Related Experiment Video
Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Clinical Manifestations
Md Shafiqur Rahman1,2, Timothy Rittman3,4, Brian D M Tom1
1MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
Background:
Nearly half of Parkinson's disease (PD) patients are diagnosed with dementia within 10 years of their initial diagnosis. It is likely that these subgroups of patients experience symptoms of cognitive decline before the diagnosis of PD. Therefore, it is important to study trajectories of age-related cognitive decline in individuals at risk of PD.
Method:
The National Institute for Health and Care Research's Genes and Cognition (G&C) study has conducted cognitive profiling across several domains (11 cognitive tests) in approximately 35,000 individuals. Nearly one-third of these participants completed a second cognitive assessment approximately 41 months after the first. Participants provided basic demographic information at the time of recruitment to the NIHR Bioresource. Currently, genetic information for 9,878 participants is available, with the remaining participants undergoing genotyping. We will use the polygenic risk score (PRS) catalog number PGS004924 (90 genetic variants) to calculate the PRS for PD in G&C study participants. Individuals in the top 2.5th percentile will be categorized as high-risk, while the rest will be categorized as low risk for PD. Additionally, known common variants in GBA, LRRK2, MAPT and SNCA gene will be investigated.
Result:
Based on the available data, demographic and clinical characteristics will be compared between individuals with high and low polygenic risk for PD using parametric and/or non-parametric tests. Cognitive test performance across the 11 tests will be compared between the high- and low-polygenic-risk groups for PD at both time points. Additionally, cognitive test performance will be investigated for common risk variants of PD.
Conclusion:
This study will provide insights into the trajectories of performance across various cognitive domains in individuals at high risk for PD. Identifying the cognitive domains most sensitive to decline in PD will support efforts for early detection and management.
Related Concept Videos
Chronic Kidney Disease II: Clinical Manifestations
Coronary Artery Disease III: Clinical Manifestations
Endocarditis II: Clinical Features of Infective Endocarditis
Heart Failure III: Clinical Manifestations
Gastroesophageal Reflux Disease II: Clinical Features and Management
Clinical Manifestations
GERD presents itself in a multitude of ways, with symptoms varying from person to person. The hallmark symptoms are...
Hypertension III: Clinical Manifestations and Diagnostic Studies

