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1.
Hum Mutat ; 39(11): 1668-1676, 2018 11.
Article de Anglais | MEDLINE | ID: mdl-30311371

RÉSUMÉ

GenomeConnect, the NIH-funded Clinical Genome Resource (ClinGen) patient registry, engages patients in data sharing to support the goal of creating a genomic knowledge base to inform clinical care and research. Participant self-reported health information and genomic variants from genetic testing reports are curated and shared with public databases, such as ClinVar. There are four primary benefits of GenomeConnect: (1) sharing novel genomic data-47.9% of variants were new to ClinVar, highlighting patients as a genomic data source; (2) contributing additional phenotypic information-of the 52.1% of variants already in ClinVar, GenomeConnect provided enhanced case-level data; (3) providing a way for patients to receive variant classification updates if the reporting laboratory submits to ClinVar-97.3% of responding participants opted to receive such information and 13 updates have been identified; and (4) supporting connections with others, including other participants, clinicians, and researchers to enable the exchange of information and support-60.4% of participants have opted to partake in participant matching. Moving forward, ClinGen plans to increase patient-centric data sharing by partnering with other existing patient groups. By engaging patients, more information is contributed to the public knowledge base, benefiting both patients and the genomics community.


Sujet(s)
Génome humain/génétique , Génomique/méthodes , Diffusion de l'information/méthodes , Bases de données génétiques , Dépistage génétique/méthodes , Variation génétique , Humains
2.
Eur J Hum Genet ; 26(5): 631-643, 2018 05.
Article de Anglais | MEDLINE | ID: mdl-29396563

RÉSUMÉ

In rare disease (RD) research, there is a huge need to systematically collect biomaterials, phenotypic, and genomic data in a standardized way and to make them findable, accessible, interoperable and reusable (FAIR). RD-Connect is a 6 years global infrastructure project initiated in November 2012 that links genomic data with patient registries, biobanks, and clinical bioinformatics tools to create a central research resource for RDs. Here, we present RD-Connect Registry & Biobank Finder, a tool that helps RD researchers to find RD biobanks and registries and provide information on the availability and accessibility of content in each database. The finder concentrates information that is currently sparse on different repositories (inventories, websites, scientific journals, technical reports, etc.), including aggregated data and metadata from participating databases. Aggregated data provided by the finder, if appropriately checked, can be used by researchers who are trying to estimate the prevalence of a RD, to organize a clinical trial on a RD, or to estimate the volume of patients seen by different clinical centers. The finder is also a portal to other RD-Connect tools, providing a link to the RD-Connect Sample Catalogue, a large inventory of RD biological samples available in participating biobanks for RD research. There are several kinds of users and potential uses for the RD-Connect Registry & Biobank Finder, including researchers collaborating with academia and the industry, dealing with the questions of basic, translational, and/or clinical research. As of November 2017, the finder is populated with aggregated data for 222 registries and 21 biobanks.


Sujet(s)
Biologie informatique , Génomique , Métadonnées , Maladies rares/génétique , Biobanques , Recherche biomédicale , Bases de données factuelles , Humains , Diffusion de l'information , Patients , Maladies rares/sang , Maladies rares/épidémiologie , Enregistrements
3.
Hum Mutat ; 36(10): 974-8, 2015 Oct.
Article de Anglais | MEDLINE | ID: mdl-26178529

RÉSUMÉ

As the utility of genetic and genomic testing in healthcare grows, there is need for a high-quality genomic knowledge base to improve the clinical interpretation of genomic variants. Active patient engagement can enhance communication between clinicians, patients, and researchers, contributing to knowledge building. It also encourages data sharing by patients and increases the data available for clinicians to incorporate into individualized patient care, clinical laboratories to utilize in test interpretation, and investigators to use for research. GenomeConnect is a patient portal supported by the Clinical Genome Resource (ClinGen), providing an opportunity for patients to add to the knowledge base by securely sharing their health history and genetic test results. Data can be matched with queries from clinicians, laboratory personnel, and researchers to better interpret the results of genetic testing and build a foundation to support genomic medicine. Participation is online, allowing patients to contribute regardless of location. GenomeConnect supports longitudinal, detailed clinical phenotyping and robust "matching" among research and clinical communities. Phenotype data are gathered using online health questionnaires; genotype data are obtained from genetic test reports uploaded by participants and curated by staff. GenomeConnect empowers patients to actively participate in the improvement of genomic test interpretation and clinical utility.


Sujet(s)
Bases de données factuelles , Maladie/génétique , Diffusion de l'information/méthodes , Prédisposition génétique à une maladie , Génome humain , Humains , Participation des patients , Phénotype , Médecine de précision , Interface utilisateur
4.
J Invest Dermatol ; 133(5): 1362, 2013 May.
Article de Anglais | MEDLINE | ID: mdl-23325015
6.
J Mol Diagn ; 13(2): 167-74, 2011 Mar.
Article de Anglais | MEDLINE | ID: mdl-21354051

RÉSUMÉ

Duchenne and Becker muscular dystrophies (DMD/BMD) are allelic X-linked recessive disorders that affect approximately 1 in 3500 and 1 in 20,000 male individuals, respectively. Approximately 65% of patients with DMD have deletions, 7% to 10% have duplications, and 25% to 30% have point mutations in one or more of the 79 exons of the dystrophin gene. Most clinical genetics laboratories test for deletions, and some use technologies that can detect smaller mutations and duplications. Reference and quality control materials for DMD/BMD diagnostic and carrier genetic testing are not commercially available. To help address this need, the Centers for Disease Control and Prevention-based Genetic Testing Reference Material Coordination Program, in collaboration with members of the genetic testing and the DMD/BMD patient communities and the Coriell Cell Repositories, have characterized new and existing cell lines to create a comprehensive DMD/BMD reference material panel. Samples from 31 Coriell DMD cell lines from male probands and female carriers were analyzed using the Affymetrix SNP Array 6.0 and Multiplex Ligation-Dependent Probe Amplification (MRC-Holland BV, Amsterdam, the Netherlands), a multiplex PCR assay, and DNA sequence analysis. Identified were 16 cell lines with deletions, 9 with duplications, and 4 with point mutations distributed throughout the dystrophin gene. There were no discordant results within assay limitations. These samples are publicly available from Coriell Institute for Medical Research (Camden, NJ) and can be used for quality assurance, proficiency testing, test development, and research, and should help improve the accuracy of DMD testing.


Sujet(s)
Dépistage génétique/normes , Myopathie de Duchenne/génétique , Mutation , Contrôle de qualité , État de porteur sain , Lignée cellulaire , Femelle , Humains , Mâle , Analyse sur microréseau/méthodes , Analyse sur microréseau/normes , Myopathie de Duchenne/diagnostic , Réaction de polymérisation en chaîne/méthodes , Polymorphisme de nucléotide simple , Normes de référence , Analyse de séquence d'ADN/méthodes
7.
Contemp Clin Trials ; 31(5): 394-404, 2010 Sep.
Article de Anglais | MEDLINE | ID: mdl-20609392

RÉSUMÉ

A movement to create a global patient registry for as many as 7,000 rare diseases was launched at a workshop, "Advancing Rare Disease Research: The Intersection of Patient Registries, Biospecimen Repositories, and Clinical Data." http://rarediseases.info.nih.gov/PATIENT_REGISTRIES_WORKSHOP/. The workshop was sponsored by the Office of Rare Diseases Research (ORDR). The focus was the building of an infrastructure for an internet-based global registry linking to biorepositories. Such a registry would serve the patients, investigators, and drug companies. To aid researchers the participants suggested the creation of a centralized database of biorepositories for rare biospecimens (RD-HUB)http://biospecimens.ordr.info.nih.gov/ that could be linked to the registry. Over two days of presentations and breakout sessions, several hundred attendees discussed government rules and regulations concerning privacy and patients' rights and the nature and scope of data to be entered into a central registry as well as concerns about how to validate patient and clinician-entered data to ensure data accuracy. Mechanisms for aggregating data from existing registries were also discussed. The attendees identified registry best practices, model coding systems, international systems for recruiting patients into clinical trials and novel ways of using the internet directly to invite participation in research. They also speculated about who would bear ultimate responsibility for the informatics in the registry and who would have access to the information. Hurdles associated with biospecimen collection and how to overcome them were detailed. The development of the recommendations was, in itself, an indication of the commitment of the rare disease community as never before.


Sujet(s)
Bases de données factuelles/législation et jurisprudence , Soins aux patients , Maladies rares/épidémiologie , Enregistrements , Manipulation d'échantillons/méthodes , Collecte de données , Bases de données factuelles/statistiques et données numériques , Prise en charge de la maladie , Industrie pharmaceutique , Éducation , Déontologie médicale , Humains , Systèmes informatisés de dossiers médicaux , National Institutes of Health (USA) , Défense du patient , Participation des patients , Soutien social , Manipulation d'échantillons/statistiques et données numériques , États-Unis
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