High-resolution HLA phased haplotype frequencies to predict the success of unrelated donor searches and clinical outcome following hematopoietic stem cell ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-05

AUTHORS

Stéphane Buhler, Helen Baldomero, Sylvie Ferrari-Lacraz, José Manuel Nunes, Alicia Sanchez-Mazas, Stravroula Massouridi-Levrat, Dominik Heim, Jörg Halter, Gayathri Nair, Yves Chalandon, Urs Schanz, Tayfun Güngör, Grazia Nicoloso, Jean-Marie Tiercy, Jakob Passweg, Jean Villard

ABSTRACT

HLA matching is a critical factor for successful allogeneic hematopoietic stem cell transplantation. For unrelated donor searches, matching is usually based on high-resolution typing at five HLA loci, looking for a 10/10 match. Some studies have proposed that further matching at the haplotype level could be beneficial for clinical outcome. In this study, we determined the phased haplotypes of 291 patients using family members and segregation analysis. The sum of ranks of the haplotypes carried by patients was used as a surrogate predictor of a successful unrelated donor search. The putative impact of haplotypes was then analyzed in a cohort of 211 recipients transplanted with 10/10 matched unrelated donors. A logistic regression analysis showed a highly significant effect of the haplotypes in the outcome of a search, but we did not find any significant effect on overall survival, graft versus host disease or relapse/progression following HSCT. This study provides useful data for the optimization of unrelated bone marrow donor searches, but does not confirm previous reports that matching at the haplotype level has a clinical impact following HSCT. Due to the extreme polymorphism of HLA genes, further studies are warranted to better understand the many factors at play. More... »

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41409-019-0520-6

DOI

http://dx.doi.org/10.1038/s41409-019-0520-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113261644

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30953025


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HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41409-019-0520-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41409-019-0520-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41409-019-0520-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41409-019-0520-6'


 

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