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Genome-wide association neural networks identify genes linked to family history of Alzheimer's disease

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  • معلومة اضافية
    • Contributors:
      University of St Andrews.Population and Behavioural Science Division; University of St Andrews.School of Medicine; University of St Andrews.Sir James Mackenzie Institute for Early Diagnosis
    • الموضوع:
      2025
    • Collection:
      University of St Andrews: Digital Research Repository
    • نبذة مختصرة :
      Funding: This work was supported by Alzheimer’s Research UK [grant ID ARUK-PhD2022-031]; King Abdulaziz University and the University of Oxford Centre for Artificial Intelligence in Precision Medicine (KO-CAIPM); Janssen Research and Development (Johnson & Johnson); the John Fell Foundation [grant ID 0010659]; and the Virtual Brain Cloud from European Commission [grant number H2020-SC1-DTH-2018-1]. C.A. is funded by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC). ; Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorithms can allow the detection of novel signals in available cohorts. We introduce “genome-wide association neural networks (GWANN)” a novel approach that uses neural networks (NNs) to perform a gene-level association study with family history of Alzheimer’s disease (AD). In UK Biobank, we defined cases (n = 42 110) as those with AD or family history of AD and sampled an equal number of controls. The data was split into an 80:20 ratio of training and testing samples, and GWANN was trained on the former followed by identifying associated genes using its performance on the latter. Our method identified 18 genes to be associated with family history of AD. APOE, BIN1, SORL1, ADAM10, APH1B, and SPI1 have been identified by previous AD GWAS. Among the 12 new genes, PCDH9, NRG3, ROR1, LINGO2, SMYD3, and LRRC7 have been associated with neurofibrillary tangles or phosphorylated tau in previous studies. Furthermore, there is evidence for differential transcriptomic or proteomic expression between AD and healthy brains for 10 of the 12 new genes. A series of post hoc analyses resulted in a significantly enriched protein–protein interaction network (P-value < 1 × 10−16), and enrichment of relevant disease and biological pathways such as focal adhesion (P-value = 1 × 10−4), extracellular matrix organization (P-value = 1 × 10−4), Hippo signaling (P-value = 7 × 10−4), Alzheimer’s disease (P-value = 3 × 10−4), and impaired ...
    • File Description:
      application/pdf
    • Relation:
      Briefings in Bioinformatics; 314794782; 85214339959; PubMedCentral: PMC11707606; https://hdl.handle.net/10023/31438; https://www.scopus.com/pages/publications/85214339959
    • الرقم المعرف:
      10.1093/bib/bbae704
    • الدخول الالكتروني :
      https://hdl.handle.net/10023/31438
      https://doi.org/10.1093/bib/bbae704
      https://www.scopus.com/pages/publications/85214339959
    • Rights:
      © The Author(s) 2025. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
    • الرقم المعرف:
      edsbas.B1028859