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Updated: May 31, 2026

Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation
Published on: September 6, 2017
HLA polymorphism in Sudanese renal donors
Ameer M Dafalla1, D J McCloskey, Almutaz A Alemam
1Department of Surgery, Faculty of Medicine, University of Gezira, Sudan.
This study establishes a crucial database for renal transplantation in Sudan by analyzing Human Leukocyte Antigen (HLA) frequencies. Findings reveal significant genetic diversity, indicating admixture with neighboring populations.
Area of Science:
- Immunogenetics
- Transplantation Science
- Population Genetics
Background:
- Renal transplantation requires understanding Human Leukocyte Antigen (HLA) compatibility for success.
- Limited data exists on HLA antigen and haplotype frequencies in Sudan, hindering local transplantation efforts.
Purpose of the Study:
- To create a foundational database for renal transplantation in Sudan.
- To determine Human Leukocyte Antigen (HLA) antigen and haplotype frequencies in the Sudanese population.
Main Methods:
- HLA typing was conducted on 250 healthy unrelated individuals using the complement-dependent lymphocytotoxicity test.
- Analysis included antigen frequencies (AFs) at HLA-A, -B, and -DR loci, and gene frequencies at the HLA-DQ locus.
- Haplotype frequencies (HFs) and linkage disequilibrium were assessed, including analysis across major tribal groups (Gaalia, Nile Nubian, Johyna).
Main Results:
- High polymorphism was observed across HLA loci, with specific frequent antigens identified (e.g., A2, B51, DR13, DQ1).
- Common HLA-A and -B haplotypes in linkage disequilibrium were identified, such as A24-B38, A1-B7, and A3-B52.
- Tribal analysis revealed distinct common haplotypes within Gaalia, Johyna, and Nile Nubian populations.
Conclusions:
- The study provides essential HLA data for the Sudanese Renal Transplantation Program.
- Significant genetic heterogeneity in HLA class I and II polymorphisms suggests recent admixture with Arab and African populations.
- This genetic landscape is critical for optimizing donor-recipient matching in Sudanese renal transplants.
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