Resources Avalaible via London Genetics

Samples for Genetic Investigation, Data to Interrogate

  • DNA samples, -omic and biomarker samples collected from well-characterised patients across a range of therapeutic areas and ethnic groups
  • Genetic information for data mining

 

Patient Cohorts for Marker Discovery and Inclusion in Clinical Trials

  • Well-characterised patient cohorts across a range of therapeutic areas available for marker discovery and confirmation
  • Well-characterised patient networks for recruitment into clinical trials
  • Ethnically diverse populations
  • Therapeutic area cohorts available via London Genetics

cohort diagram

                      (COPD - chronic obstructive pulmonary disease      CHD - chronic heart disease)


Networks of Clinical, Genetic and Bioinformatics Experts

  • Worldwide clinical, genetic and bioinformatic experts for participation in key opinion leader meetings and advisory meetings, to facilitate drug development


Drug Development Expertise Available

  • Investigator-led research and clinical development programmes Based on experience in leading clinical development programmes, design and study planning, and study implementation expertise is available
  • Project management: Ensuring effective and timely delivery of projects
  • Data management: management of the large complex data sets rising from genetic studies
  • Consultancy and strategic planning:  advice on how, when and where to apply pharmacogenetics to clinical development, including which genetic hypotheses to test, and the type and timing of samples


Data and Laboratory Services

  • Statistical genetics: Analysis and interpretation of data, Phase III planning
  • Sample analysis (DNA, RNA and proteomic):  full analysis support across a range of genetic and genomic markers, including DNA sequencing, genotyping, and expression analysis:

              -   DNA genotyping/sequencing

              -   Transcriptomics

              -   Proteomics

              -   Epigenetics


BioInformatics:  Data Interpretation and Additional Statistical Analyses