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Group Members
Publications
Consortia
Vacancies
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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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