Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www.nibib.nih.gov/Research/MultiScaleModeling/IMAG
The purpose of IMAG is to bring together program officers who have a shared interest in applying modeling and analysis methods to biomedical systems. The meetings are formatted to facilitate an open discussion of what is currently being supported, and for planning future directions in these areas. At each meeting, time is allotted to hear focused presentations from one or two participants to discuss issues relating to modeling and analysis across the government agencies. Discussions also occur online, and participants are informed of talks, conferences and other activities of interest to the group. The NIH BISTIC, (Biomedical Information Science and Technology Consortium), is very supportive of IMAG and serves as the larger body at NIH for disseminating IMAG activities. Associated agencies: NIH: Center for Scientific Review, National Cancer Institute, National Center for Research Resources, National Heart, Lung and Blood Institute, National Human Genome Research Institute, National Institute on Aging, National Institute of Allergy and Infectious Diseases, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Biomedical Imaging and Bioengineering, National Institute of Child Health and Human Development, National Institute on Deafness and Other Communication Disorders, National Institute on Drug Abuse, National Institute of Environmental Health Sciences, National Institute of General Medical Sciences, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Library of Medicine NSF (National Science Foundation): Directorate for Biological Sciences, Directorate for Computer and Information Science and Engineering, Directorate for Engineering, Directorate for Mathematical and Physical Sciences NASA (National Aeronautics and Space Administration): Human Research Program DOE (Department of Energy), Office of Advanced Scientific Computing Research, Office of Biological and Environmental Research DOD (Department of Defense): Air Force Office of Scientific Research (AFOSR), Army, Defense Advanced Research Projects Agency, Office of Naval Research, Telemedicine and Advanced Technology Research Center, USDA (United States Department of Agriculture), USDVA (Unites States Department of Veteran Affairs) Soliciting programs: Predictive Multiscale Models of the Physiome in Health and Disease (MSM Physiome) Initiative; and Multi-Scale Modeling (MSM) InitiativeKey words: MRI, Imaging, human.
Proper citation: Interagency Modeling and Analysis Group (RRID:SCR_007432) Copy
https://cihr-irsc.gc.ca/e/8671.html
IA (CHIR, Canada) supports research that promotes healthy aging and addresses causes, prevention, screening, diagnosis, treatment, support systems, and palliation for a wide range of conditions associated with aging. :funding resource, grants :
Proper citation: Institute of Aging - CIHR (RRID:SCR_007405) Copy
http://www.agingintervention.org/
A 501(c)(3) non-profit organization that gives out grants created to develop new therapies to control and reverse the causes of aging, as well as treat and prevent the diseases of aging. The goal is to eventually control the processes of aging, reverse their effects, and stay younger longer and ultimately create indefinite youthful, happy and productive lifespan using innovative scientific methods that are under development today in biotech companies and research labs around the world. The foundation also offers education on what we can do now to stay younger, live longer and be happier while new therapies are being developed.
Proper citation: Aging Intervention Foundation (RRID:SCR_008288) Copy
A non-profit organization that supports the advance of healthy aging through biomedical research.
Proper citation: American Federation for Aging Research (RRID:SCR_000806) Copy
http://www.lifeextensionfoundation.org/
Established in 1980, the Life Extension Foundation is a nonprofit organization, whose long-range goal is to radically extend the healthy human lifespan by discovering scientific methods to control aging and eradicate disease. The largest organization of its kind in the world, the Life Extension Foundation has always been at the forefront of discovering new scientific breakthroughs for use in developing novel disease prevention and treatment protocols to improve the quality and length of human life. Through its private funding of research programs aimed at identifying and developing new therapies to slow and even reverse the aging process, the Life Extension Foundation seeks to reduce, and ultimately eliminate, such age-related killers as heart disease, stroke, cancer and Alzheimer''s disease. Long-time members are keenly aware of the scientific research that Life Extension Foundation funds to develop validated methods to slow and reverse the aging process. Less known is Life Extension''s multi-prong program to develop safer and more effective cancer therapies. One reason we focus so heavily on cancer research is that this dreaded disease represents a roadblock in our ability to develop effective means to combat aging.
Proper citation: Life Extension Foundation (RRID:SCR_010574) Copy
Institute whose mission is to understand the molecular mechanisms that underlie the aging process and that lead to age-related diseases. They hope that eventually this knowledge can contribute to a more healthy aging of people. The central question they are aiming at answering is, What are the molecular mechanisms and genetic factors contributing to the evolution of cellular and organismal dysfunction during human aging?
Proper citation: Leibniz Institute for Age Research (RRID:SCR_011340) Copy
National institute that leads the federal government in conducting and supporting research on aging and the health and well-being of older people. The Institute seeks to understand the nature of aging and the aging process, and diseases and conditions associated with growing older, in order to extend the healthy, active years of life. In 1974, Congress granted authority to form NIA to provide leadership in aging research, training, health information dissemination, and other programs relevant to aging and older people. Subsequent amendments to this legislation designated NIA as the primary Federal agency on Alzheimer's disease research. Mission The Institute's mission is to: * Support and conduct genetic, biological, clinical, behavioral, social, and economic research on aging. * Foster the development of research and clinician scientists in aging. * Provide research resources. * Disseminate information about aging and advances in research to the public, health care professionals, and the scientific community,among a variety of audiences. Programs NIA sponsors research on aging through extramural and intramural programs. The extramural program funds research and training at universities, hospitals, medical centers, and other public and private organizations nationwide. The intramural program conducts basic and clinical research in Baltimore, MD, and on the NIH campus in Bethesda, MD.
Proper citation: National Institute on Aging (RRID:SCR_011438) Copy
Voluntary, non-profit organization dedicated to collecting and disseminating statistical data. Resource for gathering and disseminating epidemiologic data on all primary benign and malignant brain and other CNS tumors.
Proper citation: Central Brain Tumor Registry of the United States (RRID:SCR_008748) Copy
A dataset of a prospective panel study of health and aging in Mexico. The study was designed to ensure comparability with the U.S. Health and Retirement Study in many domains, and the NHANES III. The baseline survey in 2001 is nationally representative of the 13 million Mexicans born prior to 1951. The six Mexican states which are home to 40% of all migrants to the U.S. were over-sampled at a rate of 1.7:1. Spouse/partners of eligible respondents were interviewed also, even if the spouse was born after 1950. Completed interviews were obtained in 9,862 households, for a total of 15,186 individual interviews. All interviews were face-to-face, with average duration of 82 minutes. A direct interview (on the Basic questionnaire) was sought, and Proxy interviews were obtained when poor health or temporary absence precluded a direct interview. Questionnaire topics included the following: * HEALTH MEASURES: self-reports of conditions, symptoms, functional status, hygienic behaviors (e.g., smoking & drinking history), use/source/costs of health care services, depression, pain, reading and cognitive performance; * BACKGROUND: Childhood health and living conditions, education, ability to read/write and count, migration history, marital history; * FAMILY: rosters of all children (including deceased children); for each, demographic attributes, summary indicators of childhood and current health, education, current work status, migration. Parent and sibling migration experiences; * TRANSFERS: financial and time help given to and received by respondent from children, indexed to specific child; time and financial help to parent; * ECONOMIC: sources and amounts of income, including wages, pensions, and government subsidies; type and value of assets. All amount variables are bracketed in case of non-response. * HOUSING ENVIRONMENT: type, location, building materials, other indicators of quality, and ownership of consumer durables; * ANTHROPOMETRIC: for a 20% sub-sample, measured weight, height; waist, hip, and calf circumference; knee height, and timed one-leg stands. Current plans are to conduct another two follow-up surveys in 2012 and 2014 and will field the 3rd and 4th waves of survey data collection in Mexico. For the 2012 wave, interviews will be sought for: every person who was part of the panel in 2003 and their new spouse / partner, if applicable, and a new sample of persons born between 1952 and 1962. For the 2014 wave, we will follow-up the whole sample from 2012. Interviews will be conducted person-to-person. Direct interviews will be sought with all informants, but proxy interviews are allowed for those unable to complete their own interview for health or cognitive reasons. A next-of-kin interview will be completed with a knowledgeable respondent for those who were part of the panel but have died since the last interview. A sub-sample will be selected to obtain objective markers such as blood sample and anthropometric measures. Data Availability: The 2001 baseline data, 2003 follow-up data, and documentation can be downloaded. * Dates of Study: 2001-2003 * Study Features: Longitudinal, International, Anthropometric Measures * Sample Size: 2001: 15,186 (Baseline) Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00142
Proper citation: Mexican Health and Aging Study (RRID:SCR_000818) Copy
http://lgsun.grc.nia.nih.gov/cDNA/cDNA.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Project portal housing NIA Mouse EST Project, NIA Mouse cDNA Clone Sets, a NIA Mouse Gene Index, NIA Mouse cDNA Database, and NIA Mouse Microarrays. Characteristics of NIA 15K Mouse cDNA Clone Set * ~15,000 unique cDNA clones were rearrayed among 52,374 ESTs from pre- and periimplantation embryos, E12.5 female gonad/mesonephros, and newborn ovary. * Up to 50% are derived from novel genes. * ~1.5 kb average insert size. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H3001A01 to H3159G07. * Handling of NIA 15k cDNA Clone Set(June3, 2000) Characteristics of NIA mouse 7.4K cDNA Clone Set * ~7407 cDNA clones with no redundancy within the set or with NIA Mouse 15K. * ~1.5 kb average insert size for short insert clones and ~2.5-3.0 kb average insert size for long-insert enriched clones.. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H4001A01 to H4079G07. * Handling of NIA mouse 7.4k cDNA Clone Set (similar to handling of NIA mouse 15K, to be updated) Individual Clones are available from ATCC and MRC geneservice, UK. To obtain Clone, search the database using either the rearrayed clone name or GenBank accession number at the Key Word Search page. Follow the link to the sequence information page for the rearrayed clone to obtain source clone ATCC number. Clicking the ATCC number will bring up the ATCC ordering page for the source clone. There is essentially no overlap between the two clone sets (7.4K and 15K) said Minoru S.H. Ko, M.D., Ph.D., head of the Developmental Genomics and Aging Section in the NIA's Laboratory of Genetics. In addition, all cDNA clones in the NIA 7.4K set were purified by single colony isolation and sequence-verified, and more than half were prepared by a new procedure that yields long full-length cDNAs (average size 3-4 kb). The NIA Mouse 15k and 7.4k Clone Set Data and Published Microarray Data are available for download. NIA Mouse Microarrays *Microarray Data Download * 60-mer Oligo Array Platform ** (A) NIA 22k Oligo Microarray Gene List (21939 gene features) ( Carter et al 2003 ) ** (B) Agilent Mouse Development Oligo Microarray Gene List ** ( Subset of Microarray (A): 20,280 gene features ) * Data Analysis Tools
Proper citation: NIA Mouse cDNA Project Home Page (RRID:SCR_001472) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023.Consortium that developed brief, standardized and reliable procedures for the evaluation and diagnosis of patients with Alzheimer's disease (AD) and other dementias of the elderly. These procedures included data forms, flipbooks, guidebooks, brochures, instruction manuals and demonstration tapes, which are now available for purchase. The CERAD assessment material can be used for research purposes as well as for patient care. CERAD has developed several basic standardized instruments, each consisting of brief forms designed to gather data on normal persons as well as on cognitively impaired or behaviorally disturbed individuals. Such data permit the identification of dementia based on clinical, neuropsychological, behavioral or neuropathological criteria. Staff at participating CERAD sites were trained and certified to administer the assessment instruments and to evaluate the subjects enrolled in the study. Cases and controls were evaluated at entry and annually thereafter including (when possible) autopsy examination of the brain to track the natural progression of AD and to obtain neuropathological confirmation of the clinical diagnosis. The CERAD database has become a major resource for research in Alzheimer's disease. It contains longitudinal data for periods as long as seven years on the natural progression of the disorder as well as information on clinical and neuropsychological changes and neuropathological manifestations., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CERAD - Consortium to Establish a Registry for Alzheimer's Disease (RRID:SCR_003016) Copy
http://www.rand.org/labor/FLS/IFLS.html
A dataset of an on-going multi-level longitudinal survey in Indonesia that collects extensive information on socio-economic and demographic characteristics of respondents, as well as extremely comprehensive interviews with local leaders about community services and facilities. The survey is ideally suited for research on topics related to important dynamic aging processes such as the transition from self-sufficiency to dependency, the decline from robust health to frailty, labor force and earning dynamics, wealth accumulation and decumulation, living arrangements and intergenerational transfers. The first wave of IFLS was fielded in 1993 and collected information on over 30,000 individuals living in 7,200 households. The sample covers 321 communities in 13 provinces in Indonesia and is representative of about 83% of the population. These households were revisited in 1997 (IFLS2), 2000 (IFLS3), and 2007-8 (IFLS4). A 25% sub-sample of households was re-interviewed in 1998 (IFLS2+). Special attention is paid to the measurement of health, including the measurement of anthropometry, blood pressure, lung capacity, a mobility test and collection of dry blood spots by a nurse or doctor. In addition to comprehensive life history data on education, work, migration, marriage and child bearing, the survey collects very detailed information on economic status of individuals and households. Links with non co-resident family members are spelled out in conjunction with information on borrowing and transfers. Information is gathered on participation in community activities and in public assistance programs. Measurement of health is a major focus of the survey. In addition to detailed information about use of private and public health services along with insurance status, respondents provide a self-reported assessment of health status. Detailed information on the local economy and prices of goods and services are also collected. These data may be matched with the individual and household-level data. Considerable attention has been placed on minimizing attrition in IFLS. In each re-survey, about 95% of households have been re-contacted. Around 10-15% of respondents have moved from the location in which they were interviewed in the previous wave. In addition, individuals who split-off from the original households have been followed. They have added around 1,000 households to the sample in 1997 and about 3,000 households in 2000. Data Availability: IFLS1 data are available through ICPSR as study number 6706. Data from subsequent waves of the IFLS can be accessed from the RAND project Website. * Dates of Study: 1993-2008 * Study Features: Longitudinal, International, Anthropometric Measures, Biomarkers * Sample Size: ** 1993: 22,000 (IFLS1) ** 1997: 33,000 (IFLS2) ** 1998: 10,000 (IFLS2+) ** 2000: 37,000 (IFLS3) ** 2008: 44,103 (IFLS4) Links: * IFLS1 ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06706 * IFLS ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00184
Proper citation: Indonesia Family Life Survey (RRID:SCR_005695) Copy
http://ki.se/imm/cefalo-studien
Saliva taken from participants in a study investigating the association between environmental exposures and brain tumors in children aged 7-19 years and the interaction between these risk factors and genetic polymorphisms, which may confer susceptibility to effects of exogenous agents. Sample types: * Saliva Number of sample donors: 886 (sample collection completed)
Proper citation: KI Biobank - CEFALO (RRID:SCR_006034) Copy
http://bioinf.wehi.edu.au/folders/melanie/haploclusters.html
Software program designed to detect excess haplotypes sharing in datasets consisting of case and control haplotypes. Excess haplotype sharing can be seen around disease loci in case samples since LD persists longer here than in the controls where LD is persisting only according to the relatedness of the individuals in the population, i.e. the age of the population. (entry from Genetic Analysis Software)
Proper citation: HAPLOCLUSTERS (RRID:SCR_007439) Copy
A cell repository containing cells and DNA for studies of aging and the degenerative processes associated with it. Scientists use the highly-characterized, viable, and contaminant-free cell cultures from this collection for research on such diseases as Alzheimer's disease, progeria, Parkinson's disease, Werner syndrome, and Cockayne syndrome. The collections of the Repository include DNA and cell cultures from individuals with premature aging disorders, as well as DNA from individuals of advanced age from the the Baltimore Longitudinal Study of Aging at the Gerontology Research Center and other Longevity Collections. The Repository also includes samples from an Adolescent Study of Obesity, Apparently Healthy Controls, Animal Models of Aging, and both human and animal differentiated cell types. The cells in this resource have been collected over the past three decades using strict diagnostic criteria and banked under the highest quality standards of cell culture. Scientists can use the highly-characterized, viable, and contaminant-free cell cultures from this collection for genetic and cell biology research.
Proper citation: Aging Cell Repository (RRID:SCR_007320) Copy
A dataset of a panel study of a representative sample of all neighborhoods and households in Los Angeles County, with poor neighborhoods and families with children oversampled, for investigating the social and economic determinants of health and race and ethnic disparities. The study follows neighborhoods over time, as well as children and families. Two waves have been conducted to date, in 2000-2001 (L.A.FANS 1) and again beginning in 2006 through early 2009 (L.A. FANS 2). L.A.FANS-2 will significantly enhance the utility of the L.A.FANS data for studies of adult health disparities by: 1) Replicating self-reported health measures from L.A.FANS-1 and collecting new self-reports on treatment, health behaviors, functional limitations, quality and quantity of sleep, anxiety, health status vignettes, and changes in health status since the first interview; 2) Collecting physiological markers of disease and health status, including diabetes, hypertension, obesity, lung function, immune function, and cardiovascular disease; and 3) Expanding the data collected on adults'' work conditions, stressful experiences, and social ties. Wherever possible, L.A.FANS uses well-tested questions or sections from national surveys, such as the Health and Retirement Study (HRS), Panel Study of Income Dynamics (PSID), National Longitudinal Surveys (NLS), and National Health Interview Survey (NHIS), and other urban surveys, such as the Project on Human Development in Chicago Neighborhoods, to facilitate comparisons. Data Availability: Public use data, study design, and questionnaire content from L.A.FANS are available for downloading. Researchers can also apply for a restricted use version of the L.A.FANS-1 data that contain considerable contextual and geographically-referenced information. Application procedures are described at the project Website. L.A.FANS-2 fieldwork was completed at the end of 2008. The PIs anticipate L.A.FANS-2 public use data will be released in summer 2009. * Dates of Study: 2000-2008 * Study Features: Longitudinal, Minority Oversamples, Anthropometric Measures, Biospecimens * Sample Size: ** 2000-1: 2,548 (L.A.FANS 1) ** 2006-8: ~3,600 (L.A.FANS 2) Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00172
Proper citation: Los Angeles Family and Neighborhood Survey (RRID:SCR_008923) Copy
A study that characterizes the extent of change in body composition in older men and women, identifies clinical conditions accelerating these changes, and examines the health impact of these changes on strength, endurance, disability, and weight-related diseases of old age. The study population consists of 3,075 persons age 70-79 at baseline with about equal numbers of men and women. Thirty-three percent of the men are African-Americans as are 46% of the women. All persons in the study were selected to be free of disability in activities of daily living and free of functional limitation (defined as any difficulty walking a quarter of a mile or any difficulty walking up 10 steps without resting) at baseline. The core yearly examination for HEALTH ABC includes measurement of body composition by dual energy x-ray absorptio��������metry (DXA), walking ability, strength, an interview that includes self-report of limitations, a medication survey, and weight (Measurements in the Health ABC Study). Provision has been made for banking of blood specimens and extracted DNA (HealthABC repository). Study investigators are open to collaboration especially for measures focused on obesity and associated weight-related health conditions including osteoporosis, osteoarthritis, pulmonary function, cardiovascular disease, vascular disease, diabetes and glucose intolerance, and depression. The principal goals of the HEALTH ABC are: # To assess the association of baseline body weight, lean body mass, body fat, and bone mineral content, in relation to weight history, with: incident functional limitation; incidence and change in severity of weight-related health conditions; recovery of physical function after an acute event; baseline measures of strength, fitness and physical performance; gender, ethnicity and socioeconomic status # To access the contribution of episodes of severe acute illness in healthier older persons to changes in body weight, bone mineral content, lean body mass and body fat, and the relationship of these episodes to risk of functional limitation and recovery. # To assess the impact of weight-related co-morbid illness on the risk of functional limitation and recovery. # To assess the ways in which physiologic mediators of change in body composition influence and are influenced by changes in health in older adults and contribute to change in body composition; to understand how changes in body composition affect weight-related cardiovascular disease risk factors such as lipids, blood pressure and glucose tolerance. # To assess the interdependency of behavioral factors, such as nutrition and physical activity, co-morbid health conditions, and their association with change in body composition in old age. # To provide a firm scientific basis for understanding issues related to weight recommendations in old age through increased knowledge of the potential trade-offs between weight and risk of functional limitation, disability, morbidity and death; to provide information critical for developing effective strategies for the maintenance of health in older persons.
Proper citation: Dynamics of Health Aging and Body Composition (Health ABC) (RRID:SCR_008813) Copy
http://ki.se/sites/default/files/str_artikel_tchad.pdf
Data and biomaterial from a longitudinal study of 1,500 Swedish twin pairs from age 8 to age 20. Twins, parents, and teachers responded to 4 waves of questionnaires (1994, 1999, 2002, 2006) and a clinical interview. In the last follow up (2006) 1325 biological samples for DNA-extraction were collected. A paper that describes the study was published (Lichtenstein, Tuvblad, Larsson, Carlstrom, 2007, Twin Research and Human Genetics). Twins were followed prospectively from childhood to emerging adulthood. The data include a broad spectrum of measures of environments as well as internalizing and externalizing problems behaviors from different informants (twins, parents, teachers, clinical assessments).
Proper citation: Twin Study of Child and Adolescent Development - TCHAD (RRID:SCR_008897) Copy
http://hrsonline.isr.umich.edu/
A data set of a longitudinal panel study of health, retirement, and aging that surveys a representative sample of more than 26,000 Americans over the age of 50 every two years. The HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. The study captures a dynamic picture of an aging America''s physical and mental health, insurance coverage, financial status, family support systems, labor market status, and retirement planning. The sample in 2006 numbered over 22,000 persons in 13,100 households, with oversamples of Hispanics, Blacks and Florida residents. Beginning in 2006, half the sample received enhanced face-to-face follow-ups that included the collection of physical measures and biomarkers HRS provides a research data base that can simultaneously support continuous cross-sectional descriptions of the US population over the age of fifty-five, longitudinal studies of a given cohort over a substantial period of time (up to 18 years by 2010 for the original HRS cohort, following them from age 51-61 to age 69-79) and research on cross-cohort trends. By 2010 the HRS will be able to support cross-cohort comparisons of trajectories of health, labor supply, or wealth accumulation for persons who entered their 50s in 1992, 1998 and 2004. The HRS also has provided the sampling frame for targeted sub-studies. The Aging, Demographics, and Memory Study (ADAMS) supplement on dementia involved a field assessment of a sample of about 930 HRS panel members aged 75+ to clinically assess their dementia status and dementia severity. Special topics including consumption and time use, prescription drug use and the impact of Medicare Part D, parents'' human capital investments in children, and diabetes management by self-reported diabetics, have appeared on mail surveys that have used the HRS as a sampling frame. The HRS also can accommodate a number of experimental topics using Internet interviewing. The HRS is also characterized by links to a rich array of administrative data, including: Employer Pension Plans; National Death Index; Social Security Administration earnings and (projected) benefits data; W-2 self-employment data; and Medicare and Medicaid files. The HRS has actively collaborated with other longitudinal studies of aging in other countries (e.g., ELSA, SHARE, MHAS), providing both scientific and technical assistance. Data Availability: All publicly available data may be downloaded after registration. Early Release data files are typically available within three months of the end of each data collection, with the Final Release following at 24 months after the close of data collection activities. Files linked with administrative data are released only as restricted data through an application process, as outlined on the HRS website. * Dates of Study: 1992-present * Study Features: Longitudinal, Minority Oversamples, Anthropometric Measures, Biospecimens * Sample Size: 22,000+ Link * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06854
Proper citation: Health and Retirement Study (RRID:SCR_008930) Copy
http://ki.se/en/research/spotlight-on-parkinsons-disease
The primary purpose is to assess the importance of environmental factors for Parkinson's Disease (PD) in a population-based sample of Swedish twins. In PD discordant twin pairs, what are the environmental factors that contribute to the disease in the affected twin and or protect the unaffected twin? Second, we want to investigate whether the earlier reports of low heritability for elderly male twins can be confirmed for female pairs. All twins 55 years of age and older in the Swedish Twin Registry have been screened for most complex diseases. 626 twins have screened positive for PD and most pairs are discordant. To establish diagnosis, a physician will examine all potential cases and their co-twins and their medical records will be reviewed. Environmental factors will be studied through the use of discordant pairs, where genetic susceptibility to the disease can be controlled. Environmental exposures are being secured with telephone interviews and from a questionnaire collected 30 years ago. Recent results indicate that genetic factors play a very small role. A better understanding of the etiology of PD is important for the possibility of delaying onset or even preventing the disease, as well as for providing guidance for molecular biology studies. Types of samples * DNA Number of sample donors: 333 (sample collection completed)
Proper citation: KI Biobank - Parkinson (RRID:SCR_008866) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within RRID that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.