4.6 Article

Genetic Variability in CLU and Its Association with Alzheimer's Disease

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PLOS ONE
卷 5, 期 3, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0009510

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资金

  1. Intramural Research Program of the National Institute on Aging
  2. National Institutes of Health, Department of Health and Human Services [Z01 AG000950-06]
  3. MRC Prion Unit and Fundacao para a Ciencia e Tecnologia, Portugal [SFRH/BD/29647/2006, PIC/IC/83206/2007]
  4. UK cohort
  5. Department of Health National Institute for Health Research Biomedical Research Centres
  6. MRC
  7. HEFCE/NHS Senior lecturership
  8. MRC [G0601846, G0701075, MC_U123192748, MC_U123160651] Funding Source: UKRI
  9. Alzheimers Research UK [ART-PG2010-1] Funding Source: researchfish
  10. Medical Research Council [MC_U123160651, G0601846, G0701075, MC_U123192748] Funding Source: researchfish
  11. Fundação para a Ciência e a Tecnologia [SFRH/BD/29647/2006] Funding Source: FCT

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Background: Recently, two large genome wide association studies in Alzheimer disease (AD) have identified variants in three different genes (CLU, PICALM and CR1) as being associated with the risk of developing AD. The strongest association was reported for an intronic single nucleotide polymorphism (SNP) in CLU. Methodology/Principal Findings: To further characterize this association we have sequenced the coding region of this gene in a total of 495 AD cases and 330 healthy controls. A total of twenty-four variants were found in both cases and controls. For the changes found in more than one individual, the genotypic frequencies were compared between cases and controls. Coding variants were found in both groups (including a nonsense mutation in a healthy subject), indicating that the pathogenicity of variants found in this gene must be carefully evaluated. We found no common coding variant associated with disease. In order to determine if common variants at the CLU locus effect expression of nearby (cis) mRNA transcripts, an expression quantitative loci (eQTL) analysis was performed. No significant eQTL associations were observed for the SNPs previously associated with AD. Conclusions/Significance: We conclude that common coding variability at this locus does not explain the association, and that there is no large effect of common genetic variability on expression in brain tissue. We surmise that the most likely mechanism underpinning the association is either small effects of genetic variability on resting gene expression, or effects on damage induced expression of the protein.

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