Computer applications in the search for unrelated stem cell donors

Müller, Carlheinz

doi:10.1016/s0966-3274(02)00070-9

Cited by 15 publications

(9 citation statements)

References 14 publications

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“…Within the registry, computer algorithms collect HLA assignments, compare patient and volunteer HLA types, and report sorted potential matches to transplant centers (33). On a daily basis at the NMDP, the HLA types of approximately 30 new patients are compared with the types of almost 5 million volunteers.…”

Section: Search and Match Algorithmmentioning

confidence: 99%

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Maximizing optimal hematopoietic stem cell donor selection from registries of unrelated adult volunteers

2003

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Today, more than 50 registries of HLA-typed potential adult hematopoietic stem cell donors have been established in 40 countries and include more than 7.5 million volunteers. HLA testing of new volunteers includes HLA-A, -B and often -DR typing at low to intermediate resolution. Searching patients are tested for these same loci, preferably at a higher level of resolution. Over 95,000 patient searches are received by registries annually resulting in approximately 4660 unrelated transplants. In 2001, nearly one-third of transplants involved a patient in one country receiving stem cells from a donor in another. The diversity of the HLA system complicates the search process, requiring sophisticated registry algorithms for matching, and expertise in allele and haplotype frequencies and associations to design search strategies. Within registries, HLA frequency data have been used to evaluate optimal registry size and composition.

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Section: Search and Match Algorithmmentioning

confidence: 99%

“…Within the registry, computer algorithms collect HLA assignments, compare patient and volunteer HLA types, and report sorted potential matches to transplant centers (33 (37). An initiative to collect primary DNA typing data (i.e.…”

Section: Search and Match Algorithmmentioning

confidence: 99%

Maximizing optimal hematopoietic stem cell donor selection from registries of unrelated adult volunteers

2003

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“…Without this cooperation, finding URDs would not be possible for the majority of Austrian patients. In addition, finding suitable donors for Austrian patients would also be impossible without 2 revolutionary international computer systems, BMDW and EMDIS, that identify possible matching donors within seconds and facilitate international cooperation [21,22].…”

Section: Provenience Of Donorsmentioning

confidence: 99%

The Austrian Bone Marrow Donor Registry: Providing Patients in Austria with Unrelated Donors for Transplant – a Worldwide Cooperation

Rosenmayr

Pointner-Prager

Winkler

et al. 2011

Transfus Med Hemother

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Background: The Austrian Bone Marrow Donor Registry is the central search coordinating unit in charge of national and international donor searches in Austria. Patients and Methods: Between 1988 and 2010, a worldwide search for an unrelated donor of blood stem cells (URD) was initiated for 2,166 Austrian patients with haematological disorders, 1,671 adults and 495 children, by the Austrian Bone Marrow Donor Registry. Results: An URD was identified for 78.3% of the patients between 2008 and 2010, for 76.7% of the patients between 2004 and 2007, for 71.3% between 1996 and 2003, but only for 53.4% of the patients in the initial period of 1988–1995. Thus, results of international donor searches improve over time. In contrast, search duration decreases steadily: Search times of successful searches decreased from about 8 months in the first period between 1988 and 1996 to 1.84 months in 2010. Overall, 1,558 of the 2,166 patients (71.9%) could be provided with a matching donor. However, not every patient provided with a URD was transplanted. Overall, only 1,141 of 2,166 patients (52.7%) proceeded to transplant. Conclusion: Figures have significantly improved for the latest period of donor searches between 2008 and 2010. In this period, a donor could be found for 78.3%, and 58.5% of the patients received a transplant.

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“…Hence, EMDIS is implemented as an asynchronous peer-to-peer network connecting distributed, heterogeneous databases. 7,8 Membership of EMDIS is free of charge. The community provides documentation, status information, software tools, support and a project management platform.…”

Section: Naming Conventions For Identifiers and Centersmentioning

confidence: 99%

Information technology and the role of WMDA in promoting standards for international exchange of hematopoietic stem cell donors and products

Maiers

Bakker

Bochtler

et al. 2010

Bone Marrow Transplant

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Nearly half of the unrelated hematopoietic SCTs facilitated worldwide involves an exchange of products between countries. The process is information intensive and requires coordination through regional hubs of complex data transactions of demographic, clinical and genetic information, laboratory samples and results. Each registry has developed its own unique systems for representing data and process leading to transplantation. Electronic data exchange for search information as well as for requesting and providing subsequent services has an ever-increasing role in national and international searches for unrelated volunteer donors of hematopoietic progenitor cells. To eliminate errors, ambiguities and incompatibilities in the transmission of HLA data between stem cell donor registries and cord blood banks, the Information Technology and Quality Assurance Working Groups of the WMDA have developed guidelines for the nomenclature of HLA typing assignments. 1 These guidelines are firmly based on the nomenclature developed by the World Health Organisation Nomenclature Committee for factors of the HLA System 2 and uniformly accepted by the HLA community and on the requirements for presenting and condensing HLA data within the format of the registries' information systems.The WMDA HLA guidelines consist of a set of welldefined rules describing how a valid phenotype and a valid typing result may be presented with regard to the structure and contents of individual data fields and cross-checks applied between given fields. For the information technology (IT) specialists, these rules can be regarded as a specification of a validation routine to be applied to all incoming HLA data. Such a routine might include review for valid letter codes and basic rules for assignments and cross-checks between serological and allelic assignments for HLA.The NMDP (http://bioinformatics.nmdp.org/HLA/ Allele_Codes/Allele_Code_Lists/index.html) allele code system was developed to provide a standard shorthand for reporting lists of possible alleles (for example, DRB1*01AD ¼ DRB1*0101 or DRB1*0104). Owing to the vast polymorphism of HLA and the need for compact representation of ambiguities, there have been over 65 000 of these alphabetical codes defined. With 50-100 of these codes created in a typical day, it is critical for global communication between registries to use an up-to-date shared reference for this sort of information.In the course of the standardization of the electronic exchange of HLA data, two reference web sites (http:// hla.alleles.org/wmda/index.html and http://hla.alleles.org/ nomenclature/nomenclature_2009.html) 3 have been designated to maintain and update the approved HLA nomenclature and all the ancillary information needed by the conventions of the guidelines. In addition, a compre-

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Computer applications in the search for unrelated stem cell donors

Cited by 15 publications

References 14 publications

Maximizing optimal hematopoietic stem cell donor selection from registries of unrelated adult volunteers

Maximizing optimal hematopoietic stem cell donor selection from registries of unrelated adult volunteers

The Austrian Bone Marrow Donor Registry: Providing Patients in Austria with Unrelated Donors for Transplant – a Worldwide Cooperation

Information technology and the role of WMDA in promoting standards for international exchange of hematopoietic stem cell donors and products

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