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http://www3.marshfieldclinic.org/chg/pages/default.aspx?page=chg_pers_med_res_prj

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. A large collection of biological samples and health information collected for the Personalized Medicine Research Project (PMRP) for use in biological research. Genetic information from 20,000 participants forms a database enabling scientists to study which genes cause disease, which genes predict reactions to drugs, and how environment and genes work together to cause disease. The goal of this project is to learn how to apply genetic science to human health. This knowledge will help researchers develop new medications and diagnostic tests, and will enable physicians to prescribe medications that work best for a particular person. Marshfield Clinic Personalized Medicine Research Project (PMRP) resources currently available: DNA, plasma, serum, questionnaire, electronic medical records to construct phenotypes; ability to recontact subjects for additional information (where they have given consent for recontact); stored pathology specimens collected for clinical purposes; 51 clinically relevant polymorphisms; Illumina 660 quad for ~4200 subjects aged 50+.

Proper citation: Marshfield Clinic Biobank (RRID:SCR_004368) Copy   

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http://dbmi.mc.vanderbilt.edu/research/dnadatabank.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. BioVU is a research resource providing a View into biology at the level of DNA and other important macromolecules. BioVU has two major components. The first is a repository of DNA samples (extracted from discarded blood samples) that are coded solely by a Research Unique Identifier (RUI) derived from the Medical Record Number (MRN) using a one-way hash function. This is a computer algorithm that creates a transformation of each MRN such that the resulting RUI (which is in this instance is a 512 byte identifier) is unique, and has the property that it is not possible to infer or compute the MRN that generated it. As of early 2009, over 50,000 DNA samples were in the biobank, with new samples being added at the rate of approximately 700 per week. The second component of the resource is the creation of a database known as the Synthetic Derivative which is a collection of de-identified information extracted from VUMC''s electronic clinical information systems, indexed by the same one-way RUI used to track samples, and with content changed by deletion or permutation of all identifiers contained within each record. The Synthetic Derivative search interface is available to Vanderbilt researchers via the StarBRITE research portal created and maintained by the Vanderbilt Institute for Clinical and Translational Research. This user interface enables investigators meeting protocol approval criteria and other user agreement requirements to receive protocol-specific sets of data derived from DNA samples and from the Synthetic Derivative., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Vanderbilt BioVU (RRID:SCR_004632) Copy   

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http://www.scid4.org/

A diagnostic exam used to determine DSM-IV Axis I disorders (SCID-I) (major mental disorders) and Axis II disorders (SCID-II) (personality disorders). An Axis I SCID assessment with a psychiatric patient usually takes between 1 and 2 hours, depending on the complexity of the subject's psychiatric history and their ability to clearly describe episodes of current and past symptoms. A SCID with a non-psychiatric patient takes 1/2 hour to 1-1/2 hours. A SCID-II personality assessment takes about 1/2 to 1 hour. The instrument was designed to be administered by a clinician or trained mental health professional. (Adapter from Wikipedia)

Proper citation: Structured Clinical Interview for DSM-IV (RRID:SCR_003682) Copy   

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http://ki.se/ki/jsp/polopoly.jsp?d=29328&a=31530&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Longitudinal Assessment of Clinical Course and BIOmarkers in severe Chronic AIRway Disease (BIOAIR) is a study within the European Network For Understanding Mechanisms Of Severe Asthma (ENFUMOSA). BIOAIR study involves studies of severe asthma. The 10% of all asthmatics who have the most difficult disease has a 5-year survival in level with severe cancer diseases, as well as account for half of the costs to society of asthma. Mechanisms for the development of severe asthma, however, is unknown. BIOAIR the project characterizes clinical Phenotype and biomarkers in a study involving 12 centers in nine European countries. In a longitudinal study comparing severe asthmatics with mild asthmatics and patients with COPD (Chronic obstructive pulmonary disease). Clinical data and medicine consumption are collected daily in over a year with the help of modern IT technology. Blood tests, urine samples, upphostningsprover and bronkialbiopsier are collected repeatedly and tested for a wide range of possible pathogenetic factors, including genotype.

Proper citation: BIOAIR - BIOmarkers in severe Chronic AIRway Disease (RRID:SCR_006007) Copy   

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http://phenotips.cs.toronto.edu/

A software tool providing a Web interface and a database back-end for collecting clinical symptoms and physical findings observed in patients with genetic disorders. The main goals of this software are * To allow for collecting patient data in standard formats, enabling effortless data exchange and automated search in annotated gene and disease databases, and * To provide advanced functionalities and a friendly user interface that help reduce the clinician''''s workload, permitting seamless use of this application within the clinician''''s routine. PhenoTips uses the Human Phenotype Ontology (HPO) to express clinical phenotypes, and provides a friendly interface with error-tolerant, predictive search of phenotypic descriptions. PhenoTips closely mirrors clinician workflows: observations can be recorded directly during the patient encounter, and the interface is compatible with any device that runs a modern Web browser. The clinician can record demographic information, family history, medical history, various standard measurements, phenotypic abnormalities detected in the patient, pertinent indications that were not observed and that can be helpful for differential diagnosis, relevant images depicting manifestations of the patient''''s disorders, and additional notes for each of these categories. The software automatically plots growth curves, selects phenotypes reflecting abnormal measurements, instantly finds OMIM disorders matching the phenotypic description and suggests other symptoms to investigate in order to reach a more accurate diagnosis.

Proper citation: PhenoTips (RRID:SCR_006340) Copy   

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http://www.alz.washington.edu/

A clinical research, neuropathological research and collaborative research database that uses data collected from 29 NIA-funded Alzheimer's Disease Centers (ADCs). The database consists of several datasets, and searches may be done on the entire database or on individual datasets. Any researcher, whether affiliated with an ADC or not, may request a data file for analysis or aggregate data tables. Requested aggregate data tables are produced and returned as soon as the queue allows (usually within 1-3 days depending on the complexity).

Proper citation: National Alzheimer's Coordinating Center (RRID:SCR_007327) Copy   

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https://nda.nih.gov/oai

Centralized, annotated repository for the Osteoarthritis Initiative (OAI) study, designed to accelerate research by organizing and linking extensive clinical, imaging (MRI/X-ray), and biomarker data. It aims to help researchers analyze knee osteoarthritis prevention, treatment, and progression.

Proper citation: OAI Knowledge base (RRID:SCR_028107) Copy   

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https://medschool.vanderbilt.edu/pharmacology/

At the Department of Pharmacology at Vanderbilt University Medical Center we engage in scientific discovery to elucidate biological mechanisms and develop novel therapeutics. We provide training focused on critical thinking to promote innovation, scholarship and integrity. To this end, we foster creativity, collegiality, and leadership. The Department is one of the most distinguished Pharmacology departments in the country and have placed in the top two NIH ranking positions for sixteen of the last twenty years. Research interests in the Department include five major areas: signal transduction, neuroscience, bioactive lipid metabolism, genetic basis of cardiovascular dysfunction, and drug metabolism. Molecules under investigation include G-protein coupled receptors (rhodopsin, adrenergic, serotonin and receptors), heterotrimeric G-proteins, ion channels, transporters and regulatory proteins such as arrestins, protein kinases and protein phosphatases. A strength in our research and training environment is that Vanderbilt University has a world-acclaimed Division of Clinical Pharmacology, which links the Department of Medicine with the Department of Pharmacology. Faculty members in the Division of Clinical Pharmacology focus on human disease and clinical enigmas as the origin of their questions for research. Basic scientists who pursue their inquiries in this environment are continually informed by their colleagues of the pathophysiological and potential therapeutic relevance that can be achieved by appropriate focus of their efforts. We have created one of the first programs in the country to answer the call from the National Institutes of Health (NIH) for more scientists trained in the area of drug discovery and development. A unique feature of the department is our outstanding Ph.D. training program. Almost 60 scientists in training are addressing important issues in fields such neuroscience, cardiovascular development, receptor signaling, and drug metabolism. Scientists in these areas are linked by a common interest in, and understanding of, the basic principles of drug action and design. This perspective makes our trainees ideally suited for a wide range of careers and our program is committed to developing leaders in academia, industry, and regulatory affairs. Postdoctoral and other positions are available.

Proper citation: Vanderbilt University Medical Center Pharmacology (RRID:SCR_001450) Copy   

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http://www.pd-doc.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 02, 2011. Notice: This domain name expired on 10/29/11 and is pending renewal or deletion PD-DOC is a portal and a database resource, hosting a database and linking to other databases and data sets of clinical and translational data. PD-DOC functions to organize and facilitate clinical and translational research in Parkinson's disease. The PD-DOC Database contains standardized data collected by user institutions on large numbers of patients with Parkinsons disease and other parkinsonian disorders. In some cases, data is obtained at a single point in time, while in others data is collected repeatedly over time. The PD-DOC Database is composed of the Core Data Set (CDS) which consists of those variables required to be gathered for each subject whose data is entered into the PD-DOC database. In 2005, working groups of Udall Center and invited experts deliberated to establish the components of each CDS section (e.g. General Clinical, Cognitive/Behavioral, Postmortem Brain Neuropathological Findings). The PD-DOC CDS was established and designed to optimize data analyses and data mining for large numbers of subjects participating in a variety of research studies. In most cases corresponding DNA samples are available form the NINDS Human Genetic Repository (at Coriell). Much of the website is publicly available for viewing. To request access to sections of the website dealing with downloading or requesting data, requesting a consultation, or submitting data or other information you will need to register. Before registering, you should read the PD-DOC Policies. Note that PD-DOC data can be used for research purposes only. Once your registration is successfully completed you will be automatically logged into the website.

Proper citation: PD-DOC (RRID:SCR_001596) Copy   

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https://edic.bsc.gwu.edu

Publications from a multi-center, longitudinal, observational study examining the risk factors associated with the long-term complications of type 1 diabetes. The study began in 1994 and follows the 1441 participants previously enrolled in the Diabetes Control and Complications Trial (DCCT), http://diabetes.niddk.nih.gov/dm/pubs/control/index.aspx. The primary aim of EDIC is to examine the long-term effects of conventional vs. intensive diabetes treatment received during the DCCT on the subsequent development and progression of microvascular, neuropathic and cardiovascular complications. This involves studying the influence of genetic factors and other factors such as HbA1c, blood pressure, lipid levels, and treatment modalities on the development and progression of these complications. Annual or biennial measurements (using DCCT methods, standardized protocols and central laboratories) of vascular events, albumin excretion, GFR, ECG, ankle-brachial BP index, serum lipids and HbA1c allows the following analyses: 1) continuation of intention-to-treat analyses to determine long-term effects of prior separation of glycemic levels; 2) risk factors for macrovascular outcomes; 3) correlation of progression of micro- and macrovascular outcomes. The current updated version of the EDIC Protocol is available for download. EDIC is made up of 28 clinical centers, one data coordinating center and one clinical coordinating center.

Proper citation: Epidemiology of Diabetes Interventions and Complications (RRID:SCR_001468) Copy   

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https://clinicaltrials.gov/study/NCT01619475

Study consisting of nine liver transplant centers with expertise in adult living-donor liver transplantation (LDLT) and a central data coordinating center to provide valuable information on the outcomes of adult to adult living donor liver transplantation (AALDLT) to aid decisions made by physicians, patients, and potential donors. The study will establish and maintain the infrastructure required to accrue and follow sufficient numbers of patients being considered for and undergoing AALDLT to provide generalizable data from adequately powered studies. The major aims of A2ALL are as follows: * Quantify the impact of choosing LDLT on the candidate for transplantation * Characterize the difference between LDLT and deceased donor liver transplant (DDLT) in terms of post-transplant outcomes, including patient and graft survival, surgical morbidity, and resource utilization on the recipient of a transplant * Determine the short- and long-term health and quality of life (QOL) impact of donation, including (a) morbidity after liver donation and (b) long-term health-related QOL of donors. * Standardize and assess the role of informed consent in affecting the decision to donate and satisfaction after living liver donation * Other aims include comparison of the severity of recurrence of hepatocellular carcinoma for DDLT versus LDLT, the systematic characterization of liver regeneration and function in donors and recipients, the evaluation of the differences in the immune response to LDLT versus DDLT, and the establishment of a robust data and sample repository on liver transplantation that may be used to study clinical and biological questions as new technologies and resources become available. Patients enrolled in the study will be followed and managed in a standardized fashion.

Proper citation: Adult to Adult Living Donor Liver Transplantation Cohort Study (RRID:SCR_001494) Copy   

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https://repository.niddk.nih.gov/study/119

Multi-center randomized clinical trial to determine if the addition of behavioral treatment to drug therapy for the treatment of urge incontinence will make it possible to discontinue the drug and still maintain a reduced number of accidents. The most popular treatments for urge incontinence are drug therapy and behavior therapy, each with its own limitations. In this clinical study, the Urinary Incontinence Treatment Network (UITN) aims to determine differences with the addition of behavioral treatment to drug therapy alone.

Proper citation: Behavior Enhances Drug Reduction of Incontinence (RRID:SCR_001495) Copy   

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http://pathology-anatomy.missouri.edu/research/diabetes.html

Standardization of c-peptide by calibrating C-peptide measurement to a reference method can increase comparability between laboratories. The C-peptide standardization program is supported to establish reliability in results and facilitate the conduct of international clinical trials. For c-peptide, purified or processed material shows significant matrix effects and cannot be used for calibration. The C-peptide program has evaluated the use of single donor and pooled specimens for use by manufacturers in the calibration of these assays and determined that this strategy will reduce C-peptide variability among different assay methods. The standardization process through manufacturer re-calibration is ongoing.

Proper citation: Standardization of C-peptide measurements (RRID:SCR_001499) Copy   

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http://drcrnet.jaeb.org/

A collaborative network to facilitate multicenter clinical research of diabetic retinopathy, diabetic macular edema and associated conditions. It supports the identification, design, and implementation of multicenter clinical research initiatives focused on diabetes-induced retinal disorders. Principal emphasis is placed on clinical trials, but epidemiologic outcomes and other research may be supported as well. It currently includes over 109 participating sites (offices) with over 320 physicians throughout the United States. Closed and active studies are listed along with the associated protocols, public datasets, and publications.

Proper citation: Diabetic Retinopathy Clinical Research Network (RRID:SCR_001514) Copy   

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http://www.niddklabs.org

Consortium comprised of six clinical centers and a data coordinating center to facilitate coordinated clinical, epidemiological, and behavioral research in the field of bariatric surgery, through the cooperative development of common clinical protocols and a bariatric surgery database that will collect information from participating clinical centers. LABS will help pool the necessary clinical expertise and administrative resources to facilitate the conduct of multiple clinical studies in a timely, efficient manner. Also, the use of standardized definitions, clinical protocols, and data-collection instruments will enhance the investigator's ability to provide meaningful evidence-based recommendations for patient evaluation, selection, and follow-up care. The consortium was funded in September 2003. The investigators have collaboratively developed a core database and clinical protocols, and subject enrollment began in early 2005. A repository of data and biological specimens for future research also will be collected by the centers participating in LABS. These will provide valuable resources for future study of obesity and its complications.

Proper citation: Longitudinal Assessment of Bariatric Surgery (RRID:SCR_001536) Copy   

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https://sbpdiscovery.org/tag/neuroscienceandagingresearchcenter/

Center that translates basic science discoveries into new treatments to extend lifespan and to combat degenerative disorders associated with aging or development. Their researchers are discovering the etiological pathways as well as small-molecule and stem cell-based treatments to address the clinical unmet need of these patients. The Center uses a team based approach to apply their expertise in stem cells to develop therapies for new treatments for stroke and Parkinson's disease. They are also performing high-throughput screens to identify new molecules to protect the synapses of nervesthe connections between nerves that mediate movement, memory and cognition for Alzheimer's, Parkinson's and autism. By studying the links between Down syndrome and Alzheimer's disease, they are exploring new treatments to improve cognition in both disorders. Their collaborations with clinical partners enable them to test new discoveries in human trials, with a goal to improve the lives of patients and families affected by neurodegenerative disease and aging disorders.

Proper citation: Sanford-Burnham Neuroscience and Aging Research Center (RRID:SCR_001688) Copy   

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https://radiology.duke.edu/research/centers-and-shared-resources/center-advanced-magnetic-resonance-development

Research facility of the Department of Radiology at the Duke University Medical Center (DUMC) providing access to a whole-body, commercially manufactured 3 Tesla (Trio, Siemens Medical Systems) MR Imaging and Spectroscopy System with full research capability. The Center is fully equipped to perform clinical and research MR imaging or spectroscopy studies on humans or large animals. A full range of monitoring, anesthesia, RF coil development, computer and instrumental control facilities as well as MR research technologists and physics/chemistry consultation are available to Department of Radiology researchers and their collaborators.

Proper citation: CAMRD (RRID:SCR_001713) Copy   

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http://www.nature.com/jcbfm/index.html

The Journal of Cerebral Blood Flow & Metabolism stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists. On this website, you will find the full text of articles published online weekly, in advance of print, the current issue and an archive of previous issues. You can also find general information about the journal, and more detailed information for readers, authors, referees, librarians, advertisers, and journalists. Most articles are published online before they appear in print. New papers are uploaded weekly to the Advance online publication (AOP) page. The online publication date is specified for each paper; these versions are identical to the printed version in every respect and may be cited using the digital object identifier (DOI).

Proper citation: Journal of Cerebral Blood Flow and Metabolism (RRID:SCR_001769) Copy   

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http://qnl.bu.edu/obart

Tool that provides an interactive method to examine quantitative relationships between brain regions defined by different digital atlases or parcellation methods. Its current focus is for human brain imaging, though the techniques generalize to other domains. The method offers a quantitative answer to the nomenclature problem in neuroscience by comparing brain parts on the basis of their geometrical definitions rather than on the basis of name alone. Thus far these tools have been used to quantitatively compare eight distinct parcellations of the International Consortium for Brain Mapping (ICBM) single-subject template brain, each created using existing atlasing methods. This resources provides measures of global and regional similarity, and offers visualization techniques that allow users to quickly identify the correspondences (or lack of correspondences) between regions defined by different atlases.

Proper citation: OBART (RRID:SCR_001903) Copy   

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https://www.mdcalc.com/calc/715/nih-stroke-scale-score-nihss

The National Institutes of Health Stroke Scale (NIHSS) is a systematic assessment tool that provides a quantitative measure of stroke-related neurological deficit. The NIHSS was originally designed as a research tool to measure baseline data on patients in acute stroke clinical trials. Now, the scale is also widely used as a clinical assessment tool to evaluate acuity of stroke patients, determine appropriate treatment, and predict patient outcome. The NIHSS can be used as a clinical stroke assessment tool to evaluate and document neurological status in acute stroke patients. The stroke scale is valid for predicting lesion size and can serve as a measure of stroke severity. The NIHSS has been shown to be a predictor of both short and long term outcome of stroke patients. Additionally, the stroke scale serves as a data collection tool for planning patient care and provides a common language for information exchanges among healthcare providers. Performing the scale takes between 5-8 minutes. Emergency physicians and nurses, neurologists, neuroscience nurses and other stroke team members are typical examples of who should be certified to perform the NIHSS. The NINDS/NIH training and testing DVD can be obtained from the National Institute of Neurological Disorders and Stroke. Sponsors: NIHSS is supported by the National Institute of Neurological Disorders and Stroke (NINDS).

Proper citation: National Institutes of Health Stroke Scale (RRID:SCR_001804) Copy   

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