Literature DB >> 10958364

Going back to the roots: effective utilisation of HLA typing information for bone marrow registries requires full knowledge of the DNA sequences of the oligonucleotide reagents used in the testing.

W Helmberg1, J Hegland, C K Hurley, M Maiers, S G Marsh, C Müller, E H Rozemuller.   

Abstract

Information obtained by DNA-based HLA typing assays is more detailed and of higher quality than that obtained by conventional serological techniques. Nevertheless, it is common for data acquired in this way to be presented in the more familiar serological format. In many cases this representation can lead to significant loss of information, which may only become apparent at a later time, with the discovery of novel allele sequences. DNA-based typing methods, such as sequence-specific oligonucleotide probing (SSOP) or sequence-specific priming (SSP) generate fragmentary sequence data which is information rich. An alternative to assigning allele names to these fragments is to simply store the sequence data itself without interpretation. Bone marrow donor repositories can then be searched directly with sequence information, which though complex is more complete, rather than searching by derivative allele names.

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Year:  2000        PMID: 10958364     DOI: 10.1034/j.1399-0039.2000.560115.x

Source DB:  PubMed          Journal:  Tissue Antigens        ISSN: 0001-2815


  4 in total

1.  Histoimmunogenetics Markup Language 1.0: Reporting next generation sequencing-based HLA and KIR genotyping.

Authors:  Robert P Milius; Michael Heuer; Daniel Valiga; Kathryn J Doroschak; Caleb J Kennedy; Yung-Tsi Bolon; Joel Schneider; Jane Pollack; Hwa Ran Kim; Nezih Cereb; Jill A Hollenbach; Steven J Mack; Martin Maiers
Journal:  Hum Immunol       Date:  2015-08-28       Impact factor: 2.850

2.  A one-step DNA sequencing strategy to HLA type hematopoietic stem cell donors at recruitment - rethinking typing strategies.

Authors:  B Tu; N Cha; R Yang; J Ng; C K Hurley
Journal:  Tissue Antigens       Date:  2013-03

3.  HLA genotyping in the international Type 1 Diabetes Genetics Consortium.

Authors:  Josyf C Mychaleckyj; Janelle A Noble; Priscilla V Moonsamy; Joyce A Carlson; Michael D Varney; Jeff Post; Wolfgang Helmberg; June J Pierce; Persia Bonella; Anna Lisa Fear; Eva Lavant; Anthony Louey; Sean Boyle; Julie A Lane; Paul Sali; Samuel Kim; Rebecca Rappner; Dustin T Williams; Letitia H Perdue; David M Reboussin; Brian D Tait; Beena Akolkar; Joan E Hilner; Michael W Steffes; Henry A Erlich
Journal:  Clin Trials       Date:  2010-07-01       Impact factor: 2.486

4.  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

  4 in total

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