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Epitope-based Re-matching of Donor-Recipient Pairs for Kidney Graft Allocation

Mastrocinque, Morgan M
http://orcid.org/0000-0001-6533-101X
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu16171080745974

Abstract Details

2021, Master of Science (MS), Bowling Green State University, Computer Science.
When considering the matching of donor and recipient pairs for kidney transplantation, there are many aspects that must be compared and evaluated in order to ensure the best outcomes for recipients. Historically, a focus has been placed on evaluating the number of mismatches in various loci of Human Leukocyte Antigens (HLAs) in addition to other clinical factors including blood type, history of disease, etc. While HLA is still a standard technique for determining the histocompatibility of donor-recipient pairs, recent research has shown that other methods such as immunogenicity scores and eplet load may provide a more nuanced approach to donor-recipient matching, resulting in the ability to increase both quantity and quality of kidney transplants that occur. Based on evidence that eplet-based matching may provide improved outcomes for kidney transplant recipients, this thesis develops computational tools, namely a small Python-based library, to aid in the evaluation of this matching methodology and explores data in order to demonstrate computationally the potential impacts of eplet load-based matching when considering race. A secondary evaluation is also made to see how introducing an additional HLA (HLA-DQ) potentially affects re-matching success. Results demonstrate that matching on eplet load yielded an average 8x increase in matches than when using HLA mismatches.
Robert Green, Ph.D (Advisor)
Dulat Bekbolsynov, Ph.D (Committee Member)
Michael Decker, Ph.D (Committee Member)
77 p.
Computer Science
Eplet Load; Immunogenicity; Kidney Allocation; Simulation

Recommended Citations

Citations

  • Mastrocinque, M. M. (2021). Epitope-based Re-matching of Donor-Recipient Pairs for Kidney Graft Allocation [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu16171080745974

    APA Style (7th edition)

  • Mastrocinque, Morgan. Epitope-based Re-matching of Donor-Recipient Pairs for Kidney Graft Allocation. 2021. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu16171080745974.

    MLA Style (8th edition)

  • Mastrocinque, Morgan. "Epitope-based Re-matching of Donor-Recipient Pairs for Kidney Graft Allocation." Master's thesis, Bowling Green State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu16171080745974

    Chicago Manual of Style (17th edition)

bgsu16171080745974
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© 2021, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.