Alzheimer's disease risk variants show association with cerebrospinal fluid amyloid beta

John S.K. Kauwe, Jun Wang, Kevin Mayo, John C. Morris, Anne M. Fagan, David M. Holtzman, Alison M. Goate

Research output: Contribution to journalArticlepeer-review

69 Scopus citations

Abstract

The use of quantitative endophenotypes in genetic studies may provide greater power, allowing for the use of powerful statistical methods and a biological model for the effects of the disease-associated genetic variation. Cerebrospinal fluid (CSF) amyloid beta (Aβ) levels are promising endophenotypes for late-onset Alzheimer's disease (LOAD) and show correlation with LOAD status and Aβ deposition. In this study, we investigated 29 single nucleotide polymorphisms (SNPs) positive in AlzGene ( http://www.alzgene.org ) meta-analyses, for association with CSF Aβ levels in 313 individuals. This study design makes it possible to replicate reported LOAD risk alleles while contributing novel information about the mechanism by which they might affect that risk. Alleles in ACE, APOE, BDNF, DAPK1, and TF are significantly associated with CSF Aβ levels. In vitro analysis of the TF SNP showed a change in secreted Aβ consistent with the CSF phenotype and known Alzheimer's disease variants, demonstrating the utility of this approach in identifying SNPs that influence risk for disease via an Aβ-related mechanism.

Original languageEnglish
Pages (from-to)13-17
Number of pages5
JournalNeurogenetics
Volume10
Issue number1
DOIs
StatePublished - Feb 2009

Keywords

  • Alzheimer's disease
  • Amyloid beta
  • Association
  • Genetics
  • Transferrin

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