Title
Functional association between NUCKS1
gene and Parkinson disease: A potential susceptibility
biomarker
Authors
Sarita Singh & Prahlad Kishore Seth*
Affiliation
Biotech Park, Sector-G Jankipram, Kursi Road, Lucknow, India;
Prahlad Kishore Seth - Email- sethpk.nasi@gmail.com; Phone: +91-522-4012091; Fax: 91-522-4012081; *Corresponding author
Article Type
Research Article
Date
Received July 30, 2019; Accepted August 14, 2019; Published September 5, 2019
Abstract
Several Genome Wide Association Studies (GWASs) have reported that PARK16 gene locus possibly regulate the risk of Parkinson's disease (PD). It contains functionally interesting candidate genes for PD, regulated by number of SNPs. In present study rs823093 polymorphism in NUCKS1 gene has been evaluated as significant performer in PD though its mechanism is not yet known. Here various regulatory and functional analyses were performed using computational tools and information from databases. The rs823093 variant was predicted to locate in enhancer histone marks in blood and have strong transcription in various parts of brain, heart, kidney and liver. PhenoScanner (a database of human genotype-phenotype associations) identified significant associations of this variant with many other diseases and phenotypic conditions as well. Gene expression analysis shows significant association with multiple human tissues and multiple genes together with NUCKS1. Further, the post mortem brain samples showed diverse expressions of NUCKS1 gene in PD patients compared to healthy samples. Besides, the metabolite analysis shows significant association with serotonin a known neurotransmitter, and other 15 metabolites. In addition, NUCKS1 also showed co-expression with ZNF43 and PLIN1 genes involved in cell cycle regulation presume their association in PD. Thus, these data links NUCKS1 gene as a potential disease susceptibility biomarker for PD.
Keywords
NUCKS1; Parkinson; rs823093; GWAS; SNP
Citation
Singh & Seth, Bioinformation 15(8): 548-556 (2019)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
