Using HapLogic™ & recipient ancestry: The likelihood of identifying an 8/8 HLA-matched unrelated donor can be accurately predicted at the time of the preliminary search markedly improving search efficiency & speed to allograft: An 830 patient analysis Meeting Abstract


Authors: Davis, E.; Devlin, S. M.; Cooper, C.; Nhaissi, M.; Paulson, J.; Wells, D. S.; Scaradavou, A.; Giralt, S. A.; Papadopoulos, E. B.; Kernan, N. A.; Byam, C.; Barker, J. N.
Abstract Title: Using HapLogic™ & recipient ancestry: The likelihood of identifying an 8/8 HLA-matched unrelated donor can be accurately predicted at the time of the preliminary search markedly improving search efficiency & speed to allograft: An 830 patient analysis
Meeting Title: 2017 BTM Tandem Meetings
Journal Title: Biology of Blood and Marrow Transplantation
Volume: 23
Issue: 3 Suppl. 1
Meeting Dates: 2017 Feb 22-26
Meeting Location: Orlando, FL
ISSN: 1083-8791
Publisher: Elsevier Inc.  
Date Published: 2017-03-01
Start Page: S68
End Page: S69
Language: English
ACCESSION: WOS:000540635000064
DOI: 10.1016/j.bbmt.2017.01.023
PROVIDER: wos
Notes: Meeting Abstract: 67 -- Source: Wos
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MSK Authors
  1. Nancy Kernan
    512 Kernan
  2. Sergio Andres Giralt
    1050 Giralt
  3. Juliet N Barker
    335 Barker
  4. Eric Nelson Davis
    34 Davis
  5. Sean McCarthy Devlin
    601 Devlin
  6. Deborah Sessions Wells
    29 Wells