Tools   Select Another Resource Report Type

http://www.acceleratedcure.org/impact/repository

A repository of biological samples and data from people with multiple sclerosis, selected other demyelinating diseases, and unaffected controls. The repository not only provides much-needed samples and data to researchers studying MS and other diseases, but also aggregates the results from all of these studies so that they can be analyzed collectively, leading to new findings and breakthroughs. The repository collects blood, DNA, and imaging once per year. The repository currently includes samples and data from over 2,700 subjects with Multiple Sclerosis, Neuromyelitis Optica, Acute Disseminated Encephalomyelitis, Transverse Myelitis, Optic Neuritis, and Clinically Isolated Syndromes, as well as controls. Blood samples are provided as aliquots as serum, plasma, DNA, RNA, and lymphocytes and each sample is accompanied by more than 40 pages of clinical and epidemiological data contributed by the subject and the enrolling neurologist.

Proper citation: Accelerated Cure Project MS Repository (RRID:SCR_004208) Copy   

•   Source: SciCrunch Registry

http://ki.se/en/imm/eims-an-epidemiological-investigation-of-risk-factors-for-multiple-sclerosis

A multi-center population based epidemiological investigation of risk factors for Multiple Sclerosis (MS), where lifestyle- and environmental factors are examined systematically with concurrent genetic information. Newly diagnosed cases of MS in a geographically defined population and randomly chosen controls are identified and asked to answer a questionnaire on lifestyle, previous exposures at work, home and during spare time activities. For both cases and controls blood samples are taken for analysis of putative risk genes since environmental exposures probably contributes to disease only in individuals with certain genotypes. Exposures of interest are different sociodemographic factors, smoking, sunlight exposure, oral contraceptives / hormonal factors, butyrophilin (a milk protein), vaccinations, infections, atopic disease, organic solvents, mineral oils and a number of different psychosocial factors, such as critical lifetime events. Data from more than 1600 cases and 3200 controls are currently collected. (August 2014) The intention is to continue with the data collection over several years in order to analyse how genes and environment interact. The study is a collaboration between different institutions at Karolinska Institutet and neurological centers from 38 different hospitals in Sweden. Sample types * EDTA whole blood * DNA * Plasma * Serum

Proper citation: KI Biobank - EIMS (RRID:SCR_005898) Copy   

•   Source: SciCrunch Registry

http://ki.se/en/imm/gems-genes-and-environment-in-multiple-sclerosis

The study subjects invited to participate is chosen from the Swedish national Multiple Sclerosis registry and will number around 10 000 individuals to be included during two to three years. The same number of matched controls will also be included in the study. A pilot study with around 100 participants was performed during 2009, and the large scale study started in November 2009. Multiple sclerosis (MS) is a neurological disease that affects the central nervous system. It affects young people and the debut age is between 20 and 40 years. The disease comes with exacerbations but further on leads to disability. The incidence in Sweden is around 5 per 100 000 per year and the prevalence is 125 per 100 000 inhabitants. In total there are estimated around 13000 cases in Sweden and today 9000 of them are registered in the Swedish National Multiple Sclerosis register. Sample types * EDTA whole blood * DNA * Plasma Number of sample donors: 5592 (June 2010)

Proper citation: KI Biobank - GEMS (RRID:SCR_005893) Copy   

•   Source: SciCrunch Registry

http://cdmrp.army.mil/

Fund the best research to eradicate diseases and support the warfighter to benefit the American Public. They promote innovative research, recognizing untapped opportunities, creating partnerships, and guarding the public trust. Research Program topics include: * Amyotrophic Lateral Sclerosis * Autism * Bone Marrow Failure * Breast Cancer * Defense Medical Research and Development Program * Duchenne Muscular Dystrophy * Gulf War Illness * Lung Cancer * Multiple Sclerosis * Neurofibromatosis * Ovarian Cancer * Peer Reviewed Cancer * Peer Reviewed Medical * Peer Reviewed Orthopaedic * Prostate Cancer * Psychological Health / Traumatic Brain Injury * Spinal Cord Injury * Tuberous Sclerosis Complex

Proper citation: Congressionally Directed Medical Research Program (RRID:SCR_006456) Copy   

•   Source: SciCrunch Registry

https://www.biogen.com/en_us/home.html

Global biotechnology company based in Cambridge, Massachusetts, specializing in discovering, developing, and delivering important therapies for the treatment of neurodegenerative, hematologic and autoimmune diseases to patients worldwide.

Proper citation: Biogen Idec (RRID:SCR_003790) Copy   

•   Source: SciCrunch Registry

http://www.patientslikeme.com/

A for-profit health data-sharing platform that can transform the way patients manage their conditions, change the way industry conducts research and improve patient care. PatientsLikeMe aligns patient and industry interests through data-sharing partnerships. They work with trusted nonprofit, research and industry Partners who use this health data to improve products, services and care for patients. They take the information patients share about their experience with the disease and sell it to their partners (i.e., companies that are developing or selling products to patients). These products may include drugs, devices, equipment, insurance, and medical services. Except for the restricted personal information entered when registering for the site, participants should expect that every piece of information submitted (even if it is not currently displayed) may be shared with their partners and any member of PatientsLikeMe, including other patients. They do not rent, sell or share personally identifiable information for marketing purposes or without explicit consent. Because they believe in transparency, they tell members exactly what they do and do not do with their data. Patients have the opportunity to share both personal stories and health data about their conditions to help uncover great ideas and new knowledge. By sharing information on the site, they can put their disease experiences in context and find answers to the questions they have. Every partnership we develop must bring them closer to aligning patient and industry interests. Their end goal is improved patient care and quality of life.

Proper citation: PatientsLikeMe (RRID:SCR_003781) Copy   

•   Source: SciCrunch Registry

http://ranchobiosciences.com/gse13732/

Curated data set from a study that developed biomarkers that may predict development of Clinically Isolated Syndrome (CIS) into a full multiple sclerosis. Expression data was taken from 37 CIS patients and 28 healthy controls at baseline. 34 CIS patients and 10 healthy controls were resampled at a second time point, approximately one year later. Patients were followed clinically for up to two years to determine the TTC (time to conversion to MS).

Proper citation: GSE13732 (RRID:SCR_003648) Copy   

•   Source: SciCrunch Registry

http://www.polygenicpathways.co.uk

Database of disease genes and risk factors and of host pathogen/interactomes. Lists genes, pathways and environmental risk factors positively associated with diseases and conditions such as Alzheimer's disease, schizophrenia, multiple sclerosis, childhood obesity, anorexia nervosa, HIV-1/AIDS, and helicobacter pylori. Details of polymorphisms as well as negative/positive association data can be found via Useful links. Throughout the site are links to Entrez Gene and Pubmed.

Proper citation: Polygenic Pathways (RRID:SCR_006962) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.charite.de/synsysnet/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2025. A curated database for synaptic proteins that provides adequate definitions of pre- and post-synaptic proteins, proteins present in sub-domains of the synapse, e.g. the synaptic vesicle and associated proteins, lipid rafts and postsynaptic density. In addition to data that was and will be gathered from the experiments conducted within SynSys - A European expertise Network on building the synapse, they have extracted and manually curated all relevant data on these proteins from other sources and provided an ontology for these. Novel splice forms are being identified that can be matched with proteomics data. Information on proteins, their 3D structure, binding small molecules Protein-Protein-Interactions (PPIs) and Compound-Protein-Interactions are integrated. Proteins or compounds can be searched and Interactive Networks can be visualized. The point Diseases present neurological diseases, to illustrate the role of SynSysNet in the medication.

Proper citation: SynSysNet (RRID:SCR_003180) Copy   

•   Source: SciCrunch Registry

http://ucneuroscience.com/

Leading treatment, research and teaching center for complex neurological conditions based at the University Hospital and the UC College of Medicine. Its physicians and researchers have created national models for evidence-based treatment and research of complex conditions, including ischemic and hemorrhagic stroke, brain aneurysms, brain and spinal cord trauma, brain tumors, Parkinson's disease, epilepsy and seizure disorders, multiple sclerosis, trigeminal neuralgia, Alzheimer's disease and memory disorders, mood disorders, and neuromuscular disorders. UCNI includes a team of more than 100 experts from 15 specialties who collaborate across disciplines to provide the most comprehensive diagnoses and treatments possible.

Proper citation: University of Cincinnati Neuroscience Institute (RRID:SCR_005345) Copy   

•   Source: SciCrunch Registry

http://brain.ubc.ca/

Research facility for research on neurological and psychiatric disorders on the learning brain and the aging brain. The Centre utilizes a multidisciplinary approach to explore the causes and potential treatments of disorders like Alzheimer's disease, mental health and addiction, stroke and neurotrauma. The Centre focuses on translating research into patient care and therapies.

Proper citation: Djavad Mowafaghian Centre for Brain Health (RRID:SCR_013149) Copy   

•   Source: SciCrunch Registry

https://neurobiobank.nih.gov/

National resource for investigators utilizing human post-mortem brain tissue and related biospecimens for their research to understand conditions of the nervous system. Federated network of brain and tissue repositories in the United States that collects, evaluates, stores, and makes available to researchers, brain and other tissues in a way that is consistent with the highest ethical and research standards. The NeuroBioBank ensures protection of the privacy and wishes of donors. Provides information to the public about the need for tissue donation and how to register as a donor.

Proper citation: NIH NeuroBioBank (RRID:SCR_003131) Copy   

•   Source: SciCrunch Registry

https://www.benaroyaresearch.org/our-research/biorepositories/biorepository-neurologic-disease

BRI investigators study the molecular and genetic mechanisms which underlie some of the most devastating chronic neurological disorders, and conduct clinical trials for new innovative therapies. Neurological studies that are currently studied include Amyotrophic lateral sclerosis (ALS) or Lou Gehrig's Disease, Multiple Sclerosis, and Parkinson's Disease.

Proper citation: Benaroya Research Institute: Neurological Diseases (RRID:SCR_001576) Copy   

•   Source: SciCrunch Registry

http://phenotype.mc.vanderbilt.edu/

Collaborative environment of building and validating electronic phenotype algorithms using electronic medical records (EMRs) and natural language processing (NLP) for use in genome-wide association studies (GWAS). On this site you can: View existing algorithms, Enter or create new algorithms, Collaborate with others to create or review algorithms, View implementation details for existing algorithms. The Electronic Medical Records and Genomics Network (eMERGE) has investigated whether data captured through routine clinical care using electronic medical records (EMRs) can identify disease phenotypes with sufficient positive and negative predictive values for use in genome-wide association studies (GWAS). Most EMRs captured key information (diagnoses, medications, laboratory tests) used to define phenotypes in a structured format; in addition, natural language processing has also been shown to improve case identification rates. PheKB is an outgrowth of that validation effort. Phenotype algorithms can be viewed by data modalities or methods used: CPT codes, ICD 10 codes, ICD 9 codes, Laboratories, Medications, Vital Signs, Natural Language Processing Algorithms can also be viewed by: * Implementation results (positive predictive value, sensitivity, publications) * Institution * Work Group

Proper citation: PheKB (RRID:SCR_005292) Copy   

•   Source: SciCrunch Registry

http://www.bri.ucla.edu/research/resources

Brain bank resources which include postmortem human frozen brain tissue and matched cerebrospinal fluid (CSF) and blood available for scientists to search for etiopathogeneses of human disease. The National Neurological Research Specimen Bank and the Multiple Sclerosis Human Neurospecimen Bank maintains a collection of quick frozen and formalin fixed postmortem human brain tissue and frozen cerebrospinal fluid from patients with neurological diseases, including Alzheimer's Disease, amyotrophic lateral sclerosis, depressive disorder/suicide, and epilepsy, among others. Diagnoses are documented by clinical medical records and gross/microscopic neuropathology. The Neuropathology Laboratory at the UCLA Medical Center maintains a bank of frozen, formalin and paraformaldehyde-fixed and paraffin-embedded postmortem human brain tissues and frozen cerebrospinal fluid (CSF) from patients who die with Alzheimer's disease and other dementing and degenerative illnesses, as well as control materials removed in a similar fashion from patients who are neurologically normal.

Proper citation: Brain Research Institute Biobank Resources (RRID:SCR_008756) Copy   

•   Source: SciCrunch Registry

http://www.ohsu.edu/xd/health/services/brain/

A clinical care and research center for neurological conditions such as Alzheimer's, dementia and seizure disorders. It provides a dynamic setting for training healthcare professionals and neuroscience researchers to develop and implement evidence-based treatment.

Proper citation: OHSU Brain Institute (RRID:SCR_008932) Copy   

•   Source: SciCrunch Registry

http://www.ukmstissuebank.imperial.ac.uk/news3d.html

Procures brain, spinal cord and other tissues bequeathed by donors and makes them available to scientists investigating the cause and treatment of multiple sclerosis. The Tissue Bank achieves this aim by addressing the following objectives: # Increasing the awareness of the importance of human tissue to research amongst the MS and scientific communities. # Being sensitive to the needs of the tissue donor and responsive to the requirements of scientists when collecting and processing donated tissue. # Making available high quality, well-documented samples of tissue to research scientists working to better understand MS. There are approximately 85 000 people with multiple sclerosis in the United Kingdom. The varied symptoms experienced by all these people result from damage taking place within their brain and spinal cord. Understanding the exact nature of this damage is essential if we are to better treat the condition. Vital information about how the brain and spinal cord are damaged in multiple sclerosis can be obtained by using a multitude of experimental approaches to study the affected tissue from people with MS and ''control'' tissue from people without the disease. The donation of tissue for research is therefore fundamental to furthering our understanding of the causes of multiple sclerosis and to developing more effective treatments for the disease. The UK Multiple Sclerosis Tissue Bank welcomes requests for tissue samples for use in research into the cause and treatment of multiple sclerosis. It has available post mortem, cryopreserved brain and spinal cord tissue both fixed and unfixed, and cerebrospinal fluid from patients with and without a history of multiple sclerosis. Freshly dissected tissue samples, or those preserved using unconventional techniques may also be made available by prior arrangement.

Proper citation: UK Multiple Sclerosis Tissue Bank (RRID:SCR_004609) Copy   

•   Source: SciCrunch Registry

http://www.msdiscovery.org/

Portal that aims to inspire connections, clinical advances and accelerate progress toward multiple sclerosis cures. MSDF updates its site with news and information about topics relevant to multiple sclerosis and hosts discussions about controversial subjects with the goal of spreading information and enabling collaboration between researchers. MSDF provides access to drug development pipelines, tissue repositories, the MS gene, animal models, and clinical trials.

Proper citation: Multiple Sclerosis Discovery Forum (RRID:SCR_000027) Copy   

•   Source: SciCrunch Registry

http://jjwanglab.org/gwasrap

GWASrap is a comprehensive web-based bioinformatics tool to systematically support variant representation, annotation and prioritization for data generated from genome-wide association studies (GWAS) and Next Generation Sequencing (NGS). Our web-based framework utilizes state-of-the-art web technologies to maximize user interaction and visualization of the results. For a given SNP dataset with its P-values, GWASrap will first provide a Circos-style plot to visualize any genetic variants at either the genome or chromosome level. The tool then combines different genomic features (SNP/CNV density, disease susceptibility loci, etc.) with comprehensive annotations that give the researcher an intuitive view of the functional significance of the different genomic regions. The detailed statistics of the underlying study are also displayed on the web page, including variant distribution in different functional categories, classic Manhattan plot and QQ plot. Users can perform interactive operations in the Manhattan panel, such as zooming in and out to search regions or markers of interest. The system can also display a comprehensive range of relevant information from variant genetic attributes to nearby genomic elements, such as enhancers or non-coding RNAs. Furthermore, researchers can obtain extensive functional predictions for various features including transcription factor-binding sites, miRNA and miRNA target sites, and their predicted changes caused by the genetic variants. Our system can re-prioritize genetic variants by combining the original statistical value and variant prioritization score based on a simple additive effect equation. Researchers can also re-evaluate the significance of a trait/disease-associated SNP (TAS) using the dynamic linkage disequilibrium (LD) panel or the tree-like network panel. The GWASrap supports input variants in different formats, not only common variants with a dbSNP rs ID but also rare variants from NGS data, which are represented by chromosome and locations. GWASrap provides a range of web services for data retrieving about the annotation information and effect prediction of each variant in dbSNP using the SOAP interface. The WSDL for each service is available in the API tab. Each service returns JSON string including all related information with key/value. GWASrap provides running results about some current published GWAS as well as a category view for each hot disease / trait. The dataset is brought from published database GWAS or curated from literature.

Proper citation: GWASrap (RRID:SCR_013144) Copy   

•   Source: SciCrunch Registry

http://www.mknt.hu/sites/default/files/NEPSYBANK_0.doc

The Hungarian Society of Clinical Neurgenetics established a nationwide collaboration for prospective collection of human biological materials and databases from patient with neurological and psychiatric diseases. The basic triangle of the NEPSYBANK is the sample, the information and the study management. The present participants of the NEPSYBANK are the Department of Neurology and Psychiatry of the four Medical Universities (in Budapest, Debrecen, Pecs, Szeged) and the National Institute of Psychiatry and Neurology in Budapest. The NEPSYBANK is a disease based biobank collecting both phenotypical and environmental data and biological materials such as DNA/RNA, whole blood, plasma, cerebral spinal fluid, muscle / nerve / skin biopsy, brain, and fibroblast. The target of the diseases is presently (Phase I): stroke syndromes, dementias, movement disorders, motoneuron diseases, epilepsy, multiple sclerosis, schizophrenia, alcohol addiction. In the near future (Phase II.) it is planned to enlarge the scale with headaches, disorders of the peripheral nerves, disorders of neuromuscular transmission, disorders of skeletal muscle, depression, anxiety. DNA/RNA is usually extracted from whole blood, but occasionally different tissues such as muscle, brain etc. can be used as well. The extracting procedures differ among the institutes, but in all cases the concentration and the quality of the DNA/RNA must be registered in the database. Participating institutional biobanks have committed themselves to follow common quality standards, which provide access to samples after prioritization on scientific grounds only. In every case the following data are registered. 1. General data: main bank categories, age, sex, ethnicity, body height, body weight, economic stats, education, type of place of living, marital status, birth complications, alcohol, drugs, smoking. 2. Sample properties (sample ID, type of sample, date of extraction, concentration, and level of purity). General patient data as blood pressure, heart rate, internal medical status, ECG, additional diseases. Disease specific question e.g. in schizophrenia the diagnosis after DSMIV and ICD 10, detailed diagnostic questions after both classification, detailed psychiatric and neurological status, laboratory findings, rating scales, data of neuroimaging, genetic tests, applied medication (with generic name, dose, duration), adverse drug effects and other treatments. The Biobank Information Management System (BIMS) is responsible for linkage of databases containing information on the individual sample donors. If you want to have samples from the NEPSYBANK an application must be submitted containing the following information: short research plan including aims and study design, ethic application with a positive decision, specific demands regarding the right of disposition, agreements with grant organizations which regulate immaterial property, information about financing (academic grants, support from industry). All participants have the right to withdraw their samples through a simple order.

Proper citation: Hungarian Neurological-Psychiatric Biobank (RRID:SCR_003715) Copy   

•   Source: SciCrunch Registry