A precision virtual crossmatch decision support system for interpretation of ambiguous molecular HLA typing data Article Swipe
Navchetan Kaur
,
David F. Pinelli
,
E. Kransdorf
,
Marcelo J. Pando
,
Geoffrey Smith
,
Cathi Murphey
,
Malek Kamoun
,
Robert A. Bray
,
Anat R. Tambur
,
Loren Gragert
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1101/756809
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1101/756809
Virtual crossmatch (VXM) compares a transplant candidate’s unacceptable antigens to the HLA typing of the donor before an organ offer is accepted and, in selected cases, supplant a prospective physical crossmatch. However, deceased donor typing can be ambiguous, leading to uncertainty in compatibility prediction. We have developed a web application that utilizes ambiguous HLA molecular typing data to assist in VXM assessments. The application compares a candidate’s listed unacceptable antigens to computed probabilities of all possible two-field donor HLA alleles and UNOS antigens. The VIrtual CrossmaTch for mOleculaR HLA typing (VICTOR) tool can be accessed at http://www.transplanttoolbox.org/victor . We reanalyzed historical VXM cases where a transplant center’s manual interpretation of molecular typing results influenced offer evaluation. We found that VICTOR’s automated interpretation of ambiguous donor molecular typing data would influence VXM decisions. Standardized interpretation of molecular typing data, if applied to the match run, could also change which offers are made. HLA typing ambiguity has been an underappreciated source of immunological risk in organ transplantation. The VICTOR tool can serve as a testbed for development of allocation policies with the aim of decreasing offers refused due to HLA incompatibility.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/756809
- https://www.biorxiv.org/content/biorxiv/early/2019/09/05/756809.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2971545449
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- DOI
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https://doi.org/10.1101/756809Digital Object Identifier
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A precision virtual crossmatch decision support system for interpretation of ambiguous molecular HLA typing dataWork title
- Type
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preprintOpenAlex work type
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-09-05Full publication date if available
- Authors
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Navchetan Kaur, David F. Pinelli, E. Kransdorf, Marcelo J. Pando, Geoffrey Smith, Cathi Murphey, Malek Kamoun, Robert A. Bray, Anat R. Tambur, Loren GragertList of authors in order
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https://doi.org/10.1101/756809Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2019/09/05/756809.full.pdfDirect link to full text PDF
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2019/09/05/756809.full.pdfDirect OA link when available
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Human leukocyte antigen, Typing, Computer science, Tissue typing, Interpretation (philosophy), Medicine, Computational biology, Immunology, Antigen, Biology, Programming language, Speech recognitionTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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