Name
Title | ||
|---|---|---|
A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue. |
Abstract | ||
|---|---|---|
Identification of genes whose regulation of expression is functionally similar in both brain tissue and blood cells could in principle enable monitoring of significant neurological traits and disorders by analysis of blood samples. We thus employed transcriptional analysis of pathologically affected tissues, using agnostic approaches to identify overlapping gene functions and integrating this transcriptomic information with expression quantitative trait loci (eQTL) data. Here, we estimate the correlation of gene expression in the top-associated cis-eQTLs of brain tissue and blood cells in Parkinson's Disease (PD). |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compbiomed.2019.103385 | Computers in Biology and Medicine |
Keywords | Field | DocType |
Parkinson's disease,Brain,Blood,cis-eQTL,GWAS | Blood cell,Gene,Pattern recognition,Computer science,Transcriptome,Gene expression,Human brain,Biomarker (medicine),Artificial intelligence,Computational biology,Overlapping gene,Expression quantitative trait loci | Journal |
Volume | ISSN | Citations |
113 | 0010-4825 | 1 |
PageRank | References | Authors |
0.36 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Ali Moni | 1 | 41 | 16.64 |
| Humayan Kabir Rana | 2 | 2 | 2.15 |
| M Babul Islam | 3 | 1 | 1.38 |
| Mohammad Boshir Ahmed | 4 | 1 | 0.36 |
| Haoming Xu | 5 | 11 | 2.65 |
| Md. Al Mehedi Hasan | 6 | 1 | 2.05 |
| Yiming Lei | 7 | 70 | 6.89 |
| Julian Quinn | 8 | 9 | 6.83 |