Population-agnostic real-time molecular mismatch estimation using rSSO-defined HLA allele strings: minimal impact of allelic discordance with NGS
The first allele listed in the rSSO-derived MAC string provides a reliable, population-agnostic surrogate for high-resolution HLA typing in molecular mismatch assessment. Although allele-level discordance occurs, it rarely results in clinically meaningful increases in eplet mismatch burden. This laboratory-based approach enables real-time molecular mismatch estimation in time-sensitive settings and facilitates retrospective analysis of cohorts lacking sequencing-based HLA data, supporting broader integration of molecular mismatch into precision transplantation practice.
Authors
- Rajesh Rajalingam (ORCID: https://orcid.org/0000-0002-4740-9386)
- Denice Kong
- Gilberto J. da Gente
- Pawan Kumar Raghav (ORCID: https://orcid.org/0000-0002-2440-7134)
- Neelam Sharma (ORCID: https://orcid.org/0000-0002-5200-7330)
Institutions
- University of California, San Francisco (US)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-03-11
- DOI
- https://doi.org/10.3389/fimmu.2026.1781594
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of California, San Francisco