| Title: | Unraveling the genetic interplay between sleep disorders and Alzheimer's disease: From shared genes to potential therapeutic targets |
| Journal: | Journal of Affective Disorders |
| Published: | 30 Nov 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41330513/ |
| DOI: | https://doi.org/10.1016/j.jad.2025.120788 |
Publication 16818
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Abstract
BACKGROUND: Sleep disorders are potential risk factors for Alzheimer's disease (AD), but their genetic association and shared gene mechanisms remain unclear. This study investigate the genetic correlation between AD and four sleep disorders phenotypes, and examined AD-sleep shared pathways in major depressive disorder (MDD) to assess a broader neuropsychiatric implication.</p>
METHODS: Linkage disequilibrium score regression (LDSC) and high-definition likelihood (HDL) were employed to investigate shared genetic architecture. SNP-Level PLACO analysis identified pleiotropic loci. MAGMA mapped these loci to the genes which implicated in AD pathology, while expression quantitative trait loci (QTL) identified brain-expressed genes involved in key pathways.</p>
RESULTS: Data from 1,862,604 participants, including 71,880 AD or AD-by-proxy cases and 383,378 controls, along with 92,765 individuals with sleep disorders and 1,314,581 controls, revealed positive genetic correlations between combined sleep disorders (CSD) and AD (LDSC: rg = 0.075, P = 0.030; HDL: rg = 0.133, P = 0.024) and between sleep apnea syndrome (SAS) and AD (LDSC: rg = 0.081, P = 0.018; HDL: rg = 0.132, P = 0.027). Nine specific genes including MARK4, GPC2, PVRL2, ACMSD, AC006126.3, BIN1, APOC1, APOC4, and APOC2 were implicated in AD pathology, with common pathways involving complement activation, immune response activation, and protein-lipid complex formation. Crucially, these AD-sleep shared pathways were also significantly enriched for MDD risk.</p>
CONCLUSION: These findings highlight a genetic association between sleep disorders and AD, which extends to MDD through common biological pathways, revealing shared genetic risk factors and mechanisms, which may inform novel therapeutic strategies.</p>
16 Authors
- Xiaoya Gao
- Peixin Jiang
- Leiyuan Liu
- Yanling Huang
- Henghui Tan
- Wanyun Guo
- Haiting Xie
- Pengpeng Xing
- Qing Wang
- Sibo Peng
- Junjie Hua
- Yuankai Wang
- Yufei Lan
- Lingxiao Jiang
- Hualiang Lin
- Hongbo Guo
1 Application
| Application ID | Title |
|---|---|
| 69550 | Identifying the potential effects of environmental and other healthcare related factors influencing health outcomes, mediated by genetic variances |
Enabling scientific discoveries that improve human health