Explorative results from multistep screening for potential genetic risk loci of Alzheimer’s disease in the longitudinal VITA study cohort

Claus Jürgen Scholz, Heike Weber, Susanne Jungwirth, Walter Danielczyk, Andreas Reif, Karl Heinz Tragl, Peter Fischer, Peter Riederer, Jürgen Deckert, Edna Grünblatt*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Alzheimer’s disease (AD) is a neurodegenerative disorder that preferentially affects individuals of advanced age. Heritability estimates for AD range between 60 and 80%, but only few genetic risk factors have been identified so far. In the present explorative study, we aimed at characterizing the genetic contribution to late-onset AD in participants of the Vienna Transdanube Aging (VITA) longitudinal birth cohort study in a two-step approach. First, we performed a genome-wide screen of pooled DNA samples (n = 588) to identify allele frequency differences between AD patients and non-AD individuals using life-time diagnoses made at the age of 80 (t = 60 months). This analysis suggested a high proportion of brain-expressed genes required for cell adhesion, cell signaling and cell morphogenesis, and also scored in known AD risk genes. In a second step, we confirmed associations using individual genotypes of top-ranked markers examining AD diagnoses as well as the dimensional scores: FULD and MMSE determined up to the age of 82.5 (t = 90 months). Taken together, our study proposes genes ANKS1B, ENST00000414107, LOC100505811, SLC22A14, QRFPR, ZDHHC8P1, ADAMTS3 and PPFIA1 as possible new candidates involved in the etiology of late-onset AD, with further research being needed to clarify their exact roles.

Original languageEnglish
JournalJournal of Neural Transmission
Volume125
Issue number1
Pages (from-to)77-87
ISSN0300-9564
DOIs
Publication statusPublished - 1. Jan 2018
Externally publishedYes

Keywords

  • Alzheimer’s disease
  • Candidate gene identification
  • Cohort study
  • Genotyping microarray
  • Pooled DNA analysis

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