• SYSCID

    SYSCID – A Systems medicine approach to chronic inflammatory diseases
    Funded by European Union’s Horizon 2020

    SYSCID main aim is to create a prediction framework for disease outcome to guide therapy decisions on an individual patient level enabling the choice of the right therapy at the right time.

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  • Whole-genome transcriptomic profiling: A resource for the discovery of expression QTLs associated with common disease

    Funded by The Wellcome Trust
    Its main aim is to annotate regulatory elements across the human genome and identify cis and trans acting eQTL that are specifically associated with expression phenotypes in lymphoblastoid cell lines (LCLs) and subcutaneous abdominal fat tissues and test them as candidate polymorphisms for association with obesity-related phenotypes in a series of large scale genetic association studies.

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  • ENGAGE

    European Network for Genetic and Genomic Epidemiology
    Funded by The European Union FP7 programme
    The primary aim of ENGAGE is to translate genetic and phenotypic data emerging from large-scale research studies in genetic and genomic epidemiology for future clinical advances. Early studies will concentrate on metabolic and cardiovascular phenotypes.

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  • TwinsUK Genetic Epidemiology Resource

    Funded by The Wellcome Trust
    This project aims to build on the existing TwinsUK resource. The previous Wellcome FGI funded development of the twin resource and the creation of a website and open access by researchers to limited twin data.

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  • TREAT-OA

    Translational Research in Europe Applied Technologies for OsteoArthritis
    Funded by The European Union FP7 programme
    The Department of Twin Research is co-ordinating a 5 year EU Framework 7 Large Collaborative Project (HEALTH-F2-2008-00) which started in January 2008 with funding of €11,924,000 and 10 research partners from 6 European countries.

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  • The ArcOGEN Consortium

    Funded by The Arthritis Research Campaign (ARC)
    Osteoarthritis is the most common form of arthritis and has a huge clinical and economic impact. The disease has a complex aetiology but genetic factors play an important role in pathogenesis.

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  • The Genetic Epidemiology of Degenerative Disc Disease

    Funded by The Wellcome Trust
    This fellowship aims to use a number of different approaches to unravel the genetic epidemiology of intervertebral disc degeneration. In particular, we use twin spine MR scans and imaging from other cohorts to meta-analyse a variable derived in each imaging system.

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  • GEFOS

    Genetic Factors for Osteoporosis
    Funded by The European Union FP7 programme
    This FP7 medium scale collaborative project funded for 5 years started early 2008. GEFOS, co-ordinated by Erasmus Medical Center, proposes to identify novel genes and pathways important in osteoporosis.

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  • Genetics of common eye diseases

    Funded by National Institute for Health Research (NIHR)
    This project continues the Department’s interest in understanding the genetic epidemiology of common eye problems, in particular myopia, age-related cataract and glaucoma, and currently dry eye disease.

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  • Rare variants in glaucoma: a whole-genome sequencing study

    Funded by Fight for Sight
    Twins with whole genome sequencing as part of the WT-Sanger 10,000 Genome Project will be analyzed with respect to quantitative phenotypes associated with glaucoma, namely intraocular pressure, optic disc size and cupping, and central corneal thickness.

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  • UK10K

    Rare Genetic Variants in Health and Disease
    Funded by The Wellcome Trust
    The UK10K project will enable researchers in the UK and beyond to better understand the link between low-frequency and rare genetic changes, and human disease caused by harmful changes to the proteins the body makes.

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  • The role of mitochondria in common disease

    Funded by Medical Research Council (MRC)
    The quantitative trait locus (QTL) on chromosome 3q influences a number of related metabolic traits (including insulin resistance) and is one of the most replicated human quantitative trait linkages to be studied.

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