Laboratoire dHistocompatibilite et dimmunologie

Brié-et-Angonnes, France

Laboratoire dHistocompatibilite et dimmunologie

Brié-et-Angonnes, France
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Nunes J.M.,University of Geneva | Riccio M.E.,University of Geneva | Buhler S.,University of Geneva | Di D.,University of Geneva | And 22 more authors.
Tissue Antigens | Year: 2010

During the 15th International Histocompatibility and Immunogenetics Workshop (IHIWS), 14 human leukocyte antigen (HLA) laboratories participated in the Analysis of HLA Population Data (AHPD) project where 18 new population samples were analyzed statistically and compared with data available from previous workshops. To that aim, an original methodology was developed and used (i) to estimate frequencies by taking into account ambiguous genotypic data, (ii) to test for Hardy-Weinberg equilibrium (HWE) by using a nested likelihood ratio test involving a parameter accounting for HWE deviations, (iii) to test for selective neutrality by using a resampling algorithm, and (iv) to provide explicit graphical representations including allele frequencies and basic statistics for each series of data. A total of 66 data series (1-7 loci per population) were analyzed with this standard approach. Frequency estimates were compliant with HWE in all but one population of mixed stem cell donors. Neutrality testing confirmed the observation of heterozygote excess at all HLA loci, although a significant deviation was established in only a few cases. Population comparisons showed that HLA genetic patterns were mostly shaped by geographic and/or linguistic differentiations in Africa and Europe, but not in America where both genetic drift in isolated populations and gene flow in admixed populations led to a more complex genetic structure. Overall, a fruitful collaboration between HLA typing laboratories and population geneticists allowed finding useful solutions to the problem of estimating gene frequencies and testing basic population diversity statistics on highly complex HLA data (high numbers of alleles and ambiguities), with promising applications in either anthropological, epidemiological, or transplantation studies. © 2010 John Wiley & Sons A/S.


Benitez O.,Laboratoire dHistocompatibilite et dimmunologie | Busson M.,French Institute of Health and Medical Research | Charron D.,Laboratoire dHistocompatibilite et dimmunologie | Loiseau P.,Laboratoire dHistocompatibilite et dimmunologie
International Journal of Immunogenetics | Year: 2011

In this study we investigated the human leucocyte antigen-A (HLA-A), -B and DRB1 polymorphism of Native American population of Paraguay, the Guarani Indians. We found that the HLA variability consisted of 5 HLA-A, 7 HLA-B and 6 HLA-DRB1 groups of alleles and of several specific alleles (B*1504, B*3505, B*3912, B*4004, B*5104, DRB1*0411, DRB1*1413) common in other Native American populations. The comparison of the HLA polymorphism of the Guaranis from Paraguay with the «Mestizos» of Paraguay and the Spaniards showed that the «Mestizos» of Paraguay are genetically very distant from the Guarani Indians of Paraguay but much more close to the Spaniards. This can be explained, at least in part, by the history of the country. Our results are of importance in transplantation, in particular in the search for an unrelated donor for a Paraguayan patient requiring hematopoietic stem cell transplantation. © 2010 Blackwell Publishing Ltd.


Gourraud P.A.,Agence de la Biomedecine | Balere M.L.,Agence de la Biomedecine | Faucher C.,Agence de la Biomedecine | Loiseau P.,Laboratoire dHistocompatibilite et dimmunologie | And 3 more authors.
Tissue Antigens | Year: 2014

In order to study the impact of human leucocyte antigen (HLA) polymorphism distribution in identifying a matched haematopoietic stem cells unrelated donor (UD), we performed a multi-centric retrospective analysis with the aim of comparing the HLA-A, HLA-B, HLA-C, HLA-DRB1 and HLA-DQB1 phenotypes of 2126 patients (772 patients for whom a donor search failed to identify a matched UD, and 1354 patients who received a 10/10 allele level matched UD). Our results showed that rare HLA-C is often responsible for difficulty in identifying a donor. This locus may add a degree of complexity to a supposed 'frequent' HLA-A HLA-B and HLA-DRB1 phenotype, turning this phenotype into a less frequent one. For example, 32.5% of the phenotypes in the non-transplanted patients could not be explained by any of the pairs of known HLA-A, HLA-B, HLA-C and HLA-DRB1 haplotypes while this percentage dropped to less than 2% if combinations of only HLA-A, HLA-B and HLA-DRB1 haplotypes were considered. Such situations can be anticipated by computing an index, based on HLA haplotype frequency, the average registry sample size (ARS). ARS is defined as the inverse of the phenotype frequency computed using all corresponding pairs of haplotype frequencies. ARS confirmed that the most significant difference between transplanted and non-transplanted patients was correlated with the introduction of the locus HLA-C in the analysis (median: 8.3e+4 vs 3.1e+6, P<0.0001). The higher the ARS the lower the likelihood of finding a 10/10 match UD reflecting the rareness of the patient's HLA. The area under receiver operator characteristics (AUROC) values of the ARS computation for HLA-A, HLA-B and HLA-DRB1 was 0.82 (0.80; 0.84) at a low-resolution level (two digits). Overall, our study promotes the use of haplotype frequency-based computations to develop computer-assisted donor search. © 2013 John Wiley & Sons A/S.

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