The DQ barrier: improving organ allocation equity using HLA-DQ information
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Updated: May 15, 2026

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation
Published on: September 6, 2017
Anat R Tambur1, Joseph R Leventhal, Jennifer R Zitzner
1Transplant Immunology Laboratory, Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, 303 E. Chicago Avenue, Tarry Building Suite 11-711, Chicago, IL 60611-3008, USA. a-tambur@northwestern.edu
Insights
Considering human leukocyte antigen (HLA)-DQα/β combinations improves kidney transplant crossmatch accuracy. This approach allows patients with specific HLA-DQ antibodies to proceed with crossmatch, enhancing organ allocation equity.
Area of Science:
- Immunogenetics
- Transplantation immunology
- Molecular biology
Background:
- Current kidney allocation algorithms primarily use HLA-A, -B, and -DR loci.
- HLA-DQ unacceptable antigen assignment overlooks the polymorphic DQα chain, impacting antibody recognition.
Observation:
- Patients with HLA-DQ antibodies were analyzed for crossmatch (XM) outcomes.
- High-resolution HLA typing identified specific DQα/β allele combinations.
Findings:
- 24% of patients with HLA-DQ antibodies had negative flow XM due to allelic DQα/β mismatches.
- Virtual XM incorporating DQα/β combinations accurately predicted over 98% of XM results.
Implications:
- Excluding patients based on serologic HLA-DQ antigens may hinder transplant opportunities.
- Integrating DQα/β allele information can enhance virtual XM accuracy and promote equitable organ allocation.
Background:
The United Network for Organ Sharing algorithm for deceased-donor kidney allocation considers only the human leukocyte antigen (HLA)-A, HLA-B, and HLA-DR loci. Although HLA-DQ serologic specificities can be entered as unacceptable antigens, they are assigned only by the identity of the DQβ chain, disregarding the role of the similarly polymorphic α chain. DQα/β combinations result in unique antigenic epitopes, which serve as targets to different antibodies. Therefore, the presence of HLA antibodies to one DQα/β combination should not preclude negative crossmatch (XM) against another combination. In this retrospective analysis, patients were allowed XM against a particular donor if they had antibodies to some, but not all, DQα/β allele combinations with the donor serologic HLA-DQ antigens.
Methods:
HLA antibody signature was obtained using solid-phase Luminex-based antibody analysis. Results were captured at the high-resolution level (as provided by the positive beads). Potential donors were typed to include information on both HLA-DQA and HLA-DQB alleles.
Results:
Of the 1130 flow XM assays performed, 147 patients had antibodies to donor serologic HLA-DQ antigens. Thirty-five of those patients had antibodies to an allelic DQα/β combination within the donor serologic DQ specificity that were different from the donor's DQα/β, leading to negative flow XM results (24%). Virtual XM, accounting for donor DQα/β combinations, successfully predicts more than 98% of XM outcomes.
Conclusions:
In patients with allelic DQα/β antibodies, denying the opportunity for XM based on serologically defined unacceptable antigens can disadvantage the patient. Larger cohort studies are required to substantiate our observation. Introducing DQα/β combination information may increase virtual XM accuracy and organ allocation equity.
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