Back to Search
Start Over
Inferred HLA Haplotype Information for Donors From Hematopoietic Stem Cells Donor Registries
- Source :
- Human Immunology. 66:563-570
- Publication Year :
- 2005
- Publisher :
- Elsevier BV, 2005.
-
Abstract
- Human leukocyte antigen (HLA) matching remains a key issue in the outcome of transplantation. In hematopoietic stem cell transplantation with unrelated donors, the matching for compatible donors is based on the HLA phenotype information. In familial transplantation, the matching is achieved at the haplotype level because donor and recipient share the block-transmitted major histocompatibility complex region. We present a statistical method based on the HLA haplotype inference to refine the HLA information available in an unrelated situation. We implement a systematic statistical inference of the haplotype combinations at the individual level. It computes the most likely haplotype pair given the phenotype and its probability. The method is validated on 301 phase-known phenotypes from CEPH families (Centre d'Etude du Polymorphisme Humain). The method is further applied to 85,933 HLA-A B DR typed unrelated donors from the French Registry of hematopoietic stem cells donors (France Greffe de Moelle). The average value of prediction probability is 0.761 (SD 0.199) ranging from 0.26 to 1. Correlations between phenotype characteristics and predictions are also given. Homozygosity (OR = 2.08; [2.02-2.14] p
- Subjects :
- Linkage disequilibrium
medicine.medical_treatment
Immunology
Context (language use)
Hematopoietic stem cell transplantation
Human leukocyte antigen
Major histocompatibility complex
Linkage Disequilibrium
Gene Frequency
HLA Antigens
medicine
Humans
Immunology and Allergy
Registries
Genetics
Models, Statistical
Models, Genetic
biology
Homozygote
Haplotype
General Medicine
Hematopoietic Stem Cells
Tissue Donors
Transplantation
Phenotype
Haplotypes
biology.protein
France
Haplotype estimation
Algorithms
Subjects
Details
- ISSN :
- 01988859
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- Human Immunology
- Accession number :
- edsair.doi.dedup.....a2123fa0fcb959b8f687d63c6aca31ca