期刊
MOLECULAR NEURODEGENERATION
卷 7, 期 -, 页码 -出版社
BMC
DOI: 10.1186/1750-1326-7-3
关键词
Alzheimer disease; clusterin gene (CLU); genomic resequencing; non-synonymous substitutions; insertions/deletions; beta?beta?-chain domain; meta-analysis
资金
- Belgian Science Policy Office (BELSPO)
- Alzheimer Research (SAO/FRMA)
- Flemish Government (EWI)
- Research Foundation Flanders (FWO)
- University of Antwerp (UA)
- Antwerp Medical Research Foundation and Neurosearch, Belgium
- National Foundation for Alzheimer's disease and related disorders
- Institute Pasteur de Lille and INSERM
- Canadian Institutes of Health Research
- Ontario Research Fund
- Weston foundation (PSH)
- Howard Hughes Medical Institute
- Wellcome Trust
- Alzheimer Society of Ontario (PSH)
- MRC [MC_G1000734] Funding Source: UKRI
- Medical Research Council [MC_G1000734] Funding Source: researchfish
Background: We have followed-up on the recent genome-wide association (GWA) of the clusterin gene (CLU) with increased risk for Alzheimer disease (AD), by performing an unbiased resequencing of all CLU coding exons and regulatory regions in an extended Flanders-Belgian cohort of Caucasian AD patients and control individuals (n = 1930). Moreover, we have replicated genetic findings by targeted resequencing in independent Caucasian cohorts of French (n = 2182) and Canadian (n = 573) origin and by performing meta-analysis combining our data with previous genetic CLU screenings. Results: In the Flanders-Belgian cohort, we identified significant clustering in exons 5-8 of rare genetic variations leading to non-synonymous substitutions and a 9-bp insertion/deletion affecting the CLU beta chain (p = 0.02). Replicating this observation by targeted resequencing of CLU exons 5-8 in 2 independent Caucasian cohorts of French and Canadian origin identified identical as well as novel non-synonymous substitutions and small insertion/deletions. A meta-analysis, combining the datasets of the 3 cohorts with published CLU sequencing data, confirmed that rare coding variations in the CLU beta chain were significantly enriched in AD patients (ORMH = 1.96 [95% CI = 1.18-3.25]; p = 0.009). Single nucleotide polymorphisms (SNPs) association analysis indicated the common AD risk association (GWA SNP rs11136000, p = 0.013) in the 3 combined datasets could not be explained by the presence of the rare coding variations we identified. Further, high-density SNP mapping in the CLU locus mapped the common association signal to a more 5' CLU region. Conclusions: We identified a new genetic risk association of AD with rare coding CLU variations that is independent of the 5' common association signal identified in the GWA studies. At this stage the role of these coding variations and their likely effect on the beta chain domain and CLU protein functioning remains unclear and requires further studies.
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