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Biol Blood Marrow Transplant. 2016 Nov;22(11):2038-2046. doi: 10.1016/j.bbmt.2016.07.022. Epub 2016 Aug 2.

HapLogic: A Predictive Human Leukocyte Antigen-Matching Algorithm to Enhance Rapid Identification of the Optimal Unrelated Hematopoietic Stem Cell Sources for Transplantation.

Author information

1
National Marrow Donor Program, Minneapolis, Minnesota. Electronic address: jdehn@nmdp.org.
2
National Marrow Donor Program, Minneapolis, Minnesota.
3
National Marrow Donor Program, Minneapolis, Minnesota; Department of Pathology and Laboratory Medicine, Tulane Cancer Center, Tulane University School of Medicine, New Orleans, Louisiana.

Abstract

The search for a suitable human leukocyte antigen (HLA)-matched unrelated adult stem cell donor (URD) or umbilical cord blood unit (UCB) is a complex process. The National Marrow Donor Program (NMDP) developed a search algorithm known as HapLogic, which is currently provided within the NMDP Traxis application. The HapLogic algorithm has been in use since 2006 and has advanced URD/UCB HLA-matching technology. The algorithm has been shown to have high predictive accuracy, which can streamline URD/UCB selection and drive efficiencies in the search process to the benefit of the stem cell transplantation community. Here, we describe the fundamental components of the NMDP matching algorithm, output, validation, and future directions.

KEYWORDS:

Cord blood unit selection; Donor selection; HLA matching; Predictive algorithm

PMID:
27496216
DOI:
10.1016/j.bbmt.2016.07.022
[Indexed for MEDLINE]
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