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Suitability of haematopoietic cell donors: updated consensus recommendations from the WBMT standing committee on donor issues.

Autor: Worel N; Department of Blood Group Serology and Transfusion Medicine, Medical University Vienna, Vienna, 1090, Austria. Electronic address: nina.worel@meduniwien.ac.at., Aljurf M; Oncology Center, King Faisal Specialist Hospital & Research Center, Riyadh, Riyadh Province, Saudi Arabia., Anthias C; Anthony Nolan, London UK; Royal Marsden Hospital, London, UK., Buser AS; Regional Blood Transfusion Service, Swiss Red Cross, Basel, Switzerland; Hematology, University Hospital Basel, University of Basel, Basel, Switzerland., Cody M; National Marrow Donor Program/Be The Match, Minneapolis, MN, USA., Fechter M; Matchis Foundation (the Dutch Centre for Stem Cell Donors), Leiden, the Netherlands., Galeano S; Department of Haematology, Hospital Británico, Montevideo, Uruguay., Greinix HT; Division of Haematology, Medical University Graz, Graz, Austria., Kisch AM; Department of Haematology, Oncology, Radiation Physics, Skane University Hospital, Lund, Sweden; Institute of Health Sciences, Lund University, Sweden., Koh MBC; Infection and Immunity Institute, St George's, University of London, London, UK; Department of Haematology, St George's Hospital, London, UK; Cell Therapy Programme, Health Sciences Authority, Singapore, Singapore., Mengling T; German Bone Marrow Donor Center, Tübingen, Germany., Nicoloso G; Swiss Transfusion Swiss Red Cross, Swiss Blood Stem Cells, Bern, Switzerland., Niederwieser D; Medical Clinic and Policlinic 1, Haematology, Cellular Therapy and Hemostaseology, Leipzig Medical Centre, University Leipzig, Leipzig, Germany., Pulsipher MA; Division of Pediatric Haematology and Oncology, Intermountain Primary Children's Hospital, Huntsman Cancer Institute at the Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, UT, USA., Seber A; Hospital Samaritano and Insituto de Oncologia Pediatrica - Graacc-Unifesp, São Paulo, Brazil., Shaw BE; Center for International Blood and Marrow Transplant Research (CIBMTR), Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA., Stefanski HE; National Marrow Donor Program/Be The Match, Minneapolis, MN, USA., Switzer GE; Departments of Medicine, Psychiatry, and Clinical and Translational Science, University of Pittsburgh, Pittsburgh, PA, USA., Szer J; Department of Clinical Haematology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; The Royal Melbourne Hospital, Melbourne, VIC, Australia., van Walraven SM; Department for Quality and Release Management, Sanquin Blood Bank, Amsterdam, Netherlands., Yang H; Australian Bone Marrow Donor Registry, Sydney, NSW, Australia., Halter JP; Hematology, University Hospital Basel, University of Basel, Basel, Switzerland.

Publikováno v: The Lancet. Haematology [Lancet Haematol] 2022 Aug; Vol. 9 (8), pp. e605-e614.

The probability of identifying a 10/10 HLA allele-matched unrelated donor is highly predictable.

Autor: Tiercy, J.-M.¹ jean-marie.tiercy@medecine.unige.ch, Nicoloso, G.², Passweg, J.³, Schanz, U.⁴, Seger, R.⁵, Chalandon, Y.³, Heim, D.⁶, Güngör, T.⁵, Schneider, P.⁷, Schwabe, R.², Gratwohl, A.⁶

Publikováno v: Bone Marrow Transplantation. Sep2007, Vol. 40 Issue 6, p515-522. 8p. 7 Charts, 1 Graph.

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The HLA-net GENE[RATE] pipeline for effective HLA data analysis and its application to 145 population samples from Europe and neighbouring areas

Autor: Nunes JM1, Buhler S, Roessli D, Sanchez-Mazas A, Andreani M, Benhamamouch S, Boldyreva M, Canossi A, Chiaroni J, Darke C, Di Cristofaro J, Dubois V, Elamin N, Eliaou JF, Fadhlaoui-Zid K, Fischer GF, Grubic Z, Jaatinen T, Kolesar L, Ligeiro D, Lokki ML, Mehra N, Nicoloso G, Papaioannou Voniatis D, Papasteriades C, Piancatelli D, Poli F, Romon Alonso I, Slavcev A, Spiroski M, Spyropoulou-Vlachou M, Sulcebe G, Suslova T, Testi M, Tiercy JM, Toungouz Nevessignsky M, Varnavidou-Nicolaidou A, Vidan-Jeras B.

Publikováno v: Tissue Antigens
Tissue Antigens, Wiley, 2014, 83 (5), pp.307-23. ⟨10.1111/tan.12356⟩
Tissue Antigens; Vol 83
Tissue Antigens, Vol. 83, No 5 (2014) pp. 307-323
Tissue antigens 83 (2014): 307–323. doi:10.1111/tan.12356
info:cnr-pdr/source/autori:Nunes JM1, Buhler S, Roessli D, Sanchez-Mazas A, Andreani M, Benhamamouch S, Boldyreva M, Canossi A, Chiaroni J, Darke C, Di Cristofaro J, Dubois V, Elamin N, Eliaou JF, Fadhlaoui-Zid K, Fischer GF, Grubic Z, Jaatinen T, Kolesar L, Ligeiro D, Lokki ML, Mehra N, Nicoloso G, Papaioannou Voniatis D, Papasteriades C, Piancatelli D, Poli F, Romon Alonso I, Slavcev A, Spiroski M, Spyropoulou-Vlachou M, Sulcebe G, Suslova T, Testi M, Tiercy JM, Toungouz Nevessignsky M, Varnavidou-Nicolaidou A, Vidan-Jeras B./titolo:The HLA-net GENE[RATE] pipeline for effective HLA data analysis and its application to 145 population samples from Europe and neighbouring areas/doi:10.1111%2Ftan.12356/rivista:Tissue antigens/anno:2014/pagina_da:307/pagina_a:323/intervallo_pagine:307–323/volume:83
Tissue antigens
Tissue Antigens, 2014, 83 (5), pp.307-23. ⟨10.1111/tan.12356⟩

International audience; In this review, we present for the first time an integrated version of the Gene[rate] computer tools which have been developed during the last 5 years to analyse human leukocyte antigen (HLA) data in human populations, as well

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86011f25a6f6721d328618373acd49cb
https://hal.archives-ouvertes.fr/hal-00985029