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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   

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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   

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http://neurogenetics.nia.nih.gov

A suite of web-based open source software programs for clinical and genetic study. The aims of this software development in the Laboratory of Neurogenetics, NIA, NIH are * Build retrievable clinical data repository * Set up genetic data bank * Eliminate redundant data entries * Alleviate experimental error due to sample mix-up and genotyping error. * Facilitate clinical and genetic data integration. * Automate data analysis pipelines * Facilitate data mining for genetic as well as environmental factors associated with a disease * Provide an uniformed data acquisition framework, regardless the type of a given disease * Accommodate the heterogeneity of different studies * Manage data flow, storage and access * Ensure patient privacy and data confidentiality/security. The GERON suite consists of several self contained and yet extensible modules. Currently implemented modules are GERON Clinical, Genotyping, and Tracking. More modules are planned to be added into the suite, in order to keep up with the dynamics of the research field. Each module can be used separately or together with others into a seamless pipeline. With each module special attention has been given in order to remain free and open to the academic/government user., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GERON (RRID:SCR_008531) Copy   

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https://www.nitrc.org/projects/gmac_2012/

Open-source software toolbox implemented multivariate spectral Granger Causality Analysis for studying brain connectivity using fMRI data. Available features are: fMRI data importing, network nodes definition, time series preprocessing, multivariate autoregressive modeling, spectral Granger causality indexes estimation, statistical significance assessment using surrogate data, network analysis and visualization of connectivity results. All functions are integrated into a graphical user interface developed in Matlab environment. Dependencies: Matlab, BIOSIG, SPM, MarsBar.

Proper citation: GMAC: A Matlab toolbox for spectral Granger causality analysis of fMRI data (RRID:SCR_009581) Copy   

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http://www.tcd.ie/IMM/trinity-biobank/index.php

The Trinity Biobank was established in 2005 to serve the needs of researchers in the area of genetic epidemiology, population genetics and pharmacogenomics. Its services are available to researchers not only in Trinity College but to other institutions at home and abroad. We provide an automated DNA extraction service purifying large volumes blood (up to 10mL whole blood) and tissue DNA for archival and other purposes. In addition it makes available purified DNA and associated GWAS data from 2000 healthy donors for research use. A key requirement for reliable downstream use of DNA is purity and strand size. The quality of DNA in blood and tissue deteriorates upon storage without purification even at -80 degrees C. We ensure rapid turnaround of biological samples through automated extraction using the Qiagen Autopure system based on optimized ''salting out'' chemistry. The purified DNA sample may then be stored safely at -20 degrees C without deterioration thus freeing up valuable -80 degree C freezer space and the associated capital and maintenance cost as well as security and lab space provision. Automated DNA extraction is particularly suitable for high-throughput sample processing called for in epidemiological studies or simply for clearing sample inventory backlogs. The Trinity Biobank distributes control DNA to researchers as part of its remit to enhance the level of research activity and to synergize molecular medicine research nationally and internationally. The buffy coat collection has been made possible with the cooperation of the Irish Blood Transfusion Service (IBTS). An important requirement to access the collection is that the use of the samples relates only to ethically-approved research and to specifically-nominated research projects. The DNA collection consists of high quality human genomic DNA. Each of the available 2,000 samples is from a single individual and each sample comes with the age and gender data of the donor. The buffy coat sample is derived from the total white cell compliment (50mL buffy coat) of a blood donation (c 400mL). We will endeavor to fulfill samples number requests based on age and gender as best as possible. This collection has also been genotyped using the Affymetrix Genome-Wide Human SNP Array 6.0, featuring 1.8 million genetic markers, including more than 906,600 single nucleotide polymorphisms (SNPs) and more than 946,000 probes for the detection of copy number variation (CNV). The DNA comes available as a 100ng/uL in 100uL of TE Buffer, ie in 10ug amounts in a separate screw-cap ampoule. The ampoules are shipped in 100-tube boxes (Sarstedt). Corresponding plasma (ACD) is also available on request. Genotype data is supplied in PLINK binary PED files format (http://pngu.mgh.harvard.edu/~purcell/plink/ ).

Proper citation: Trinity Biobank (RRID:SCR_013279) Copy   

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http://www.cristudy.org/Chronic-Kidney-Disease/Chronic-Renal-Insufficiency-Cohort-Study/

A prospective observational national cohort study poised to make fundamental insights into the epidemiology, management, and outcomes of chronic kidney disease (CKD) in adults with intended long-term follow up. The major goals of the CRIC Study are to answer two important questions: * Why does kidney disease get worse in some people, but not in others? * Why do persons with kidney disease commonly experience heart disease and stroke? The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples. The CRIC Study has enrolled over 3900 men and women with CKD from 13 recruitment sites throughout the country. Following this group of individuals over the past 10 years has contributed to the knowledge of kidney disease, its treatment, and preventing its complications. The NIDDKwill be extending the study for an additional 5 years, through 2018. An extensive set of study data is collected from CRIC Study participants. With varying frequency, data are collected in the domains of medical history, physical measures, psychometrics and behaviors, biomarkers, genomics/metabolomics, as well as renal, cardiovascular and other outcomes. Measurements include creatinine clearance and iothalamate measured glomerular filtration rate. Cardiovascular measures include blood pressure, ECG, ABI, ECHO, and EBCT. Clinical CV outcomes include MI, ischemic heart disease-related death, acute coronary syndromes, congestive heart failure, cerebrovascular disease, peripheral vascular disease, and composite outcomes. The CRIC Study has delivered in excess of 150,000 bio-samples and a dataset characterizing all 3939 CRIC participants at the time of study entry to the NIDDKnational repository. The CRIC Study will also be delivering a dataset to NCBI''''s Database for Genotypes and Phenotypes.

Proper citation: Chronic Renal Insufficiency Cohort Study (RRID:SCR_009016) Copy   

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http://www.fetk.org/

The Finite Element ToolKit (FETK) is a collaboratively developed, evolving collection of adaptive finite element method (AFEM) software libraries and tools for solving coupled systems of nonlinear geometric partial differential equations (PDE). The FETK libraries and tools are written in an object-oriented form of ANSI-C and in C , and include a common portability layer (MALOC) for all of FETK, a collection of standard numerical libraries (PUNC), a stand-alone high-quality surface and volume simplex mesh generator (GAMer), a stand-alone networked polygon display tool (SG), a general nonlinear finite element modeling kernel (MC), and a MATLAB toolkit (MCLite) for protyping finite element methods and examining simplex meshes using MATLAB. The entire FETK Suite of tools is highly portable (from iPhone to Blue Gene/L), thanks to use of a small abstraction layer (MALOC) and heavy use of the GNU Autoconf infrastructure. The primary FETK ANSI-C software libraries are: :- MALOC is a Minimal Abstraction Layer for Object-oriented C/C programs. :- PUNC is Portable Understructure for Numerical Computing (requires MALOC). :- GAMer is a Geometry-preserving Adaptive MeshER (requires MALOC). :- SG is a Socket Graphics tool for displaying polygons (requires MALOC). :- MC is a 2D/3D AFEM code for nonlinear geometric PDE (requires MALOC; optionally uses PUNC GAMER SG). Application-specific software designed for use with the FETK software libraries is: :- GPDE is a Geometric Partial Differential Equation solver (requires MALOC PUNC MC; optionally uses GAMER SG). :- APBS is an Adaptive Poisson-Boltzmann Equation Solver (requires MALOC PUNC MC; optionally uses GAMER SG). :- SMOL is a Smoluchowki Equation Solver solver (requires MALOC PUNC MC; optionally uses GAMER SG). MATLAB toolkits designed for use with MC and SG or as standalone packages: :- MCLite is a simple 2D MATLAB version of MC designed for teaching. :- FEtkLAB is a sophisticated 2D MATLAB adaptive PDE solver built on top of MCLite. Related packages developed and maintained by FETK developers (included in PUNC above): :- PMG is a Parallel Algebraic MultiGrid code for general semilinear elliptic equatons. :- CgCode is a package of Conjugate gradient Codes for large sparse linear systems. Sponsors: This resource is developed and supported by the MCP Research Group at the UCSD Center for Computational Mathematics.

Proper citation: Finite Element Toolkit (RRID:SCR_008682) Copy   

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https://cran.r-project.org/web/packages/snp.plotter/index.html

An R package that creates publishable-quality plots of p-values using single SNP and/or haplotype data. Main features of the package include options to display a linkage disequilibrium (LD) plot and the ability to plot multiple sets of results simultaneously. Plots can be created using global and/or individual haplotype p-values along with single SNP p-values. Images are created as either Portable Document Format (PDF) or Encapsulated (EPS) files. (entry from Genetic Analysis Software)

Proper citation: R/SNP.PLOTTER (RRID:SCR_009376) Copy   

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http://www.bonebank.com

Biotechnology company dedicated to enhancing quality of patient care through development and manufacture of safe, high quality allograft solutions for healthcare professionals.

Proper citation: Texas Human Biologics (RRID:SCR_010523) Copy   

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https://www.lifegene.se/In-english/

Swedish study to get a better understanding of how genes, environment and way of life affect health that will enable access to the longitudinal data on 500,000 participants after ethical approval. Half a million people in Sweden between the ages of 0 and 45 will be recruited as volunteers for 6 to 8 years. People between 18 and 45 will be invited and they may, in turn, bring children and other people that they live with into the project. Participants will be followed for many years with regular online surveys and health checks. Their blood and urine samples will also be stored in a biobank. All the data will form a very large information base, where researchers can follow what happens with people''''s health. The LifeGene test center will measure height, hip, waist and chest measurements. A so-called spirometry test will be conducted which measures lung function, a hearing test and bioimpedance measurement (includes weight, BMI and distribution of body fat and muscle mass). They also take blood and urine samples and measure blood pressure and pulse. LifeGene foresees a lot of different research cooperation. Everything from simple withdrawal of longitudinal data, leverage of LifeGene infrastructure and cooperation between LifeGene and complementing scientific projects covering specific areas in more depth. LifeGene will enable access to unique longitudinal data on 500,000 participants available for researchers after ethical approval. LifeGene is also an infrastructure with Test Centers covering most of Sweden, logistics for sample management from arm-to-freezer and state-of-the-art large scale automatic biobanking enabling low cost, high quality, fast withdrawal of biological samples.

Proper citation: LifeGene (RRID:SCR_010524) Copy   

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http://www.psbc.org/home/index.htm

At Puget Sound Blood Center, when we talk about the work of our Research Institute, what we are really talking about is saving lives. Many recognize the lifesaving work of the Blood Center for its role in maintaining the blood supply for Western Washington. But that is only the beginning of how the Blood Center touches the lives of people all over the world. The Blood Center is widely considered the premier knowledge source on blood research and transfusion medicine and has been developing cutting-edge technologies and establishing best practices in this field for over sixty-six years. Medical institutions worldwide rely on the Blood Center''s research work. Scientific equipment manufacturers, as well as pharmaceutical companies turn to the Blood Center for help in developing effective equipment and successful therapies that are saving lives around the world every day.

Proper citation: Puget Sound Blood Center (RRID:SCR_010527) 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://www.centreducancer.be/en/show/index/section/8/page/34

When a patient suffering or thought to be suffering from cancer is cared for, samples are often taken to determine the precise diagnosis and to determine any treatment necessary. After this essential stage of the patient''s care, unused biological material is sometimes left over. This material is an essential and precious tool for research into cancer. For this reason, patients can decide to make the material available to researchers the world over who study either the development mechanism of cancer or the new treatments available. Residual samples are centralized and stored in the Tumor Bank at the Cliniques Universitaires Saint-Luc Cancer Centre. The research carried out on this material primarily benefits cancer patients. It can help improve existing treatments or discover new drugs, and also allows new diagnostic tools to be tested. Any financial profits obtained from assessing the results obtained are entirely reinvested in the work of the Cancer Centre''s Tumour Bank and in new research projects at the Catholic University of Louvain. Using and sharing material, and verification and retrospective analysis of clinical data, all comply with strict rules. As with donations of blood, marrow or organs, an Ethics Committee oversees the operations of the Tumour Bank and research projects. This committee is responsible for ensuring compliance with current Belgian and legal texts, especially those concerning the protection of patient privacy and rights.

Proper citation: Saint-Luc Tumour Bank (RRID:SCR_008714) Copy   

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http://www.nitrc.org/projects/gppi/

An automated toolbox for a generalized form of psychophysiological interactions for SPM and FSFAST. The automated toolbox can do the following: (a1) produce identical results to the current implementation in SPM (a2) use the current implementation of PPI in SPM but using the regional mean instead of the eigenvariate (a3) use a generalized form that allows a PPI for each task to be in the same model using either the regional mean of eigenvariate (b) create the model using the output of one of the (a) options and the first level design (c) estimate the model (/results directory) (d) compute the contrasts specified.

Proper citation: Generalized PPI Toolbox (RRID:SCR_009489) Copy   

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http://www.jcm.riken.go.jp/

The Microbe Division in RIKEN-BRC has been collecting, preserving, and distributing cultured microbial strains as one of the leading culture collections in the world since established as Japan Collection of Microorganisms (JCM) in 1981. JCM aims to contribute to scientific communities by maintaining and serving high-quality microbial resources useful for general microbial studies and various research fields particularly in health and environmental science. JCM has participated in the National BioResource Project supported by the Ministry of Education, Culture, Sports, Science and Technology of Japan as the core facility for General Microbes. JCM maintains approximately 19,900 strains as of Sept. 2010, and the approximate numbers of the available strains from JCM are: 7,400 strains of aerobic and anaerobic bacteria including actinomycetes, 300 strains of archaea, and 4,100 strains of fungi including yeasts (in total ca. 12,000 strains). Strains held at JCM are limited to those classified in Risk Group 1 or 2. Information of the available strains is opened to the public through the JCM On-line Catalogue Database. Genomic DNA samples of some strains are also distributed in cooperation with RIKEN BRC-DNA Bank. More than 3,500 strains are annually distributed to domestic and overseas researchers. JCM welcomes a deposit of microbial strains published or designed to be published in scientific papers as well as an order for microbial cultures.

Proper citation: JCM (RRID:SCR_010653) Copy   

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http://www.psoriasis.org/netcommunity/act_biobank

The National Psoriasis Victor Henschel BioBank is a collection of biological samples and clinical information used by qualified scientists to further the field of psoriasis genetics. Once completed, the National Psoriasis BioBank will be the largest collection of psoriasis DNA samples in the world, moving us closer to understanding the causes of psoriatic diseases, discovering more and better treatments and finding a cure. The BioBank is currently collecting DNA from people with and without psoriasis and/or psoriatic arthritis. Simply by donating your DNA����??a blood sample and a swab of your cheek cells����??and providing us with your medical history, you can help us find a cure. Samples will be processed and stored at a private laboratory and not at the National Psoriasis Foundation. The National Psoriasis BioBank is part of the Genetic Alliance BioBank (GA BioBank), a centralized repository for the collection, storage and distribution of biological samples (including DNA, serum, cells and tissues) and clinical data for genetic researchers.

Proper citation: National Psoriasis BioBank (RRID:SCR_010537) Copy   

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http://www.eurobiobank.org/en/partners/description/inncb_copy.htm#organisation

A biobank of human biological material and genetic information. It provides samples and information to researchers in order to identify new genes and clarify pathogenic mechanisms of diseases. The biobank offers biochemical and molecular diagnoses of genetic dystonias, Parkinson's disease and NBIA disorders, as well as storage of biological samples for external institutions.

Proper citation: Movement Disorders Biobank (RRID:SCR_010659) Copy   

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http://www.fruitfly.org

Database on the sequence of the euchromatic genome of Drosophila melanogaster In addition to genomic sequencing, the BDGP is 1) producing gene disruptions using P element-mediated mutagenesis on a scale unprecedented in metazoans; 2) characterizing the sequence and expression of cDNAs; and 3) developing informatics tools that support the experimental process, identify features of DNA sequence, and allow us to present up-to-date information about the annotated sequence to the research community. Resources * Universal Proteomics Resource: Search for clones for expression and tissue culture * Materials: Request genomic or cDNA clones, library filters or fly stocks * Download Sequence data sets and annotations in fasta or xml format by http or ftp * Publications: Browse or download BDGP papers * Methods: BDGP laboratory protocols and vector maps * Analysis Tools: Search sequences for CRMs, promoters, splice sites, and gene predictions * Apollo: Genome annotation viewer and editor September 15, 2009 Illumina RNA-Seq data from 30 developmental time points of D. melanogaster has been submitted to the Short Read Archive at NCBI as part of the modENCODE project. The data set currently contains 2.2 billion single-end and paired reads and over 201 billion base pairs.

Proper citation: Berkeley Drosophila Genome Project (RRID:SCR_013094) Copy   

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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   

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http://sites.duke.edu/dhhr/

A biomaterial supply resource which collects and disseminates human heart tissue. Samples include both failing and non-failing hearts, RNA/DNA analysis, tissue staining and immunofluorescence samples.The tissue that has been flash frozen and stored at -80˚C is acquired from distinct regions of the heart such as the LV free wall, septum, and valve leaflets. Individual sample sizes are typically 100-300mg for flash frozen tissues. The DHHR also serves as a resource for assay development, target identification, and sponsored research, capable of isolating cardiomyocytes from hearts and using them for in-vitro assays such as calcium handling, enzyme activity, signalling pathways and other biochemical research activities

Proper citation: Duke Human Heart Repository (RRID:SCR_013980) Copy   

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