Both common variations and rare non-synonymous substitutions and small insertion/deletions in CLU are associated with increased Alzheimer risk. - Archive ouverte HAL Access content directly
Journal Articles Molecular Neurodegeneration Year : 2012

Both common variations and rare non-synonymous substitutions and small insertion/deletions in CLU are associated with increased Alzheimer risk.

(1, 2) , (1, 2) , (2, 3) , (4, 5) , (6) , (7) , (2) , (5) , (1, 2) , (1, 2) , (1, 2) , (2, 1) , (8) , (6, 9) , (4, 5) , (2, 3) , (1, 2) , (1, 2)
1
2
3
4
5
6
7
8
9
Ekaterina Rogaeva
  • Function : Author
  • PersonId : 921847
Rik Vandenberghe
  • Function : Author
  • PersonId : 921848
Nathalie Le Bastard
  • Function : Author
  • PersonId : 921849
Richard Mayeux
  • Function : Author
  • PersonId : 921855

Abstract

ABSTRACT: 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.
Fichier principal
Vignette du fichier
1750-1326-7-3.pdf (1004 Ko) Télécharger le fichier
Vignette du fichier
1750-1326-7-3-S1.DOC (176.5 Ko) Télécharger le fichier
Vignette du fichier
1750-1326-7-3-S2.DOC (84 Ko) Télécharger le fichier
Vignette du fichier
1750-1326-7-3-S3.DOC (84 Ko) Télécharger le fichier
Vignette du fichier
1750-1326-7-3-S4.JPEG (4.23 Mo) Télécharger le fichier
Vignette du fichier
1750-1326-7-3-S5.DOC (83.5 Ko) Télécharger le fichier
Vignette du fichier
1750-1326-7-3-S6.DOC (73 Ko) Télécharger le fichier
Vignette du fichier
1750-1326-7-3-S7.JPEG (2.34 Mo) Télécharger le fichier
Vignette du fichier
1750-1326-7-3.xml (146.95 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Format : Other
Format : Other
Format : Other
Format : Other
Format : Other
Format : Other
Format : Other
Format : Other
Loading...

Dates and versions

inserm-00677141 , version 1 (07-03-2012)

Identifiers

Cite

Karolien Bettens, Nathalie Brouwers, Sebastiaan Engelborghs, Jean-Charles Lambert, Ekaterina Rogaeva, et al.. Both common variations and rare non-synonymous substitutions and small insertion/deletions in CLU are associated with increased Alzheimer risk.. Molecular Neurodegeneration, 2012, 7 (1), pp.3. ⟨10.1186/1750-1326-7-3⟩. ⟨inserm-00677141⟩
135 View
287 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More