The rs13388259 Intergenic Polymorphism in the Genomic Context of the BCYRN1 Gene Is Associated with Parkinson's Disease in the Hungarian Population.
Sándor MárkiAnikó GöblösEszter SzláviczNóra TörökPéter BaliczaBenjamin BereznaiAnnamária TakátsJózsef EngelhardtKlivényi PéterLászló VécseiMária Judit MolnárNikoletta NagyMárta SzéllPublished in: Parkinson's disease (2018)
Parkinson's disease (PD) is a common neurodegenerative disorder characterized by bradykinesia, resting tremor, and muscle rigidity. To date, approximately 50 genes have been implicated in PD pathogenesis, including both Mendelian genes with rare mutations and low-penetrance genes with common polymorphisms. Previous studies of low-penetrance genes focused on protein-coding genes, and less attention was given to long noncoding RNAs (lncRNAs). In this study, we aimed to investigate the susceptibility roles of lncRNA gene polymorphisms in the development of PD. Therefore, polymorphisms (n=15) of the PINK1-AS, UCHL1-AS, BCYRN1, SOX2-OT, ANRIL and HAR1A lncRNAs genes were genotyped in Hungarian PD patients (n=160) and age- and sex-matched controls (n=167). The rare allele of the rs13388259 intergenic polymorphism, located downstream of the BCYRN1 gene, was significantly more frequent among PD patients than control individuals (OR = 2.31; p=0.0015). In silico prediction suggested that this polymorphism is located in a noncoding region close to the binding site of the transcription factor HNF4A, which is a central regulatory hub gene that has been shown to be upregulated in the peripheral blood of PD patients. The rs13388259 polymorphism may interfere with the binding affinity of transcription factor HNF4A, potentially resulting in abnormal expression of target genes, such as BCYRN1.
Keyphrases
- genome wide identification
- transcription factor
- genome wide
- end stage renal disease
- genome wide analysis
- ejection fraction
- bioinformatics analysis
- newly diagnosed
- chronic kidney disease
- copy number
- peritoneal dialysis
- peripheral blood
- stem cells
- gene expression
- patient reported outcomes
- prognostic factors
- mass spectrometry
- inflammatory response
- small molecule
- heart rate variability
- blood pressure
- heart rate
- network analysis
- toll like receptor
- long noncoding rna