Literature DB >> 28832450

HLA Population Genetics in Solid Organ Transplantation.

Evan P Kransdorf1, Marcelo J Pando, Loren Gragert, Bruce Kaplan.   

Abstract

HLAs are fundamental to the adaptive immune response and play critical roles in the cellular and humoral response in solid organ transplantation. The genes encoding HLA proteins are the most polymorphic within the human genome, with thousands of different allelic variants known within the population. Application of the principles of population genetics to the HLA genes has resulted in the development of a numeric metric, the calculated panel-reactive antibody (CPRA) that predicts the likelihood of a positive crossmatch as a function of a transplant candidate's unacceptable HLA antigens. The CPRA is an indispensible measure of access to transplantation for sensitized candidates and is used as the official measure of sensitization for allocation of points in the US Kidney Allocation System and Eurotransplant. Here, we review HLA population genetics and detail the mathematical basis of the CPRA. An understanding of these principles by transplant clinicians will lay the foundation for continued innovation in the care of sensitized patients.

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Year:  2017        PMID: 28832450     DOI: 10.1097/TP.0000000000001830

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  5 in total

1.  Eplet mismatch analysis and allograft outcome across racially diverse groups in a pediatric transplant cohort: a single-center analysis.

Authors:  Mary Carmelle Philogene; Anita Amin; Sheng Zhou; Olga Charnaya; Renato Vega; Niraj Desai; Alicia M Neu; Cozumel S Pruette
Journal:  Pediatr Nephrol       Date:  2019-10-10       Impact factor: 3.714

2.  A Data-Driven Social Network Intervention for Improving Organ Donation Awareness Among Minorities: Analysis and Optimization of a Cross-Sectional Study.

Authors:  Michael Douglas Murphy; Diego Pinheiro; Rahul Iyengar; Gene Lim; Ronaldo Menezes; Martin Cadeiras
Journal:  J Med Internet Res       Date:  2020-01-14       Impact factor: 5.428

3.  A Statistical Prediction Model for Survival After Kidney Transplantation from Deceased Donors.

Authors:  Jia-Shan Pan; Yi-Ding Chen; Han-Dong Ding; Tian-Chi Lan; Fei Zhang; Jin-Biao Zhong; Gui-Yi Liao
Journal:  Med Sci Monit       Date:  2022-01-01

4.  HLA Homozygosity and Likelihood of Sensitization in Kidney Transplant Candidates.

Authors:  Joshua A Rushakoff; Loren Gragert; Marcelo J Pando; Darren Stewart; Edmund Huang; Irene Kim; Stanley Jordan; Kelsi Lindblad; Xiaohai Zhang; Peter Lalli; Jignesh K Patel; Jon A Kobashigawa; Evan P Kransdorf
Journal:  Transplant Direct       Date:  2022-04-07

Review 5.  The Impact of Donor and Recipient Genetic Variation on Outcomes After Solid Organ Transplantation: A Scoping Review and Future Perspectives.

Authors:  Yanni Li; Lianne M Nieuwenhuis; Brendan J Keating; Eleonora A M Festen; Vincent E de Meijer
Journal:  Transplantation       Date:  2021-12-28       Impact factor: 5.385

  5 in total

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