Computing the probabilities of HLA-like matching

Amir Alalouf, Israel David, Joseph Pliskin

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We present several alternative computation schemes, accompanied with appropriate software, to compute the probabilities of the (2n+1) possible match levels between the alleles in n genetic sites of a given individual, and the alleles in the same n sites of an individual who is drawn randomly from a given population. The modeling generalizes the asymmetric HLA-criterion which defines the donor-recipient immunological compatibility in kidney or bone-marrow transplantation. We discuss our algorithms by order of their run-time complexity with respect to n. We show the advantage of using computational schemes over explicit expressions even for the HLA present-day count of n=3.

Original languageEnglish
Pages (from-to)33-45
Number of pages13
JournalAnnals of Operations Research
Volume221
Issue number1
DOIs
StatePublished - 1 Sep 2014

Bibliographical note

Publisher Copyright:
© 2012, Springer Science+Business Media, LLC.

Funding

This research was supported by the Israel National Institute for Health Policy Research.

FundersFunder number
Israel National Institute for Health Policy Research

    Keywords

    • FFT
    • Generating functions
    • HLA
    • Immunology
    • Polynomial multiplication
    • Tissue-match
    • Transplantation

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