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Found 16 result(s)
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Human biomaterial banks (short: biobanks) are collections of human body substances (i.e. blood, DNA, urine or tissue) connected with disease specific information. This allow for research of relations between deseases and underlying (molecular) modifications and paves the way for developing target-oriented therapies ("personalized medicine"). The biobank material arises from samples taken for therapeutical or diagnostic reasons or is extracted in the context of clinical trials. An approval for usage by the patient is always needed prior to any research activities.
DNASU is a central repository for plasmid clones and collections. Currently we store and distribute over 200,000 plasmids including 75,000 human and mouse plasmids, full genome collections, the protein expression plasmids from the Protein Structure Initiative as the PSI: Biology Material Repository (PSI : Biology-MR), and both small and large collections from individual researchers. We are also a founding member and distributor of the ORFeome Collaboration plasmid collection.
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The Community Data Program (CDP) is a membership-based community development initiative open to any Canadian public, non-profit or community sector organization with a local service delivery or public policy mandate. The program facilitates access to the evidence needed to tell our stories and inform effective and responsive policy and program design and implementation. The CDP makes data accessible and useful for all members with training and capacity building resources. Through its vibrant network, the CDP facilitates and supports dialogue and the sharing of best practices in the use of community data. The CDP has emerged as a unique Canada-wide platform for generating information, convening and collaborating.
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Exposures in the period from conception to early childhood - including fetal growth, cell division, and organ functioning - may have long-lasting impact on health and disease susceptibility. To investigate these issues the Danish National Birth Cohort (Better health in generations) was established. A large cohort of pregnant women with long-term follow-up of the offspring was the obvious choice because many of the exposures of interest cannot be reconstructed with suffcient validity back in time. The study needed to be large, and the aim was to recruit 100,000 women early in pregnancy, and to continue follow-up for decades. Exposure information was collected by computer-assisted telephone interviews with the women twice during pregnancy and when their children were six and 18 months old. Participants were also asked to fill in a self-administered food frequency questionnaire in mid-pregnancy. Furthermore, a biological bank has been set up with blood taken from the mother twice during pregnancy and blood from theumbilical cord taken shortly after birth.
THIN is a medical data collection scheme that collects anonymised patient data from its members through the healthcare software Vision. The UK Primary Care database contains longitudinal patient records for approximately 6% of the UK Population. The anonymised data collection, which goes back to 1994, is nationally representative of the UK population.
The Fragile Families and Child Wellbeing Study changed its name to The Future of Families and Child Wellbeing Study (FFCWS). Note that all documentation issued prior to January 2023 contains the study’s former name. Any further reference to FFCWS should kindly observe this name change. The Fragile Families & Child Wellbeing Study is following a cohort of nearly 5,000 children born in large U.S. cities between 1998 and 2000 (roughly three-quarters of whom were born to unmarried parents). We refer to unmarried parents and their children as “fragile families” to underscore that they are families and that they are at greater risk of breaking up and living in poverty than more traditional families. The core Study was originally designed to primarily address four questions of great interest to researchers and policy makers: (1) What are the conditions and capabilities of unmarried parents, especially fathers?; (2) What is the nature of the relationships between unmarried parents?; (3) How do children born into these families fare?; and (4) How do policies and environmental conditions affect families and children?
HumanCyc provides an encyclopedic reference on human metabolic pathways. It provides a zoomable human metabolic map diagram, and it has been used to generate a steady-state quantitative model of human metabolism. 2016: Subscriptions are now required to access HumanCyc. For more information on obtaining a subscription, click here: http://www.phoenixbioinformatics.org/biocyc#product-biocyc-subscription
The European Prospective Investigation into Cancer and Nutrition (EPIC) study is one of the largest cohort studies in the world, with more than half a million (521 000) participants recruited across 10 European countries and followed for almost 15 years. EPIC was designed to investigate the relationships between diet, nutritional status, lifestyle and environmental factors, and the incidence of cancer and other chronic diseases. EPIC investigators are active in all fields of epidemiology, and important contributions have been made in nutritional epidemiology using biomarker analysis and questionnaire information, as well as genetic and lifestyle investigations.
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CanPath is Canada’s largest population health cohort and a national platform for population-level health research.It is a unique Canadian platform allowing scientists to explore the complex factors that contribute to disease. It is a deeply characterized cohort of individuals who have provided broad consent and now include two per cent of all Canadians between 30 and 74 years of age. CanPath can save researchers time — sometimes up to a decade — associated with arranging and measuring their own population samples. Researchers around the world can readily integrate CanPath data into their own studies. The standardization and harmonization of data across CanPath’s regional cohorts has been facilitated by Maelstrom Research.
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More than a quarter of a million people — one in 10 NSW men and women aged over 45 — have been recruited to our 45 and Up Study, the largest ongoing study of healthy ageing in the Southern Hemisphere. The baseline information collected from all of our participants is available in the Study’s Data Book. This information, which researchers use as the basis for their analyses, contains information on key variables such as height, weight, smoking status, family history of disease and levels of physical activity. By following such a large group of people over the long term, we are developing a world-class research resource that can be used to boost our understanding of how Australians are ageing. This will answer important health and quality-of-life questions and help manage and prevent illness through improved knowledge of conditions such as cancer, heart disease, depression, obesity and diabetes.
!!! >>> merged with https://www.re3data.org/repository/r3d100012653 <<< !!! RDoCdb is an informatics platform for the sharing of human subjects data generated by investigators as part of the NIMH's Research Domain Criteria initiative, and to support this initiative's aims. It also accepts and shares appropriate data related to mental health from other sources.
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The Better Outcomes Registry & Network (BORN) is Ontario's prescribed perinatal, newborn and child registry with the role of facilitating quality care for families across the province. BORN collects, interprets, shares and rigorously protects high-quality data essential to making Ontario the safest place in the world to have a baby.
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The Canadian Institute for Health Information (CIHI) provides comparable and actionable data and information that are used to accelerate improvements in health care, health system performance and population health across Canada.
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The Trøndelag Health Study (The HUNT Study) is one of the largest health studies ever performed. It is a unique database of questionnaire data, clinical measurements and samples from a county’s inhabitants from 1984 onwards. The HUNT Study is well-known in the county of Trøndelag, and its inhabitants have a generally positive attitude to participation and health research resulting from the study. HUNT has high participation rates, providing a good base for further health surveys in the county and an excellent research environment. Today, HUNT Research Centre has a database with information on 230,000 people. Approximately 300 national and international research projects are currently using the samples and data from HUNTs collection.