Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://dx.doi.org/10.1111/bjh.20022DOI Listing

Publication Analysis

Top Keywords

comprehensive clinico-genetic
4
clinico-genetic analysis
4
analysis reveals
4
reveals prognostic
4
prognostic factors
4
factors blastic
4
blastic plasmacytoid
4
plasmacytoid dendritic
4
dendritic cell
4
cell neoplasm
4

Similar Publications

Introduction: Microglia exert a crucial role in homeostasis of white matter integrity, and several studies highlight the role of microglial dysfunctions in neurodegeneration. Primary microgliopathy is a disorder where the pathogenic abnormality of the microglia causes white matter disorder and leads to a neuropsychiatric disease. Triggering receptor expressed on myeloid cells (), TYRO protein tyrosine kinase binding protein () and colony-stimulating factor 1 receptor () are genes implicated in primary microgliopathy.

View Article and Find Full Text PDF

Genetic stratification of motor and QoL outcomes in Parkinson's disease in the EARLYSTIM study.

Parkinsonism Relat Disord

October 2022

Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Transversal Translational Medicine, Luxembourg Institute of Health, Strassen, Luxembourg; Parkinson Research Clinic, Centre Hospitalier de Luxembourg, Luxembourg.

Article Synopsis
  • The study explores whether genetic variables can predict outcomes of subthalamic deep brain stimulation (STN-DBS) in patients with Parkinson's disease (PD).
  • Researchers aimed to replicate an earlier finding that a specific genetic variant (SNCA rs356220) was linked to better STN-DBS responses and looked at additional genetic factors from recent genome-wide association studies (GWAS).
  • Although the SNCA rs356220 variant didn't predict motor outcomes, it was associated with improved quality of life; other genetic markers showed predictive value for DBS outcomes, but polygenic risk scores were not useful in this context.
View Article and Find Full Text PDF

Background: Gene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for transcriptome-based applications beyond the limitations of microarrays, we sought to systematically evaluate the performance of RNA-seq-based and microarray-based classifiers in this MAQC-III/SEQC study for clinical endpoint prediction using neuroblastoma as a model.

Results: We generate gene expression profiles from 498 primary neuroblastomas using both RNA-seq and 44 k microarrays.

View Article and Find Full Text PDF