Author/Editor     Karić, Amela; Terzić, Rifet; Karić, Alen; Peterlin, Borut
Title     Identifying candidate genes for Parkinson's disease by integrative genomics method
Type     članek
Vol. and No.     Letnik 21, št. 2
Publication year     2011
Volume     str. 174-181
ISSN     1330-0962 - Biochemia medica : časopis Hrvatskoga drustva medicinskih biokemicara / HDMB
Language     eng
Abstract     Introduction: The recent studies of Parkinsons disease (PD) indicate that genetics and environmental factors may play an important role in developing of PD. Nowadays, the cell death and cell adhesion are pathogenetic mechanisms which could be related with PD. On the basis of relationship of those mechanisms with PD, the aim of this study was to identify new candidate genes for PD by integration of results of transcriptomics studies and results obtained by Biomedical Discovery Support System (BITOLA). Materials and methods: For the detection of functional relationship between potential candidate gene and pathogenetic mechanisms associated with PD, we designed strategy of integration of results of transcriptomics studies with discovery approach in bibliographic data bases and BITOLA. Data of chromosome location, tissue-specific expression, function of potential candidate genes and their association with genetics disorders were obtained from Medline, Locus Link, Gene Cards and OMIM. Results: Integration and comparison of results obtained using the BITOLA system and analysis of transcriptomics studies identified six genes (MAPT, UCHL1, NSF, CDC42, PARK2 and GFPT1) that occur simultaneously in both group of results. The function of genes NSF, CDC42 and GFPT1 in the pathogenesis of PD has not been studied yet. Conclusions: According to our result that aforementioned genes appeared in both groups of results and partially match the criteria set for the selection of candidate genes and their potential role in the development of PD, they should be tested by methods specifically intended for those three genes.
Keywords     Parkinson's disease
candidate genes
Biomedical Discovery Support System (BITOLA)