A disintegrin and metalloproteinase with thrombospondin motifs 3 precursor (EC 3.4.24.-) (ADAM-TS 3) (ADAM-TS3) (ADAMTS-3) (Procollagen II N-proteinase) (PC II-NP) (Procollagen II amino propeptide-processing enzyme) [KIAA0366]

PublicationsПравить

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

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.

MeSH Terms

  • Aged
  • Aged, 80 and over
  • Aging
  • Alzheimer Disease
  • Austria
  • Cohort Studies
  • Female
  • Genetic Loci
  • Genetic Predisposition to Disease
  • Genetic Testing
  • Humans
  • Longitudinal Studies
  • Male

Keywords

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