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Wellcome Trust Centre for Human Genetics

Consortia 

  • UK Type 2 Diabetes Genetics Consortium a grouping of all the UK researchers working on the genetics of type 2 diabetes.
  • BAIR (Biological Atlas of Insulin Resistance) combining genetic and genomic approaches to construct a biological atlas of the pathways involved in the development of insulin resistance.
  • MolPAGE (Molecular Phenotyping to accelerate Genomic Epidemiology) an EU-funded project to support biobank standardization and improved methods and analytical tools for large-scale genomic epidemiology. This project is led by Oxford (coordinators: Mark McCarthy, John Bell) and includes 12 academic institutions, 5 biotech companies and two large pharmaceutical partners.
  • WTCCC (Wellcome Trust Case Control Consortium) a WellcomeTrust-funded project which is undertaking large-scale (500k) genome wide association studies on type 2 diabetes and 8 other conditions. Data collection will be complete during summer 2006.
  • IGWANA (International Genome Wide Association Analysis Network) an international grouping of researchers conducting genome-wide association scans on type 2 diabetes committed to data sharing and integration, and completing "the mother of all meta-analyses" on 8000 case-control pairs scanned for type 2 diabetes.
  • INTERACT an EU-funded project looking at gene-environment interactions in type 2 diabetes. We will be typing over 10,000 incident cases of diabetes (and 10,000 cohort controls) for studies of gene-environment interaction in samples from the EPIC cohort.
  • The International 1q Consortium: NIH-funded consortium (UK, US, France, China) to map the susceptibility genes responsible for replicated linkage signal on chromosome 1q.
  • EURODIA an EU-funded project to explore the functional genomics of the pancreatic beta-cell through integration of genetic, genomic and functional approaches.
  • ENDGAME an NHLBI-funded collaboration between statistical genetics groups (in the US and UK) to develop statistical and informatics tools to support the robust analysis of genome wide association data.

 

 

 

 

 

 

 

 

 

 
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