Structural variation detection and association analysis of whole-genome-sequence data from 16,543 Alzheimer's disease sequencing project subjects
- PMID: 40528303
- PMCID: PMC12173831
- DOI: 10.1002/alz.70277
Structural variation detection and association analysis of whole-genome-sequence data from 16,543 Alzheimer's disease sequencing project subjects
Abstract
Introduction: The role of structural variations (SVs) in Alzheimer's disease (AD) remains understudied.
Methods: We analyzed whole-genome sequencing data from the Alzheimer's Disease Sequencing Project (N = 16,543) and identified 400,234 (168,223 high-quality) SVs. Laboratory validation yielded a sensitivity of 82% (85% for high-quality).
Results: We found a burden of singletons (odds ratio [OR] = 1.07, p = 0.0017) and homozygous deletions (OR = 1.14, p < 0.0001) in cases. On AD genes, we observed the ultra-rare SVs associated with the disease, including protein-altering SVs in ABCA7, APP, PLCG2, and SORL1. Twenty-one SVs are in linkage disequilibrium (LD) with known AD-risk variants, exemplified by a 5k deletion in LD (R2 = 0.99) with rs143080277 in NCK2. We identified a rare deletion near RNA5SP293 associated with AD (OR = 1.99, p = 1.3 × 10-5), which was replicated using an independent dataset.
Discussion: This study highlights the pivotal role of SVs in AD genetics.
Highlights: Observed a significant burden of singletons and homozygous deletions in Alzheimer's disease (AD) patients. Identified rare protein-altering structural variations (SVs) in ABCA7, APP, PLCG2, and SORL1. Established linkages between SVs and AD risk-associated single nucleotide variants (SNVs). Discovered a novel deletion near RNA5SP293 linked to AD, replicated independently. Uncovered over-representation of SVs in neuronal function pathways.
Keywords: Alzheimer's disease; NCK2; RNA5SP293; copy number variation; structural variation.
© 2025 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
Conflict of interest statement
The authors declare no conflicts of interest. Author disclosures are available in Supporting Information.
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Update of
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Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer's Diseases Sequencing Project Subjects.medRxiv [Preprint]. 2023 Sep 13:2023.09.13.23295505. doi: 10.1101/2023.09.13.23295505. medRxiv. 2023. Update in: Alzheimers Dement. 2025 Jun;21(6):e70277. doi: 10.1002/alz.70277. PMID: 37745545 Free PMC article. Updated. Preprint.
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Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer's Diseases Sequencing Project Subjects.Res Sq [Preprint]. 2023 Oct 5:rs.3.rs-3353179. doi: 10.21203/rs.3.rs-3353179/v1. Res Sq. 2023. Update in: Alzheimers Dement. 2025 Jun;21(6):e70277. doi: 10.1002/alz.70277. PMID: 37886469 Free PMC article. Updated. Preprint.
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