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http://www.jaeb.org/

Freestanding, nonprofit coordinating center for multi-center clinical trials and epidemiologic research that focus on projects involving eye disorders or type 1 diabetes.

Proper citation: Jaeb Center for Health Research (RRID:SCR_001513) Copy   

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http://www.trigr.org

International, randomized, double-blinded trial to determine whether weaning to a casein hydrolysate formula during the first 6-8 months of life in place of cow milk based formula reduces the incidence of autoimmunity and type 1 diabetes in genetically susceptible newborn infants. 2160 eligible infants were randomized to test or control formulas when mothers decide to wean from exclusive breastfeeding. The participants will be monitored up to the age of 10 years for the appearance of diabetes-predictive autoantibodies and clinical type 1 diabetes. The TRIGR trial will determine whether delayed exposure to intact food proteins will reduce the chances of developing type 1 diabetes later in life. All babies in the study received the recommendation to breastfeed for at least the first six months of life. If a mother was unable to exclusively breastfeed before the baby was 8 months of age, her child was randomly assigned to one of two groups. One group of these babies received a trial formula based on extensively hydrolyzed protein; the other group received another trial formula containing a smaller amount of hydrolyzed protein. In the hydrolyzed formula, the big protein molecules have been split into very small fragments to provide a source of nutritional amino acids, but the fragments are likely too small to stimulate the immune system. The TRIGR trial will also be able to analyze whether exclusive breastfeeding per se can reduce the risk of the children to develop type 1 diabetes.

Proper citation: TRIGR (RRID:SCR_001550) Copy   

•   Source: SciCrunch Registry

http://www.immunetolerance.org/

International clinical research consortium dedicated to the clinical evaluation of novel tolerogenic approaches for the treatment of autoimmune diseases, asthma and allergic diseases, and the prevention of graft rejection. They aim to advance the clinical application of immune tolerance by performing high quality clinical trials of emerging therapeutics integrated with mechanism-based research. In particular, they aim to: * Establish new tolerance therapeutics * Develop a better understanding of the mechanisms of immune function and disease pathogenesis * Identify new biomarkers of tolerance and disease Their goals are to identify and develop treatment game changers for tolerance modulating therapies for the treatment of immune mediated diseases and disabling conditions, and to conduct high quality, innovative clinical trials and mechanistic studies not likely to be funded by other sources or to be conducted by private industry that advance our understanding of immunological disorders. In the Immune Tolerance Network's (ITN) unique hybrid academic/industry model, the areas of academia, government and industry are integral to planning and conducting clinical studies. They develop and fund clinical trials and mechanistic studies in partnership. Their development model is a unique, interactive process. It capitalizes on their wide-ranging, multidisciplinary expertise provided by an advisory board of highly respected faculty from institutions worldwide. This model gives investigators special insight into developing high quality research studies. The ITN is comprised of leading scientific and medical faculty from more than 50 institutions in nine countries worldwide and employs over 80 full-time staff at the University of California San Francisco (UCSF), Bethesda, Maryland and Benaroya Research Institute in Seattle, Washington.

Proper citation: Immune Tolerance Network (ITN) (RRID:SCR_001535) Copy   

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http://www.ncibi.org/

The Center develops conceptual models, computational infrastructure, an integrated knowledge repository, and query and analysis tools that enable scientists to effectively access and integrate the wealth of biological data. The National Center for Integrative Biomedical Informatics (NCIBI) was founded in October 2005 and is one of seven National Centers for Biomedical Computing (NCBC) in the NIH Roadmap. NCIBI is based at the University of Michigan as a part of the Center for Computational Medicine and Biology (CCMB). NCIBI is composed of biomedical researchers, computational biologists, computer scientists, developers and human-computer interaction specialists organized into seven major core functions. They work in interdisciplinary teams to collectively develop tools that are not only computationally powerful but also biologically relevant and meaningful. The four initial Driving Biological Projects (prostate cancer progression, Type 1 and type 2 diabetes and bipolar disorder) provide the nucleation point from which tool development is informed, launched, and tested. In addition to testing tools for function, a separate team is dedicated to testing usability and user interaction that is a unique feature of this Center. Once tools are developed and validated the goal of the Center is to share and disseminate data and software throughout the research community both internally and externally. This is achieved through various mechanisms such as training videos, tutorials, and demonstrations and presentations at national and international scientific conferences. NCIBI is supported by NIH Grant # U54-DA021519.

Proper citation: National Center for Integrative Biomedical Informatics (RRID:SCR_001538) Copy   

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https://www.wtccc.org.uk/

Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2.

Proper citation: Wellcome Trust Case Control Consortium (RRID:SCR_001973) Copy   

•   Source: SciCrunch Registry

http://teddy.epi.usf.edu/

International consortium of six centers assembled to participate in the development and implementation of studies to identify infectious agents, dietary factors, or other environmental agents, including psychosocial factors, that trigger type 1 diabetes in genetically susceptible people. The coordinating centers recruit and enroll subjects, obtaining informed consent from parents prior to or shortly after birth, genetic and other types of samples from neonates and parents, and prospectively following selected neonates throughout childhood or until development of islet autoimmunity or T1DM. The study tracks child diet, illnesses, allergies and other life experiences. A blood sample is taken from children every 3 months for 4 years. After 4 years, children will be seen every 6 months until the age of 15 years. Children are tested for 3 different autoantibodies. The study will compare the life experiences and blood and stool tests of the children who get autoantibodies and diabetes with some of those children who do not get autoantibodies or diabetes. In this way the study hopes to find the triggers of T1DM in children with higher risk genes.

Proper citation: TEDDY (RRID:SCR_000383) Copy   

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https://t1dexchange.org/research/biobank/

Collection of biological samples linked to participant medical data from individuals living with type 1 diabetes. Unifies samples and data from eight different clinical studies related to type 1 diabetes.

Proper citation: T1D Exchange Biobank (RRID:SCR_017195) Copy   

•   Source: SciCrunch Registry

http://nanotomy.org/

Large scale electron microscopy datasets. Large scale electron microscopy database for Human Type 1 Diabetes.

Proper citation: Nanotomy (RRID:SCR_018565) Copy   

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https://sites.google.com/ucsd.edu/drc/home

Research center across five institutions for clinical research in diabetes. Collaborators include UC San Diego's School of Medicine, Salk Institute, Cedars-Sinai Medical Center, UC Los Angeles' School of Medicine, and LA Biomedical Research Center.

Proper citation: University of California San Diego - University of California Los Angeles Diabetes Research Center (RRID:SCR_015100) Copy   

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http://www.uab.edu/shp/drc/

Research center which operates in collaboration with the University of Alabama Birmingham Comprehensive Diabetes Center to promote excellence in diabetes research and patient care. The DRC supports the areas of animal physiology, human biology and intervention and translational research. It focuses on developing new methods to treat, prevent, and ultimately cure diabetes and its complications.

Proper citation: University of Alabama at Birmingham Diabetes Research Center (RRID:SCR_015107) Copy   

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https://diabetes.med.umich.edu/partners/michigan-diabetes-research-center-mdrc

Multidisciplinary unit of the University of Michigan funded by the National Institute of Diabetes and Digestive and Kidney Diseases/National Institute of Health. Promotes new discoveries and enhance scientific progress through the support of basic and clinical research related to diabetes, its complications, and related disorders. Creates environment that supports innovative research; attracts and retains early stage investigators and investigators new to diabetes research; provides core services that leverage funding and unique expertise; fosters interdisciplinary collaborations; raises awareness and interest in fundamental and clinical diabetes research at their institutions, as well as locally, regionally, and nationally.

Proper citation: Michigan Diabetes Research Center (RRID:SCR_015112) Copy   

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http://www.baderc.org

Consortium of laboratory-based and clinical investigators who research etiology, pathogenesis, treatment and cure of type 1 and type 2 diabetes, and their associated microvascular and atherosclerotic complications.

Proper citation: Boston Area Diabetes Endocrinology Research Center (RRID:SCR_015072) Copy   

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http://www.einstein.yu.edu/centers/diabetes-research/

Research center that facilitates the research of diabetes and related studies in obesity, metabolism and endocrinology

Proper citation: Einstein-Mount Sinai Diabetes Research Center (RRID:SCR_015070) Copy   

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http://www.hopkinsmedicine.org/diabetes-research-center/

Center whose goal is to understand the causes of both type 1 and 2 diabetes and promotes translational research that is aimed at reducing the burden of these diseases in the U.S. It has a specific focus on childhood diabetes and diabetes that affects minority populations.

Proper citation: Johns Hopkins University - University of Maryland Diabetes Research Center (RRID:SCR_015086) Copy   

•   Source: SciCrunch Registry

http://www.gcdtr.org

Research center for translational research on type 2 diabetes with a strong emphasis on translation into real world health care settings and communities.

Proper citation: Georgia Center for Diabetes Translation Research (RRID:SCR_015185) Copy   

•   Source: SciCrunch Registry

https://www.niddk.nih.gov/research-funding/research-programs/hematology-centers

Online portal with thorough information about hematology research centers and cores. Each entry details the center's research aims, its activities and core services, and links to pilot programs.

Proper citation: Hematology Centers (RRID:SCR_015321) Copy   

•   Source: SciCrunch Registry

https://cdtr.wustl.edu

Research center for diabetes that offers regional and national resources to investigators for translation interventions into healthcare settings, communities, and populations at-risk. The CDTR supports studies investigating the root causes of diabetes and disparities as well as the prevention of obesity as a major contributing cause of Type 2 diabetes.

Proper citation: Washington University Center for Diabetes Translation Research (RRID:SCR_015204) Copy   

•   Source: SciCrunch Registry

http://chicagodiabetesresearch.org

Center to improve the lives of people with diabetes and people at risk for diabetes through prevention, improved diabetes care, and community empowerment.

Proper citation: Chicago Center for Diabetes Translation Research (RRID:SCR_015179) Copy   

•   Source: SciCrunch Registry

http://www.einstein.yu.edu/centers/diabetes-translational-research/

Center designed to increase collaboration and enhance communication among diabetes researchers from multiple institutions and diverse disciplines

Proper citation: New York Regional Center for Diabetes Translation Research (RRID:SCR_015174) Copy   

•   Source: SciCrunch Registry

http://derc.yale.edu

University-affiliated center that promotes research in diabetes and related metabolic and endocrine disorders at Yale University.

Proper citation: Yale Diabetes Research Center (RRID:SCR_015142) Copy   

•   Source: SciCrunch Registry