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Copy number variability in Parkinson's disease: assembling the puzzle through a systems biology approach

Articolo
Data di Pubblicazione:
2016
Abstract:
Parkinson's disease (PD), the second most common progressive neurodegenerative disorder of aging, was long believed to be a non-genetic sporadic origin syndrome. The proof that several genetic loci are responsible for rare Mendelian forms has represented a revolutionary breakthrough, enabling to reveal molecular mechanisms underlying this debilitating still incurable condition. While single nucleotide polymorphisms (SNPs) and small indels constitute the most commonly investigated DNA variations accounting for only a limited number of PD cases, larger genomic molecular rearrangements have emerged as significant PD-causing mutations, including submicroscopic Copy Number Variations (CNVs). CNVs constitute a prevalent source of genomic variations and substantially participate in each individual's genomic makeup and phenotypic outcome. However, the majority of genetic studies have focused their attention on single candidate-gene mutations or on common variants reaching a significant statistical level of acceptance. This gene-centric approach is insufficient to uncover the genetic background of polygenic multifactorial disorders like PD, and potentially masks rare individual CNVs that all together might contribute to disease development or progression. In this review, we will discuss literature and bioinformatic data describing the involvement of CNVs on PD pathobiology. We will analyze the most frequent copy number changes in familiar PD genes and provide a "systems biology" overview of rare individual rearrangements that could functionally act on commonly deregulated molecular pathways. Assessing the global genome-wide burden of CNVs in PD patients may reveal new disease-related molecular mechanisms, and open the window to a new possible genetic scenario in the unsolved PD puzzle.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Copy number variants; Parkinson's disease; System biology
Elenco autori:
LA COGNATA, Valentina; Morello, Giovanna; Cavallaro, Sebastiano
Autori di Ateneo:
CAVALLARO SEBASTIANO
LA COGNATA VALENTINA
MORELLO GIOVANNA MARIA ALESSANDRA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/321457
Pubblicato in:
HUMAN GENETICS (BERL., INTERNET)
Journal
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URL

http://link.springer.com/article/10.1007%2Fs00439-016-1749-4
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