Literature DB >> 14676778

Hematopoietic stem cell donor registry strategies for assigning search determinants and matching relationships.

C K Hurley1, M Setterholm, M Lau, M S Pollack, H Noreen, A Howard, M Fernandez-Vina, D Kukuruga, C R Müller, M Venance, J A Wade, M Oudshoorn, C Raffoux, J Enczmann, P Wernet, M Maiers.   

Abstract

Registries and cord blood banks around the world collect and store the HLA types of volunteers in order to identify matched unrelated donors for patients requiring hematopoietic stem cell transplantation. This task is complicated by the many formats in which HLA types are provided by the testing laboratories (types obtained by serology vs by DNA-based methods; high vs intermediate vs low resolution) and by the need to identify which of these diverse types are most likely to match the HLA assignments of a searching patient as closely as possible. Conversion of the assignments to 'search determinants' may be included within the algorithm used to select and prioritize a list of potentially suitable donors, either as an aid to matching or as a tool to optimize the performance of comparisons within large data files. The strategies used by registries to create search determinants are described. A set of search determinants, utilized by the National Marrow Donor Program, is provided as an example and is intended to initiate further discussion aimed at understanding the process used by each registry with the possibility of developing a standard process among registries worldwide.

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Year:  2004        PMID: 14676778     DOI: 10.1038/sj.bmt.1704365

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


  7 in total

1.  HLA mismatching within or outside of cross-reactive groups (CREGs) is associated with similar outcomes after unrelated hematopoietic stem cell transplantation.

Authors:  Judith A Wade; Carolyn Katovich Hurley; Steven K Takemoto; John Thompson; Stella M Davies; Thomas C Fuller; Glenn Rodey; Dennis L Confer; Harriet Noreen; Michael Haagenson; Fangyu Kan; John Klein; Mary Eapen; Stephen Spellman; Craig Kollman
Journal:  Blood       Date:  2007-01-03       Impact factor: 22.113

2.  A community standard for immunogenomic data reporting and analysis: proposal for a STrengthening the REporting of Immunogenomic Studies statement.

Authors:  J A Hollenbach; S J Mack; P-A Gourraud; R M Single; M Maiers; D Middleton; G Thomson; S G E Marsh; M D Varney
Journal:  Tissue Antigens       Date:  2011-11

3.  In silico analysis of HLA associations with drug-induced liver injury: use of a HLA-genotyped DNA archive from healthy volunteers.

Authors:  Ana Alfirevic; Faviel Gonzalez-Galarza; Catherine Bell; Klara Martinsson; Vivien Platt; Giovanna Bretland; Jane Evely; Maike Lichtenfels; Karin Cederbrant; Neil French; Dean Naisbitt; B Kevin Park; Andrew R Jones; Munir Pirmohamed
Journal:  Genome Med       Date:  2012-06-25       Impact factor: 11.117

4.  Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance.

Authors:  Johan Nilsson; David Ansari; Mattias Ohlsson; Peter Höglund; Ann-Sofie Liedberg; J Gustav Smith; Pierre Nugues; Bodil Andersson
Journal:  J Am Heart Assoc       Date:  2019-07-24       Impact factor: 5.501

5.  Easy-HLA: a validated web application suite to reveal the full details of HLA typing.

Authors:  Estelle Geffard; Sophie Limou; Alexandre Walencik; Michelle Daya; Harold Watson; Dara Torgerson; Kathleen C Barnes; Anne Cesbron Gautier; Pierre-Antoine Gourraud; Nicolas Vince
Journal:  Bioinformatics       Date:  2020-04-01       Impact factor: 6.937

6.  Computer algorithms in the search for unrelated stem cell donors.

Authors:  David Steiner
Journal:  Bone Marrow Res       Date:  2012-11-01

7.  Measuring ambiguity in HLA typing methods.

Authors:  Vanja Paunić; Loren Gragert; Abeer Madbouly; John Freeman; Martin Maiers
Journal:  PLoS One       Date:  2012-08-29       Impact factor: 3.240

  7 in total

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