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http://biorxiv.org/content/early/2013/11/27/000455

A subset of the CARMEN repository, a curated set of data and code of multielectrode array recordings of spontaneous activity in developing mouse and ferret retina. The data have been annotated with minimal metadata and converted into HDF5 (Hierarchical data format, version 5) including the essential features of the recordings, such as developmental age, and genotype. All code and tools used in the analyses are also fully available for reuse, giving the ability to regenerate each figure and table and know exactly how the results were calculated, adding confidence in the research output and allowing others to easily build upon previous work. The addition of published data to the repository is encouraged.

Proper citation: Retinal wave repository (RRID:SCR_010462) Copy   

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http://www.swanrepository.com/

The SWAN Repository is the biologic specimen bank of the Study of Women''s Health Across the Nation (SWAN). SWAN is a National Institutes of Health funded, multi-site, longitudinal study of the natural history of the midlife including the menopausal transition. The overall goal of SWAN is to describe the chronology of the biological and psychosocial characteristics that occur during midlife and the menopausal transition. In addition, SWAN is describing the effect of the transition and its associated characteristics on subsequent health and risk factors for age related chronic diseases. SWAN was designed to collect and analyze information on demographics, health and social characteristics, reproductive history, pre-existing illness, physical activity, and health practices of mid-life women in multi-ethnic, community-based samples; elucidate factors that differentiate symptomatic from asymptomatic women during the menopausal transition; identify and utilize appropriate markers of the aging of the ovarian-hypothalamo-pituitary axis and relate these markers to alterations in menstrual cycle characteristics as women approach and traverse the menopause; and explain factors that differentiate women most susceptible to long-term pathophysiological consequences of ovarian hormone deficiency from those who are protected. The biological specimen bank can also be linked by identification number (not by participant name) to data collected in the Core SWAN protocol. The specimen bank can also be linked with data from the Daily Hormone Study as well as menstrual calendars. Types of data include: epidemiological data, psychosocial data, physical measures, as well as data from assays (endocrine and cardiovascular information). SWAN has seven clinical study sites located in six states, two in California, and one each in Chicago, Boston, Detroit area, northern New Jersey and Pittsburgh. The SWAN cohort was recruited in 1996/7 and consists of 3302 African American, Caucasian, Chinese American, Hispanic and Japanese American women. Cohort members complete an annual clinic visit. The Core Repository includes over 1.8 million samples from the first 11 years of specimen collection. This includes samples from annual visits and samples from the Daily Hormone Sub-study (DHS). During an Annual visit, participants provide materials for up to 24-28 aliquots to be incorporated into the Repository. During a DHS visit, a participant provides 6 serum samples and between ~30-50 urine samples depending upon the length of her menstrual cycle. DHS participants (887) provide urine samples collected throughout one menstrual cycle each year. A typical DHS collection consists of a blood draw plus collection of 10 ml of urine daily throughout the month-long menstrual cycle, up to 50 days. DHS Repository samples consist of 6 serum samples and 30 5 ml urine samples. Specimen collection occurs from the time of menstrual bleed to the subsequent menstrual bleed or up to 50 days, whichever come first. The current DHS collection consists of more than 200,000 specimens stored in 5 ml vials. The SWAN DNA Repository currently contains extracted diluted DNA from 1538 SWAN participants. B-lymphocytes were transformed with Epstein Barr virus, and the resulting transformed b-cells aliquoted. Information about using these transformed cells for genomic or proteomic studies is available. DNA has been extracted from one aliquot (per woman) of the immortalized cells using the Puregene system. There was an average DNA yield of 217.0 mg/mL and a A260/A280 average ratio of 1.86. This DNA, in turn, has been aliquoted into 20ng/1 ml units for release by the DNA Repository. Samples are free of personal identifiers and collected under consents that allow a broad range of activities related to women''s health. All of these samples are available to researchers who wish to study the midlife and menopausal transition. Scientists who use these specimens can also request data collected during a participant''s annual visit including medical and health history, psychosocial measures, biological measures and anthropometry.

Proper citation: Study of Womens Health Across the Nation (SWAN) Repository (RRID:SCR_008810) Copy   

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http://www.seattle.eric.research.va.gov/VETR/biospecimen_repository.asp

The Vietnam Era Twin (VET) Registry maintains a repository of biological specimens obtained from Registry members. The VET Registry Biospecimen Repository includes DNA, plasma, and serum samples obtained from selected VET Registry members. As the VET Registry is a national resource for studies investigating genetic and non-genetic influences on health and disease in middle age men, this enhances the value of the information collected from VET Registry members to the research community. The VET Registry has developed a general system of protocols for the collection and storage of biological specimens that assures confidentiality for all participants. The biological specimens currently in use are stored at the R&D Core Laboratory at the VA Puget Sound Health Care System (VAPSHCS) in Seattle, WA. The R&D Core Laboratory performs DNA extraction procedures and separates out DNA, plasma, and serum for testing and storage. It is important to note that Core Laboratory staff has absolutely no phenotypic (non-genetic) information about VET Registry members, as the lab is completely blinded to the identity, disease characteristics, and any other research data collected from VET Registry members. The Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) Core Laboratory is located at the VA Boston Health Care System in Boston, MA, and serves as the long-term storage site for the VET Registry Biospecimen Repository. Before a VET Registry member decides whether to participate in the Biospecimen Repository, the procedures, confidentiality safeguards, and potential risks are explained in great detail. To be able to accommodate the wishes of members, a so-called layered consent process is used which allows members to choose from several options with regard to how their biological specimen will be used in current or future research studies. Such options may include: 1) not having their samples used for any testing beyond the immediate goals of the study; 2) allowing for future testing of their samples restricted to the study for which they provided the sample; or 3) allowing unrestricted future research use of their samples. Members are informed that any future use of their samples would have to be approved by the VET Registry, in addition to an independent ethics committee that protects the rights and welfare of research subjects, this board is more commonly known as an Institutional Review Board or IRB. Confidentiality safeguards include assigning code numbers, as opposed to name or other personal information, on all biological specimens. Zygosity Testing The accuracy of DNA testing makes it the best method for determining zygosity, identical (monozygotic) versus fraternal (non-identical or dizygotic), in VET Registry twin members. The use of DNA for zygosity testing is only performed when both members of a twin pair agree to the testing. Other Genetic Testing for specific genes will not necessarily involve providing the participants with test results.

Proper citation: Vietnam Era Twin Registry Biospecimen Repository (RRID:SCR_008808) Copy   

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https://www.niagads.org/

National genetics data repository facilitating access to genotypic and phenotypic data for Alzheimer's disease (AD). Data include GWAS, whole genome (WGS) and whole exome (WES), expression, RNA Seq, and CHIP Seq analyses. Data for the Alzheimer’s Disease Sequencing Project (ADSP) are available through a partnership with dbGaP (ADSP at dbGaP). Repository for many types of data generated from NIA supported grants and/or NIA funded biological samples. Data are deposited at NIAGADS or NIA-approved sites. Genetic Data and associated Phenotypic Data are available to qualified investigators in scientific community for secondary analysis.

Proper citation: National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) (RRID:SCR_007314) Copy   

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http://www.icpsr.umich.edu/icpsrweb/NACDA/

Archive of data relevant to gerontological and aging research. Used to advance research on aging. Subjects include demographic, social, economic, and psychological characteristics of older adults, physical health and functioning of older adults, and health care needs of older adults. NACDA staff represents team of professional researchers, archivists and technicians who work together to obtain, process, distribute, and promote data relevant to aging research.

Proper citation: National Archive of Computerized Data on Aging (NACDA) (RRID:SCR_005876) Copy   

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https://ida.loni.usc.edu/login.jsp

Archive used for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities.

Proper citation: LONI Image and Data Archive (RRID:SCR_007283) Copy   

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http://physionet.org/physiobank/

Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them.

Proper citation: Physiobank (RRID:SCR_006949) Copy   

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https://omictools.com/l2l-tool

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019.

Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: L2L Microarray Analysis Tool (RRID:SCR_013440) Copy   

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http://datashare.ucsf.edu/

Platform to facilitate sharing, discovery, and secure access to UCSF biomedical data. It''s powered by the Dataverse Network platform, which supports a variety of data types, as well as attribution and licensing needs. Researchers may share datasets, discover data from other labs, and reuse data. Links to tools and information that help scientists properly organize, manage, and document their datasets are also provided.

Proper citation: UCSF DataShare (RRID:SCR_004340) Copy   

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http://fcon_1000.projects.nitrc.org/indi/enhanced/

Dataset of 1000 characterized community-ascertained participants using state-of-the-art multiband imaging-based resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI), genetics, and a deep phenotyping protocol from a large cross-sectional sample of brain development, maturation and aging (ages 6 - 85 yrs). The Center for Magnetic Resonance Research (CMRR), University of Minnesota, provided the NKI-RS effort with the latest version of the Multiband EPI sequence (Xu et al. 2012) and associated image reconstruction algorithms, enabling the acquisition of state-of-the-art imaging datasets for this large-scale imaging effort. The enhanced NKI-RS expands upon the phenotypic protocol of the original NKI-RS and captures a broad range of behavioral and cognitive phenomenology relevant to psychiatric health and illness. The validity and value of assessments were evaluated by consulting leaders in the field of psychiatric phenotyping.

Proper citation: NKI-RS Enhanced Sample (RRID:SCR_010461) Copy   

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http://senselab.med.yale.edu/cellpropdb

A repository for data regarding membrane channels, receptor and neurotransmitters that are expressed in specific types of cells. The database is presently focused on neurons but will eventually include other cell types, such as glia, muscle, and gland cells. This resource is intended to: * Serve as a repository for data on gene products expressed in different brain regions * Support research on cellular properties in the nervous system * Provide a gateway for entering data into the cannonical neuron forms in NeuronDB * Identify receptors across neuron types to aid in drug development * Serve as a first step toward a functional genomics of nerve cells * Serve as a teaching aid

Proper citation: Cell Properties Database (RRID:SCR_007285) Copy   

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http://coins.mrn.org/

A web-based neuroimaging and neuropsychology software suite that offers versatile, automatable data upload/import/entry options, rapid and secure sharing of data among PIs, querying and export all data, real-time reporting, and HIPAA and IRB compliant study-management tools suitable to large institutions as well as smaller scale neuroscience and neuropsychology researchers. COINS manages over over 400 studies, more than 265,000 clinical neuropsychological assessments, and 26,000 MRI, EEG, and MEG scan sessions collected from 18,000 participants at over ten institutions on topics related to the brain and behavior. As neuroimaging research continues to grow, dynamic neuroinformatics systems are necessary to store, retrieve, mine and share the massive amounts of data. The Collaborative Informatics and Neuroimaging Suite (COINS) has been created to facilitate communication and cultivate a data community. This tool suite offers versatile data upload/import/entry options, rapid and secure sharing of data among PIs, querying of data types and assessments, real-time reporting, and study-management tools suitable to large institutions as well as smaller scale researchers. It manages studies and their data at the Mind Research Network, the Nathan Kline Institute, University of Colorado Boulder, the Olin Neuropsychiatry Research Center (at) Hartford Hospital, and others. COINS is dynamic and evolves as the neuroimaging field grows. COINS consists of the following collaboration-centric tools: * Subject and Study Management: MICIS (Medical Imaging Computer Information System) is a centralized PostgreSQL-based web application that implements best practices for participant enrollment and management. Research site administrators can easily create and manage studies, as well as generate reports useful for reporting to funding agencies. * Scan Data Collection: An automated DICOM receiver collects, archives, and imports imaging data into the file system and COINS, requiring no user intervention. The database also offers scan annotation and behavioral data management, radiology review event reports, and scan time billing. * Assessment Data Collection: Clinical data gathered from interviews, questionnaires, and neuropsychological tests are entered into COINS through the web application called Assessment Manager (ASMT). ASMT's intuitive design allows users to start data collection with little or no training. ASMT offers several options for data collection/entry: dual data entry, for paper assessments, the Participant Portal, an online tool that allows subjects to fill out questionnaires, and Tablet entry, an offline data entry tool. * Data Sharing: De-identified neuroimaging datasets with associated clinical-data, cognitive-data, and associated meta-data are available through the COINS Data Exchange tool. The Data Exchange is an interface that allows investigators to request and share data. It also tracks data requests and keeps an inventory of data that has already been shared between users. Once requests for data have been approved, investigators can download the data directly from COINS.

Proper citation: Mind Research Network - COINS (RRID:SCR_000805) Copy   

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http://www.ohsu.edu/xd/research/centers-institutes/neurology/alzheimers/research/data-tissue/biomarkers-genetics.cfm

A center that works with the Oregon Alzheimer's Disease Center's Data Core, and collects and stores tissue samples, family history and genotype data of various populations. These include samples and data from subjects from the following sources: OADC clinical studies, the Oregon Brain Aging Study, the Community Brain Donor Program, the Preventing Cognitive Decline with Alternative Therapies program (informally called the Dementia Prevention Study or DPS), the African American Dementia and Aging Project, and the Klamath Exceptional Aging Project. The collected data samples include genomic DNA, lymphoblast cell lines, genome-wide and candidate region SNP marker data, APOE, AD candidate gene markers.

Proper citation: Layton Center Biomarkers and Genetics (RRID:SCR_008824) Copy   

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http://ageing-map.org/

Database of age-related changes covering different biological levels, including molecular, physiological, psychological and pathological age-related data, to create an interactive portal that serves as a centralized collection of human aging changes and pathologies. To facilitate integrative, system-level studies of aging, the DAA provides a centralized source for aging-related data as well as basic tools to query and visualize the data, including anatomical models. Data in the DAA is manually curated from the literature and retrieved from public databases. For more detailed analyses users are able to download the entire database. More information on how to use the DAA is available on the help page. The DAA primarily focuses on human aging, but also includes supplementary mouse data, in particular gene expression data, to enhance and expand the information on human aging. If you would like to contribute to the database yourself, for instance if you have new data on aging, please use the contribute page to submit your data.

Proper citation: Digital Ageing Atlas (RRID:SCR_009020) Copy   

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http://tela.biostr.washington.edu/cgi-bin/repos/bmap_repo/main-menu.pl

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. An experiment management system for researchers studying language organization in the brain. Data from thirteen patients are available as a public demo. Language Map EMS

Proper citation: Language Map Experiment Management System (RRID:SCR_004562) Copy   

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http://www.physionet.org/

Collection of dissemination and exchange recorded biomedical signals and open-source software for analyzing them. Provides facilities for cooperative analysis of data and evaluation of proposed new algorithm. Providies free electronic access to PhysioBank data and PhysioToolkit software. Offers service and training via on-line tutorials to assist users at entry and more advanced levels. In cooperation with annual Computing in Cardiology conference, PhysioNet hosts series of challenges, in which researchers and students address unsolved problems of clinical or basic scientific interest using data and software provided by PhysioNet. All data included in PhysioBank, and all software included in PhysioToolkit, are carefully reviewed. Researchers are further invited to contribute data and software for review and possible inclusion in PhysioBank and PhysioToolkit. Please review guidelines before submitting material.

Proper citation: PhysioNet (RRID:SCR_007345) Copy   

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http://www.framinghamheartstudy.org/

A longitudinal, epidemiologic study to identify the common risk factors or characteristics that contribute to cardiovascular disease by following its development over a long period of time in a large group of participants who had not yet developed overt symptoms or suffered a heart attack or stroke. Since that time the FHS has studied three generations of participants resulting in biological specimens and data from nearly 15,000 participants. Since 1994, two groups from minority populations, including related individuals have been added to the FHS. FHS welcomes proposals from outside investigators for data and biospecimens. The researchers recruited 5,209 men and women between the ages of 30 and 62 from the town of Framingham, Massachusetts, and began the first round of extensive physical examinations and lifestyle interviews that they would later analyze for common patterns related to CVD development. Since 1948, the subjects have continued to return to the study every two years for a detailed medical history, physical examination, and laboratory tests, and in 1971, the Study enrolled a second generation - 5,124 of the original participants'''' adult children and their spouses - to participate in similar examinations. In 1994, the need to establish a new study reflecting a more diverse community of Framingham was recognized, and the first Omni cohort of the Framingham Heart Study was enrolled. In April 2002 the Study entered a new phase, the enrollment of a third generation of participants, the grandchildren of the Original Cohort. In 2003, a second group of Omni participants was enrolled. Over the years, careful monitoring of the Framingham Study population has led to the identification of major CVD risk factors, as well as valuable information on the effects of these factors such as blood pressure, blood triglyceride and cholesterol levels, age, gender, and psychosocial issues. Risk factors for other physiological conditions such as dementia have been and continue to be investigated. In addition, the relationships between physical traits and genetic patterns are being studied. FHS clinical and research data is stored in the dbGaP and NHLBI Repository repositories and may be accessed by application. Please check the following repositories before applying for data through FHS. Investigators seeking data that is not available through dbGaP or BioLINCC or seeking biological specimens may submit a proposal through the FHS web-based research application. The FHS data repository may be accessed through this FHS website, under the For Researchers link, then Description of Data, in order to determine if and how the desired data is stored. Proposals may involve the use of existing data, the collection of new data, either directly from participants or from previously collected samples, images, or other materials (e.g., medical records). The FHS Repository also has biological specimens available for genetic and non-genetic research proposals. Specimens include urine, blood and blood products, as well as DNA.

Proper citation: Framingham Heart Study (RRID:SCR_008963) Copy   

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http://www.ohsu.edu/xd/education/schools/school-of-medicine/departments/clinical-departments/pathology/research/oregon-brain-bank.cfm

Brain bank that harvests, banks and disperses postmortem tissue for use in brain and medical research. It also provides neuropathologic diagnoses of organic dementia in a cohort of NIH sponsored research subjects. The bank includes tissue primarily from patients with Alzheimer's but also includes Huntington's, Parkinson's, and other disorders.

Proper citation: Oregon Brain Bank (RRID:SCR_013085) Copy   

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http://senselab.med.yale.edu/ordb/

Database of vertebrate olfactory receptors genes and proteins. It supports sequencing and analysis of these receptors by providing a comprehensive archive with search tools for this expanding family. The database also incorporates a broad range of chemosensory genes and proteins, including the taste papilla receptors (TPRs), vomeronasal organ receptors (VNRs), insect olfaction receptors (IORs), Caenorhabditis elegans chemosensory receptors (CeCRs), and fungal pheromone receptors (FPRs). ORDB currently houses chemosensory receptors for more than 50 organisms. ORDB contains public and private sections which provide tools for investigators to analyze the functions of these very large gene families of G protein-coupled receptors. It also provides links to a local cluster of databases of related information in SenseLab, and to other relevant databases worldwide. The database aims to house all of the known olfactory receptor and chemoreceptor sequences in both nucleotide and amino acid form and serves four main purposes: * It is a repository of olfactory receptor sequences. * It provides tools for sequence analysis. * It supports similarity searches (screens) which reduces duplicate work. * It provides links to other types of receptor information, e.g. 3D models. The database is accessible to two classes of users: * General public www users have full access to all the public sequences, models and resources in the database. * Source laboratories are the laboratories that clone olfactory receptors and submit sequences in the private or public database. They can search any sequence they deposited to the database against any private or public sequence in the database. This user level is suited for laboratories that are actively cloning olfactory receptors.

Proper citation: Olfactory Receptor DataBase (RRID:SCR_007830) Copy   

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http://www.biobanks.se/medicalbiobank.htm

A biobank created from a cross-sectional population of a town in Sweden. The Medical Biobank is mainly based on three cohorts: The V��sterbotten intervention cohort, the MONICA-cohort, and the Mammary screening cohort. These sub-cohorts together are named Northern Sweden Health and Disease Study Cohort (North Health). These sub-cohorts together is named Northern Sweden Health and Disease Study Cohort (North Health). Originally, the V��sterbotten Intervention program (VIP) is a long-term project intended for health promotion of the population of V��sterbotten. All individuals 40, 50 and 60 years of age in the population of the county are invited for screening (approx. 254.000 inhabitants). They are asked to complete a questionnaire concerning various lifestyle factors including diet. They are also asked to donate a separate blood sample to the Medical Biobank for freeze storage for later research purposes. The project started in 1985 and the cohort covered in December 2002, 74,000 individuals, of whom 67,000 had donated blood samples. The material is supplemented with population based samples from a local mammary screening (44,000 sampling occasions, 25,700 unique individuals) and from the Northern Sweden MONICA Project (11,500 sampling occasions, 7,500 unique individuals). The total cohort contains at the moment 85.000 unique individuals with 130.000 sampling occasions. The VIP and MONICA cohorts are population based and the mammary screening cohort are nearly population based. Follow-up: * For the VIP-cohort a second sample (and questionnaire) is collected with a 10-year interval of the individuals within the cohort. * Repeated sampling was performed in the MONICA project in 1999 on individuals participating in 1986, 1990, and 1994. * From 1997 repeated screening has started within the mammary screening program with sampling every second year, in the age group 50-69 years within the county. Biobank content: * Life-Style Questionnaire: Every attending subject is asked to answer a questionnaire, which in the VIP and MONICA-projects includes questions about education, occupation/working conditions, daily habits including smoking, diet, etc and in the mammary screening cohort on reproductive conditions. The dietary questionnaire has been validated twice. The data from the questionnaires, as well as from results from the biobank, are kept in a database for future research purposes. The questionnaires in the VIP and the MONICA project are optically read. * Measurements: Blood Pressure, Anthropometry, Glucose Tolerance Test, Blood Lipids * Blood Samples: The attendants are asked for their willingness to donate a sample of 20-ml whole blood for future analyses. The sample is taken after 4 hours of fasting or in the morning after an over night fasting (most samples) in the VIP and MONICA cohorts. The 20-ml sample is divided into 10 subsamples consisting of 6 plasma, 2 leukocyte (buffy coat) and 2 erythrocyte samples. All material is frozen at -80 degrees C. The organization of the bank is elaborated with specially trained staff and an organization of transport-, storage- and security facilities. For DNA handling a specialized laboratory has been built up. * End-points: Mortality, Cancer events, Cardiovascular events, Other morbidity, Other registry-based follow-up * Registries: At regular intervals the cohort is scanned for incident myocardial infarctions (MI) and stroke utilizing the Northern Sweden MONICA registry and for cancer using the regional cancer registry. In the future the same procedure will be applied also on other registries e.g. diabetes, osteoporosis, dementia.

Proper citation: Medical Biobank (RRID:SCR_010748) Copy   

•   Source: SciCrunch Registry