Literature DB >> 27163154

Charting improvements in US registry HLA typing ambiguity using a typing resolution score.

Vanja Paunić1, Loren Gragert2, Joel Schneider3, Carlheinz Müller4, Martin Maiers5.   

Abstract

Unrelated stem cell registries have been collecting HLA typing of volunteer bone marrow donors for over 25years. Donor selection for hematopoietic stem cell transplantation is based primarily on matching the alleles of donors and patients at five polymorphic HLA loci. As HLA typing technologies have continually advanced since the beginnings of stem cell transplantation, registries have accrued typings of varied HLA typing ambiguity. We present a new typing resolution score (TRS), based on the likelihood of self-match, that allows the systematic comparison of HLA typings across different methods, data sets and populations. We apply the TRS to chart improvement in HLA typing within the Be The Match Registry of the United States from the initiation of DNA-based HLA typing to the current state of high-resolution typing using next-generation sequencing technologies. In addition, we present a publicly available online tool for evaluation of any given HLA typing. This TRS objectively evaluates HLA typing methods and can help define standards for acceptable recruitment HLA typing.
Copyright © 2016 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Be The Match Registry; HLA typing; Human leukocyte antigen; Typing ambiguity; Typing resolution score

Mesh:

Year:  2016        PMID: 27163154     DOI: 10.1016/j.humimm.2016.05.002

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  10 in total

Review 1.  Tools for building, analyzing and evaluating HLA haplotypes from families.

Authors:  Kazutoyo Osoegawa; Steven J Mack; Matthew Prestegaard; Marcelo A Fernández-Viña
Journal:  Hum Immunol       Date:  2019-02-05       Impact factor: 2.850

2.  Modeling coverage gaps in haplotype frequencies via Bayesian inference to improve stem cell donor selection.

Authors:  Yoram Louzoun; Idan Alter; Loren Gragert; Mark Albrecht; Martin Maiers
Journal:  Immunogenetics       Date:  2017-11-09       Impact factor: 2.846

3.  The impact of HLA matching on outcomes of unmanipulated haploidentical HSCT is modulated by GVHD prophylaxis.

Authors:  Francesca Lorentino; Myriam Labopin; Katharina Fleischhauer; Fabio Ciceri; Carlheinz R Mueller; Annalisa Ruggeri; Avichai Shimoni; Martin Bornhäuser; Andrea Bacigalupo; Zafer Gülbas; Yener Koc; William Arcese; Benedetto Bruno; Johanna Tischer; Didier Blaise; Giuseppe Messina; Dietrich W Beelen; Arnon Nagler; Mohamad Mohty
Journal:  Blood Adv       Date:  2017-04-21

4.  Virtual Crossmatching in Kidney Transplantation, Shiraz Experience in Development of a Web-Based Program.

Authors:  N Jamshidian Tehrani; B Geramizadeh; S A Malekhosseini; S Nikeghbalian; A Bahador; S Gholami; G A Raees Jalali; J Roozbeh; M H Anbardar; N Soleimani; N Rasaei; S Mohammadzadeh
Journal:  Int J Organ Transplant Med       Date:  2021

5.  Optimal Donor Selection for Hematopoietic Cell Transplantation Using Bayesian Machine Learning.

Authors:  Brent R Logan; Martin J Maiers; Rodney A Sparapani; Purushottam W Laud; Stephen R Spellman; Robert E McCulloch; Bronwen E Shaw
Journal:  JCO Clin Cancer Inform       Date:  2021-05

6.  Estimating KIR Haplotype Frequencies on a Cohort of 10,000 Individuals: A Comprehensive Study on Population Variations, Typing Resolutions, and Reference Haplotypes.

Authors:  Cynthia Vierra-Green; David Roe; Jyothi Jayaraman; John Trowsdale; James Traherne; Rui Kuang; Stephen Spellman; Martin Maiers
Journal:  PLoS One       Date:  2016-10-10       Impact factor: 3.240

7.  Performance of an allele-level multi-locus HLA genotype imputation tool in hematopoietic stem cell donors from Quebec.

Authors:  Abdelhakim Ferradji; Yasmin D'Souza; Chee Loong Saw; Karim Oualkacha; Lucie Richard; Ruth Sapir-Pichhadze
Journal:  Immun Inflamm Dis       Date:  2017-08-25

Review 8.  Immunological challenges associated with artificial skin grafts: available solutions and stem cells in future design of synthetic skin.

Authors:  Saurabh Dixit; Dieudonné R Baganizi; Rajnish Sahu; Ejowke Dosunmu; Atul Chaudhari; Komal Vig; Shreekumar R Pillai; Shree R Singh; Vida A Dennis
Journal:  J Biol Eng       Date:  2017-12-13       Impact factor: 4.355

Review 9.  Selection of unrelated donors and cord blood units for hematopoietic cell transplantation: guidelines from the NMDP/CIBMTR.

Authors:  Jason Dehn; Stephen Spellman; Carolyn K Hurley; Bronwen E Shaw; Juliet N Barker; Linda J Burns; Dennis L Confer; Mary Eapen; Marcelo Fernandez-Vina; Robert Hartzman; Martin Maiers; Susana R Marino; Carlheinz Mueller; Miguel-Angel Perales; Raja Rajalingam; Joseph Pidala
Journal:  Blood       Date:  2019-07-10       Impact factor: 22.113

10.  Common, intermediate and well-documented HLA alleles in world populations: CIWD version 3.0.0.

Authors:  Carolyn K Hurley; Jane Kempenich; Kim Wadsworth; Jürgen Sauter; Jan A Hofmann; Daniel Schefzyk; Alexander H Schmidt; Pablo Galarza; Maria B R Cardozo; Malgorzata Dudkiewicz; Lucie Houdova; Pavel Jindra; Betina S Sorensen; Latha Jagannathan; Ankit Mathur; Tiina Linjama; Tigran Torosian; Rafi Freudenberger; Anastasios Manolis; John Mavrommatis; Nezih Cereb; Sigal Manor; Nira Shriki; Nicoletta Sacchi; Reem Ameen; Raewyn Fisher; Heather Dunckley; Irene Andersen; Ahmed Alaskar; Mohsen Alzahrani; Ali Hajeer; Dunia Jawdat; Grazia Nicoloso; Pawinee Kupatawintu; Louise Cho; Ashminder Kaur; Mats Bengtsson; Jason Dehn
Journal:  HLA       Date:  2020-01-31       Impact factor: 4.513

  10 in total

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