol, 2014. "Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics," PLOS Genetics, Public Library of Science, vol. 10(5), pages 1-15, May.
    2. Kwangsik Nho & Shannon L. Risacher & Liana G. Apostolova & Paula J. Bice & Jared R. Brosch & Rachael Deardorff & Kelley Faber & Martin R. Farlow & Tatiana Foroud & Sujuan Gao & Thea Rosewood & Jun Pyo, 2024. "CYP1B1-RMDN2 Alzheimer’s disease endophenotype locus identified for cerebral tau PET," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Natalie DeForest & Yuqi Wang & Zhiyi Zhu & Jacqueline S. Dron & Ryan Koesterer & Pradeep Natarajan & Jason Flannick & Tiffany Amariuta & Gina M. Peloso & Amit R. Majithia, 2024. "Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Julia Schröder & Vitalia Schüller & Andrea May & Christian Gerges & Mario Anders & Jessica Becker & Timo Hess & Nicole Kreuser & René Thieme & Kerstin U Ludwig & Tania Noder & Marino Venerito & Lothar, 2019. "Identification of loci of functional relevance to Barrett’s esophagus and esophageal adenocarcinoma: Cross-referencing of expression quantitative trait loci data from disease-relevant tissues with gen," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-12, December.
    3. Sylvia Hartmann & Summaira Yasmeen & Benjamin M. Jacobs & Spiros Denaxas & Munir Pirmohamed & Eric R. Gamazon & Mark J. Caulfield & Harry Hemingway & Maik Pietzner & Claudia Langenberg, 2023. "ADRA2A and IRX1 are putative risk genes for Raynaud’s phenomenon," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Brittany L. Mitchell & Jake R. Saklatvala & Nick Dand & Fiona A. Hagenbeek & Xin Li & Josine L. Min & Laurent Thomas & Meike Bartels & Jouke Hottenga & Michelle K. Lupton & Dorret I. Boomsma & Xianjun, 2022. "Genome-wide association meta-analysis identifies 29 new acne susceptibility loci," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    5. Zichen Zhang & Ye Eun Bae & Jonathan R. Bradley & Lang Wu & Chong Wu, 2022. "SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Pietro Demela & Nicola Pirastu & Blagoje Soskic, 2023. "Cross-disorder genetic analysis of immune diseases reveals distinct gene associations that converge on common pathways," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    7. Zhaotong Lin & Wei Pan, 2024. "A robust cis-Mendelian randomization method with application to drug target discovery," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    8. Chen Wang & Havell Markus & Avantika R. Diwadkar & Chachrit Khunsriraksakul & Laura Carrel & Bingshan Li & Xue Zhong & Xingyan Wang & Xiaowei Zhan & Galen T. Foulke & Nancy J. Olsen & Dajiang J. Liu &, 2025. "Integrating electronic health records and GWAS summary statistics to predict the progression of autoimmune diseases from preclinical stages," Nature Communications, Nature, vol. 16(1), pages 1-17, December.
    9. Yuandan Wei & Jianxin Zhen & Liang Hu & Yuqin Gu & Yanhong Liu & Xinxin Guo & Zijing Yang & Hao Zheng & Shiyao Cheng & Fengxiang Wei & Likuan Xiong & Siyang Liu, 2024. "Genome-wide association studies of thyroid-related hormones, dysfunction, and autoimmunity among 85,421 Chinese pregnancies," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    10. Emma Hazelwood & Daffodil M. Canson & Benedita Deslandes & Xuemin Wang & Pik Fang Kho & Danny Legge & Andrei-Emil Constantinescu & Matthew A. Lee & D. Timothy Bishop & Andrew T. Chan & Stephen B. Grub, 2025. "Multi-tissue expression and splicing data prioritise anatomical subsite- and sex-specific colorectal cancer susceptibility genes," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    11. Jun Inamo & Akari Suzuki & Mahoko Takahashi Ueda & Kensuke Yamaguchi & Hiroshi Nishida & Katsuya Suzuki & Yuko Kaneko & Tsutomu Takeuchi & Hiroaki Hatano & Kazuyoshi Ishigaki & Yasushi Ishihama & Kazu, 2024. "Long-read sequencing for 29 immune cell subsets reveals disease-linked isoforms," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    12. Xingjie Hao & Zhonghe Shao & Ning Zhang & Minghui Jiang & Xi Cao & Si Li & Yunlong Guan & Chaolong Wang, 2023. "Integrative genome-wide analyses identify novel loci associated with kidney stones and provide insights into its genetic architecture," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    13. Shiyu Zhang & Zheng Wang & Yijing Wang & Yixiao Zhu & Qiao Zhou & Xingxing Jian & Guihu Zhao & Jian Qiu & Kun Xia & Beisha Tang & Julian Mutz & Jinchen Li & Bin Li, 2024. "A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    14. Magdalena Zimoń & Yunfeng Huang & Anthi Trasta & Aliaksandr Halavatyi & Jimmy Z. Liu & Chia-Yen Chen & Peter Blattmann & Bernd Klaus & Christopher D. Whelan & David Sexton & Sally John & Wolfgang Hube, 2021. "Pairwise effects between lipid GWAS genes modulate lipid plasma levels and cellular uptake," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    15. Guanghao Qi & Surya B. Chhetri & Debashree Ray & Diptavo Dutta & Alexis Battle & Samsiddhi Bhattacharjee & Nilanjan Chatterjee, 2024. "Genome-wide large-scale multi-trait analysis characterizes global patterns of pleiotropy and unique trait-specific variants," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    16. Naim Panjwani & Fan Wang & Scott Mastromatteo & Allen Bao & Cheng Wang & Gengming He & Jiafen Gong & Johanna M Rommens & Lei Sun & Lisa J Strug, 2020. "LocusFocus: Web-based colocalization for the annotation and functional follow-up of GWAS," PLOS Computational Biology, Public Library of Science, vol. 16(10), pages 1-8, October.
    17. Lynne Krohn & Karl Heilbron & Cornelis Blauwendraat & Regina H. Reynolds & Eric Yu & Konstantin Senkevich & Uladzislau Rudakou & Mehrdad A. Estiar & Emil K. Gustavsson & Kajsa Brolin & Jennifer A. Rus, 2022. "Genome-wide association study of REM sleep behavior disorder identifies polygenic risk and brain expression effects," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    18. Ariadna Cilleros-Portet & Corina Lesseur & Sergi Marí & Marta Cosin-Tomas & Manuel Lozano & Amaia Irizar & Amber Burt & Iraia García-Santisteban & Diego Garrido-Martín & Geòrgia Escaramís & Alba Herna, 2025. "Potentially causal associations between placental DNA methylation and schizophrenia and other neuropsychiatric disorders," Nature Communications, Nature, vol. 16(1), pages 1-21, December.
    19. The Tien Mai, 2023. "Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing," Mathematics, MDPI, vol. 11(9), pages 1-13, May.
    20. Satria P. Sajuthi & Jamie L. Everman & Nathan D. Jackson & Benjamin Saef & Cydney L. Rios & Camille M. Moore & Angel C. Y. Mak & Celeste Eng & Ana Fairbanks-Mahnke & Sandra Salazar & Jennifer Elhawary, 2022. "Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57751-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.