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6 results on '"Dyke, Stephanie OM"'

1. GA4GH: International policies and standards for data sharing across genomic research and healthcare

Author

Rehm, Heidi L, Page, Angela JH, Smith, Lindsay, Adams, Jeremy B, Alterovitz, Gil, Babb, Lawrence J, Barkley, Maxmillian P, Baudis, Michael, Beauvais, Michael JS, Beck, Tim, Beckmann, Jacques S, Beltran, Sergi, Bernick, David, Bernier, Alexander, Bonfield, James K, Boughtwood, Tiffany F, Bourque, Guillaume, Bowers, Sarion R, Brookes, Anthony J, Brudno, Michael, Brush, Matthew H, Bujold, David, Burdett, Tony, Buske, Orion J, Cabili, Moran N, Cameron, Daniel L, Carroll, Robert J, Casas-Silva, Esmeralda, Chakravarty, Debyani, Chaudhari, Bimal P, Chen, Shu Hui, Cherry, J Michael, Chung, Justina, Cline, Melissa, Clissold, Hayley L, Cook-Deegan, Robert M, Courtot, Mélanie, Cunningham, Fiona, Cupak, Miro, Davies, Robert M, Denisko, Danielle, Doerr, Megan J, Dolman, Lena I, Dove, Edward S, Dursi, L Jonathan, Dyke, Stephanie OM, Eddy, James A, Eilbeck, Karen, Ellrott, Kyle P, Fairley, Susan, Fakhro, Khalid A, Firth, Helen V, Fitzsimons, Michael S, Fiume, Marc, Flicek, Paul, Fore, Ian M, Freeberg, Mallory A, Freimuth, Robert R, Fromont, Lauren A, Fuerth, Jonathan, Gaff, Clara L, Gan, Weiniu, Ghanaim, Elena M, Glazer, David, Green, Robert C, Griffith, Malachi, Griffith, Obi L, Grossman, Robert L, Groza, Tudor, Auvil, Jaime M Guidry, Guigó, Roderic, Gupta, Dipayan, Haendel, Melissa A, Hamosh, Ada, Hansen, David P, Hart, Reece K, Hartley, Dean Mitchell, Haussler, David, Hendricks-Sturrup, Rachele M, Ho, Calvin WL, Hobb, Ashley E, Hoffman, Michael M, Hofmann, Oliver M, Holub, Petr, Hsu, Jacob Shujui, Hubaux, Jean-Pierre, Hunt, Sarah E, Husami, Ammar, Jacobsen, Julius O, Jamuar, Saumya S, Janes, Elizabeth L, Jeanson, Francis, Jené, Aina, Johns, Amber L, Joly, Yann, Jones, Steven JM, Kanitz, Alexander, Kato, Kazuto, Keane, Thomas M, and Kekesi-Lafrance, Kristina

Subjects
Biological Sciences, Genetics, Biotechnology, Human Genome, 8.3 Policy, ethics, and research governance, Generic health relevance, Good Health and Well Being
Abstract

The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical and genomic data through both harmonized data aggregation and federated approaches. The decreasing cost of genomic sequencing (along with other genome-wide molecular assays) and increasing evidence of its clinical utility will soon drive the generation of sequence data from tens of millions of humans, with increasing levels of diversity. In this perspective, we present the GA4GH strategies for addressing the major challenges of this data revolution. We describe the GA4GH organization, which is fueled by the development efforts of eight Work Streams and informed by the needs of 24 Driver Projects and other key stakeholders. We present the GA4GH suite of secure, interoperable technical standards and policy frameworks and review the current status of standards, their relevance to key domains of research and clinical care, and future plans of GA4GH. Broad international participation in building, adopting, and deploying GA4GH standards and frameworks will catalyze an unprecedented effort in data sharing that will be critical to advancing genomic medicine and ensuring that all populations can access its benefits.

Published
2021

2. BRCA Challenge: BRCA Exchange as a global resource for variants in BRCA1 and BRCA2.

Author

Cline, Melissa S, Liao, Rachel G, Parsons, Michael T, Paten, Benedict, Alquaddoomi, Faisal, Antoniou, Antonis, Baxter, Samantha, Brody, Larry, Cook-Deegan, Robert, Coffin, Amy, Couch, Fergus J, Craft, Brian, Currie, Robert, Dlott, Chloe C, Dolman, Lena, den Dunnen, Johan T, Dyke, Stephanie OM, Domchek, Susan M, Easton, Douglas, Fischmann, Zachary, Foulkes, William D, Garber, Judy, Goldgar, David, Goldman, Mary J, Goodhand, Peter, Harrison, Steven, Haussler, David, Kato, Kazuto, Knoppers, Bartha, Markello, Charles, Nussbaum, Robert, Offit, Kenneth, Plon, Sharon E, Rashbass, Jem, Rehm, Heidi L, Robson, Mark, Rubinstein, Wendy S, Stoppa-Lyonnet, Dominique, Tavtigian, Sean, Thorogood, Adrian, Zhang, Can, Zimmermann, Marc, BRCA Challenge Authors, Burn, John, Chanock, Stephen, Rätsch, Gunnar, and Spurdle, Amanda B

Subjects
BRCA Challenge Authors, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, Risk Factors, Information Dissemination, Gene Frequency, Phenotype, Penetrance, Mutation, Alleles, Genes, BRCA1, Genes, BRCA2, Databases, Genetic, Female, Male, Genetic Variation, Breast Cancer, Cancer, Genetics, Human Genome, 2.6 Resources and infrastructure (aetiology), Developmental Biology
Abstract

The BRCA Challenge is a long-term data-sharing project initiated within the Global Alliance for Genomics and Health (GA4GH) to aggregate BRCA1 and BRCA2 data to support highly collaborative research activities. Its goal is to generate an informed and current understanding of the impact of genetic variation on cancer risk across the iconic cancer predisposition genes, BRCA1 and BRCA2. Initially, reported variants in BRCA1 and BRCA2 available from public databases were integrated into a single, newly created site, www.brcaexchange.org. The purpose of the BRCA Exchange is to provide the community with a reliable and easily accessible record of variants interpreted for a high-penetrance phenotype. More than 20,000 variants have been aggregated, three times the number found in the next-largest public database at the project's outset, of which approximately 7,250 have expert classifications. The data set is based on shared information from existing clinical databases-Breast Cancer Information Core (BIC), ClinVar, and the Leiden Open Variation Database (LOVD)-as well as population databases, all linked to a single point of access. The BRCA Challenge has brought together the existing international Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium expert panel, along with expert clinicians, diagnosticians, researchers, and database providers, all with a common goal of advancing our understanding of BRCA1 and BRCA2 variation. Ongoing work includes direct contact with national centers with access to BRCA1 and BRCA2 diagnostic data to encourage data sharing, development of methods suitable for extraction of genetic variation at the level of individual laboratory reports, and engagement with participant communities to enable a more comprehensive understanding of the clinical significance of genetic variation in BRCA1 and BRCA2.

Published
2018

3. Registered access: authorizing data access

Author

Dyke, Stephanie OM, Linden, Mikael, Lappalainen, Ilkka, De Argila, Jordi Rambla, Carey, Knox, Lloyd, David, Spalding, J Dylan, Cabili, Moran N, Kerry, Giselle, Foreman, Julia, Cutts, Tim, Shabani, Mahsa, Rodriguez, Laura L, Haeussler, Maximilian, Walsh, Brian, Jiang, Xiaoqian, Wang, Shuang, Perrett, Daniel, Boughtwood, Tiffany, Matern, Andreas, Brookes, Anthony J, Cupak, Miro, Fiume, Marc, Pandya, Ravi, Tulchinsky, Ilia, Scollen, Serena, Törnroos, Juha, Das, Samir, Evans, Alan C, Malin, Bradley A, Beck, Stephan, Brenner, Steven E, Nyrönen, Tommi, Blomberg, Niklas, Firth, Helen V, Hurles, Matthew, Philippakis, Anthony A, Rätsch, Gunnar, Brudno, Michael, Boycott, Kym M, Rehm, Heidi L, Baudis, Michael, Sherry, Stephen T, Kato, Kazuto, Knoppers, Bartha M, Baker, Dixie, and Flicek, Paul

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Genetics, 8.3 Policy, ethics, and research governance, Health and social care services research, Generic health relevance, Good Health and Well Being, Access to Information, Genetics, Medical, Genomics, Humans, Information Dissemination, Licensure, Practice Guidelines as Topic, Genetics & Heredity, Clinical sciences
Abstract

The Global Alliance for Genomics and Health (GA4GH) proposes a data access policy model-"registered access"-to increase and improve access to data requiring an agreement to basic terms and conditions, such as the use of DNA sequence and health data in research. A registered access policy would enable a range of categories of users to gain access, starting with researchers and clinical care professionals. It would also facilitate general use and reuse of data but within the bounds of consent restrictions and other ethical obligations. In piloting registered access with the Scientific Demonstration data sharing projects of GA4GH, we provide additional ethics, policy and technical guidance to facilitate the implementation of this access model in an international setting.

Published
2018

4. The Matchmaker Exchange: A Platform for Rare Disease Gene Discovery

Author

Philippakis, Anthony A, Azzariti, Danielle R, Beltran, Sergi, Brookes, Anthony J, Brownstein, Catherine A, Brudno, Michael, Brunner, Han G, Buske, Orion J, Carey, Knox, Doll, Cassie, Dumitriu, Sergiu, Dyke, Stephanie OM, den Dunnen, Johan T, Firth, Helen V, Gibbs, Richard A, Girdea, Marta, Gonzalez, Michael, Haendel, Melissa A, Hamosh, Ada, Holm, Ingrid A, Huang, Lijia, Hurles, Matthew E, Hutton, Ben, Krier, Joel B, Misyura, Andriy, Mungall, Christopher J, Paschall, Justin, Paten, Benedict, Robinson, Peter N, Schiettecatte, François, Sobreira, Nara L, Swaminathan, Ganesh J, Taschner, Peter E, Terry, Sharon F, Washington, Nicole L, Züchner, Stephan, Boycott, Kym M, and Rehm, Heidi L

Subjects
Biological Sciences, Genetics, Rare Diseases, Database Management Systems, Databases, Genetic, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Information Dissemination, Software, matchmaking, rare disease, genomic API, gene discovery, Matchmaker Exchange, GA4GH, IRDiRC, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract

There are few better examples of the need for data sharing than in the rare disease community, where patients, physicians, and researchers must search for "the needle in a haystack" to uncover rare, novel causes of disease within the genome. Impeding the pace of discovery has been the existence of many small siloed datasets within individual research or clinical laboratory databases and/or disease-specific organizations, hoping for serendipitous occasions when two distant investigators happen to learn they have a rare phenotype in common and can "match" these cases to build evidence for causality. However, serendipity has never proven to be a reliable or scalable approach in science. As such, the Matchmaker Exchange (MME) was launched to provide a robust and systematic approach to rare disease gene discovery through the creation of a federated network connecting databases of genotypes and rare phenotypes using a common application programming interface (API). The core building blocks of the MME have been defined and assembled. Three MME services have now been connected through the API and are available for community use. Additional databases that support internal matching are anticipated to join the MME network as it continues to grow.

Published
2015

5. International network of cancer genome projects

Author

Hudson (Chairperson), Thomas J, Anderson, Warwick, Aretz, Axel, Barker, Anna D, Bell, Cindy, Bernabé, Rosa R, Bhan, MK, Calvo, Fabien, Eerola, Iiro, Gerhard, Daniela S, Guttmacher, Alan, Guyer, Mark, Hemsley, Fiona M, Jennings, Jennifer L, Kerr, David, Klatt, Peter, Kolar, Patrik, Kusuda, Jun, Lane, David P, Laplace, Frank, Lu, Youyong, Nettekoven, Gerd, Ozenberger, Brad, Peterson, Jane, Rao, TS, Remacle, Jacques, Schafer, Alan J, Shibata, Tatsuhiro, Stratton, Michael R, Vockley, Joseph G, Watanabe, Koichi, Yang, Huanming, Yuen, Matthew MF, Knoppers (Leader), Bartha M, Bobrow, Martin, Cambon-Thomsen, Anne, Dressler, Lynn G, Dyke, Stephanie OM, Joly, Yann, Kato, Kazuto, Kennedy, Karen L, Nicolás, Pilar, Parker, Michael J, Rial-Sebbag, Emmanuelle, Romeo-Casabona, Carlos M, Shaw, Kenna M, Wallace, Susan, Wiesner, Georgia L, Zeps, Nikolajs, Lichter (Leader), Peter, Biankin, Andrew V, Chabannon, Christian, Chin, Lynda, Clément, Bruno, de Alava, Enrique, Degos, Françoise, Ferguson, Martin L, Geary, Peter, Hayes, D Neil, Hudson, Thomas J, Johns, Amber L, Kasprzyk, Arek, Nakagawa, Hidewaki, Penny, Robert, Piris, Miguel A, Sarin, Rajiv, Scarpa, Aldo, van de Vijver, Marc, Futreal (Leader), P Andrew, Aburatani, Hiroyuki, Bayés, Mónica, Bowtell, David DL, Campbell, Peter J, Estivill, Xavier, Grimmond, Sean M, Gut, Ivo, Hirst, Martin, López-Otín, Carlos, Majumder, Partha, Marra, Marco, McPherson, John D, Ning, Zemin, Puente, Xose S, Ruan, Yijun, Stunnenberg, Hendrik G, Swerdlow, Harold, Velculescu, Victor E, Wilson, Richard K, Xue, Hong H, Yang, Liu, Spellman (Leader), Paul T, Bader, Gary D, Boutros, Paul C, and Flicek, Paul

Subjects
Cancer, Genetics, Human Genome, DNA Methylation, DNA Mutational Analysis, Databases, Genetic, Genes, Neoplasm, Genetics, Medical, Genome, Human, Genomics, Humans, Intellectual Property, International Cooperation, Mutation, Neoplasms, International Cancer Genome Consortium, General Science & Technology
Abstract

The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

Published
2010

6. International network of cancer genome projects.

Author

International Cancer Genome Consortium, Hudson, Thomas J, Anderson, Warwick, Artez, Axel, Barker, Anna D, Bell, Cindy, Bernabé, Rosa R, Bhan, MK, Calvo, Fabien, Eerola, Iiro, Gerhard, Daniela S, Guttmacher, Alan, Guyer, Mark, Hemsley, Fiona M, Jennings, Jennifer L, Kerr, David, Klatt, Peter, Kolar, Patrik, Kusada, Jun, Lane, David P, Laplace, Frank, Youyong, Lu, Nettekoven, Gerd, Ozenberger, Brad, Peterson, Jane, Rao, TS, Remacle, Jacques, Schafer, Alan J, Shibata, Tatsuhiro, Stratton, Michael R, Vockley, Joseph G, Watanabe, Koichi, Yang, Huanming, Yuen, Matthew MF, Knoppers, Bartha M, Bobrow, Martin, Cambon-Thomsen, Anne, Dressler, Lynn G, Dyke, Stephanie OM, Joly, Yann, Kato, Kazuto, Kennedy, Karen L, Nicolás, Pilar, Parker, Michael J, Rial-Sebbag, Emmanuelle, Romeo-Casabona, Carlos M, Shaw, Kenna M, Wallace, Susan, Wiesner, Georgia L, Zeps, Nikolajs, Lichter, Peter, Biankin, Andrew V, Chabannon, Christian, Chin, Lynda, Clément, Bruno, de Alava, Enrique, Degos, Françoise, Ferguson, Martin L, Geary, Peter, Hayes, D Neil, Johns, Amber L, Kasprzyk, Arek, Nakagawa, Hidewaki, Penny, Robert, Piris, Miguel A, Sarin, Rajiv, Scarpa, Aldo, van de Vijver, Marc, Futreal, P Andrew, Aburatani, Hiroyuki, Bayés, Mónica, Botwell, David DL, Campbell, Peter J, Estivill, Xavier, Grimmond, Sean M, Gut, Ivo, Hirst, Martin, López-Otín, Carlos, Majumder, Partha, Marra, Marco, McPherson, John D, Ning, Zemin, Puente, Xose S, Ruan, Yijun, Stunnenberg, Hendrik G, Swerdlow, Harold, Velculescu, Victor E, Wilson, Richard K, Xue, Hong H, Yang, Liu, Spellman, Paul T, Bader, Gary D, and Boutros, Paul C

Subjects
International Cancer Genome Consortium, Humans, Neoplasms, DNA Mutational Analysis, Genetics, Medical, Genomics, DNA Methylation, Mutation, Genome, Human, International Cooperation, Intellectual Property, Databases, Genetic, Genes, Neoplasm, Genetics, Medical, Genome, Human, Databases, Genetic, Genes, Neoplasm, General Science & Technology
Abstract

The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

Published
2010

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