High-throughput sequencing defines donor and recipient HLA B-cell epitope frequencies for prospective matching in transplantation.
Jenny N TranOliver P GüntherKaren R SherwoodFranz FenningerLenka L AllanJames LanRuth Sapir-PichhadzeRene DuquesnoyFrans ClaasSteven G E MarshW Robert McMasterPaul A Keownnull nullPublished in: Communications biology (2021)
Compatibility for human leukocyte antigen (HLA) genes between transplant donors and recipients improves graft survival but prospective matching is rarely performed due to the vast heterogeneity of this gene complex. To reduce complexity, we have combined next-generation sequencing and in silico mapping to determine transplant population frequencies and matching probabilities of 150 antibody-binding eplets across all 11 classical HLA genes in 2000 ethnically heterogeneous renal patients and donors. We show that eplets are more common and uniformly distributed between donors and recipients than the respective HLA isoforms. Simulations of targeted eplet matching shows that a high degree of overall compatibility, and perfect identity at the clinically important HLA class II loci, can be obtained within a patient waiting list of approximately 250 subjects. Internal epitope-based allocation is thus feasible for most major renal transplant programs, while regional or national sharing may be required for other solid organs.
Keyphrases
- genome wide
- kidney transplantation
- end stage renal disease
- genome wide identification
- copy number
- high throughput sequencing
- endothelial cells
- ejection fraction
- chronic kidney disease
- public health
- high resolution
- peritoneal dialysis
- healthcare
- molecular docking
- stem cells
- social media
- prognostic factors
- monoclonal antibody
- health information
- mass spectrometry
- transcription factor
- molecular dynamics
- cancer therapy
- cell free
- bone marrow
- circulating tumor
- binding protein
- neural network