ReviewCold Spring Harbor perspectives in medicine2012
Genomics and bioinformatics of Parkinson's disease.
Review in Cold Spring Harbor perspectives in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- A mitoxyperiosis-associated gene signature correlates with immune disturbance and provides a potential diagnostic biomarker for systemic lupus erythematosus.Clinical rheumatology · 2026Article
- Integrating Weighted Gene Co-Expression Network and Differential Expression Analyses to Unveil the Role of RNA m6A Methylation Regulators in Idiopathic Parkinson's Disease in Latin America.Life (Basel, Switzerland) · 2026Article
- Network Analysis Performed on Transcriptomes of Parkinson's Disease Patients Reveals Dysfunction in Protein Translation.International journal of molecular sciences · 2024Article
- Hybrid Pharmacophore- and Structure-Based Virtual Screening Pipeline to Identify Novel EGFR Inhibitors That Suppress Non-Small Cell Lung Cancer Cell Growth.International journal of molecular sciences · 2022Article
- Pharmacophore-based virtual screening for the identification of the novel Src inhibitor SJG-136 against lung cancer cell growth and motility.American journal of cancer research · 2020Article
- The Challenge to Search for New Nervous System Disease Biomarker Candidates: the Opportunity to Use the Proteogenomics Approach.Journal of molecular neuroscience : MN · 2019Review
- Regional analysis and genetic association of nigrostriatal degeneration in Lewy body disease.Movement disorders : official journal of the Movement Disorder Society · 2017Article
- PDON: Parkinson's disease ontology for representation and modeling of the Parkinson's disease knowledge domain.Theoretical biology & medical modelling · 2015Article
- Biomarkers of Parkinson's disease: present and future.Metabolism: clinical and experimental · 2015Review
- Compensatory mechanisms in genetic models of neurodegeneration: are the mice better than humans?Frontiers in cellular neuroscience · 2015Review
- Proteomics in immunity and herpes simplex encephalitis.Expert review of proteomics · 2014Review
- Complex network-driven view of genomic mechanisms underlying Parkinson's disease: analyses in dorsal motor vagal nucleus, locus coeruleus, and substantia nigra.BioMed research international · 2014Article
- Parkinson's disease.Sub-cellular biochemistry · 2012Review
- Analysis of total RNA as a potential biomarker of Parkinson's disease in silico.International journal of immunopathology and pharmacologyArticle
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Within the last two decades, genomics and bioinformatics have profoundly impacted our understanding of the molecular mechanisms of Parkinson's disease (PD). From the description of the first PD gene in 1997 until today, we have witnessed the emergence of new technologies that have revolutionized our concepts to identify genetic mechanisms implicated in human health and disease. Driven by the publication of the human genome sequence and followed by the description of detailed maps for common genetic variability, novel applications to rapidly scrutinize the entire genome in a systematic, cost-effective manner have become a reality. As a consequence, about 30 genetic loci have been unequivocally linked to the pathogenesis of PD highlighting essential molecular pathways underlying this common disorder. Herein we discuss how neurogenomics and bioinformatics are applied to dissect the nature of this complex disease with the overall aim of developing rational therapeutic interventions.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.