Development of a high throughput gene, environment and epigenetics database and analysis system for international ALS research
Our Research
The project is embedded within the bioinformatics group (http://core.brc.iop.kcl.ac.uk/) at the NIHR Biomedical Research Centre for Mental Health (BRC-MH), Kings College London. From here, we are collaborating with ENCALS and NEALS through multiple consortia including STRENGTH, EuroMotor, Project MinE, SOPHIA and ALSGEN. The solution will be based on dedicated open source frameworks for the integration of genetics and related data for analysis, tailored to fit a set of specific user requirements set out by a stakeholder group. Since the EuroMotor and SOPHIA projects use an existing Progeny-based clinical database, a specific component will allow a direct two-way transfer of key data between the two systems allowing them to be compatible and avoiding duplication of effort. We are implementing a solution that will enable the sharing of each of the 1-4 levels of omics and associated data: Level 1 data refers to the data in its raw, non-normalised form, levels 2 and 3 represent data at different stages of processing and level 4 represents summary results data (https://wiki.nci.nih.gov/display/TCGA/Data+level#Datalevel- DataLevelClassification).
The data base system will be a combination of both a central data warehouse that can be accessed by users through a web browser, and a federated system where multiple storage locations are used but accessed through a single portal. We are producing a set of standardised analysis pipelines for data processing and submission to the repository. For example, there will be a pipeline for ALS Genome Wide Association Study (GWAS) genotype imputation.
Themes
Discovery Science
Public Health
Learning Health Systems
Disease: Neurodegenerative Disorders
People: Prof Ammar Al-Chalabi, Dr Richard Dobson, Prof Leonard van den Berg, Dr Stephen J. Newhouse, Dr Alfredo Iacoangeli
Collaborators: Dr Jan H. Veldink, Prof Vincenzo Silani, Prof John Landers, Prof Adriano Chio, Prof Orla Hardiman
Impact in research
- Blood pressure and incidence of twelve cardiovascular diseases
- Blood tests for the early identification of Alzheimer's Disease
- Breaking records: Using health records to explore antibiotic prescribing practice
- CALIBER cardiovascular disease prevention projects
- Cognitive workload of health technologies
- Heterogeneity of cognitive decline in dementia: taking into account variable time-zero severity
- Infection Response through Virus genomics (ICONIC)
- International comparisons of 'big' health record data: application to cardiovascular diseases
- Investigating adverse effects of psychiatric drugs through data-mining of electronic health records
- KConnect
- Laboratory-confirmed respiratory infections as vascular triggers
- Large scale omics data integration for biomarker discovery, drug repositioning and screening for new therapeutic targets for Alzheimer's disease
- Lipids and cardiovascular diseases in CALIBER
- 'Nothing about us, without us.' Involvement of Experts by Experience in Homeless and Inclusion Health Research
- Prognosis Research Partnership
- Reactivation of varicella zoster virus and vascular outcomes
- Real-time detection of influenza outbreaks in hospitals: demonstrating infection response through virus genomics (ICONIC)
- The prescription-persistence cascade in cardiovascular disease-an opportunity for big data research
- Tuberculosis in migrants
- Video Observed Therapy for TB – The world’s first randomised controlled trial of smartphone enabled “Video Observed Therapy” to support patients to complete tuberculosis treatment