Редактирование: ADAMTS3

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]

==Publications==

{{medline-entry
|title=Explorative results from multistep screening for potential genetic risk loci of Alzheimer's disease in the longitudinal VITA study cohort.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/29027019
|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.
|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
|full-text-url=https://sci-hub.do/10.1007/s00702-017-1796-6
}}