Neurodegenerative Diseases: Phenome to Genome Analysis

Abstract

Genome-Wide Association Studies (GWAS) tools are an attractive starting point for disease target discovery. Genetic association evidence provides a strong link to disease phenotypes across diverse human DNAs. The National Center for Biotechnology Information (NCBI) Phenome-Genome Integrator tool (PheGenI) was used to identify genes associated with neurodegenerative disease phenotypes (NeuroGenes). Four hundred ninty-nine known proteins and 30 uncharacterized proteins were found to be associated with diverse neurological diseases including Alzeheimer’s, amyotrophic lateral sclerosis (ALS), epilepsy, multiple scelerosis, stroke and Parkinson’s. The NeuroGenes also were associated with other diseases and associated disorders. Using diverse bioinformatics and proteomics tools, an atlas of the NeuroGenes was created to facilitate rational biomarker and drug target discovery. NeuroGenes protein expression was detected in diverse body fluids. The NeuroGenes were categorized into functional classes of proteins using protein motif and domains analysis tools. Expression Quantitative Trait Loci (eQTL) analysis identified single nucleotide polymorphisms (SNPs) associated with mRNA expression across diverse sets of samples from Alzheimer’s disease, Parkinson’s disease, brain infarction, multiple sclerosis, schizophrenia, stroke, mental retardation and neurological cancers. Thirty uncharacterized proteins encompassing structural protein, translation initiation factor, GDP/GTP exchange factor (GEF), transmembrane proteins, tubulin/histonebinding and a lysosomal hydrolase were identified as putative proteins for dementia, Parkinson’s, neurobehavior, multiple scelerosis and ALS. These results may provide new biomarkers for neurological diseases.