PUBLISHED BY
Shoebridge, S., Heinzel, A., Kammer, M. et al.
PUBLISHED IN
Current Transplantation Reports
PATIENTS
ABSTRACT
HIGHLIGHTS
Beyond HLA
HLA matching explains only part of long-term transplant outcomes; genome-wide donor-recipient mismatches may add important predictive value.
EffectiveGenomic Mismatch (EGM)
The paper defines EGM as mismatches with biological relevance—such as organ expression or immune visibility—helping identify which variants truly matter.
Workflow for EGM Analysis
Steps include sequencing, variant calling, protein expression filtering, and predicting peptide-HLA binding, with tools like VEP and NetMHCpan.
NoStandardized Approach Yet
Existing studies vary widely in methods, highlighting the need for unified workflows to interpret non-HLA mismatches consistently.
ComplementsPIRCHE-T2 and Other Tools
Genomic mismatch analysis builds on established molecular HLA-epitope tools like PIRCHE-T2, expanding precision risk assessment beyond HLA.
