Martin Maiers1, Michael Halagan2, Sangeeta Joshi3, H Sudarshan Ballal3, Latha Jagannatthan4, Sharat Damodar5, Periathiruvadi Srinivasan6, Saranya Narayan6, Navin Khattry7, Pankaj Malhotra8, Ranjana W Minz8, Sandip A Shah9, Raghu Rajagopal10, Nezih Cereb11, Soo Young Yang11, Sunil Parekh12, Joy Mammen13, Dolly Daniels13, Daniel Weisdorf14. 1. National Marrow Donor Program, Minneapolis, MN, USA. Electronic address: mmaiers@nmdp.org. 2. National Marrow Donor Program, Minneapolis, MN, USA. 3. Manipal Hospital, Bangalore, India. 4. Rotary Bangalore-TTK Blood Bank, Bangalore Medical Services Trust, Bangalore, India. 5. Narayana Hrudayalaya, Bangalore, India. 6. Jeevan Stem Cell Bank, Chennai, India. 7. Tata Memorial Hospital, Mumbai, India. 8. Post Graduate Institute of Medical Education and Research, Chandigarh, India. 9. Gujarat Cancer and Research Institute, Civil Hospital Campus, Ahmedabad, India. 10. DATRI, Chennai, India. 11. DATRI, Chennai, India; Histogenetics, New York, NY, USA. 12. Marrow Donor Registry (India), Mumbai, India. 13. Christian Medical College, Vellore, India. 14. Division of Hematology, Oncology and Transplantation, University of Minnesota, MN, USA.
Abstract
BACKGROUND: For patients who do not have a suitable human leukocyte antigen (HLA)-matched family donor, unrelated donor registries of adult volunteers and banked umbilical cord blood (UCB) units provide the potential for successful haemopoietic stem-cell transplantation. The size and genetic composition of such registries determines the proportion of patients who will be able to find a suitable match. We aimed to assess the proportion of positive matches for Indian patients. METHODS: Using HLA data from ten existing donor and UCB registries and clinical transplant centres in India, we built population-based genetic models for 14 Indian regions to model Indian registry growth to predict the likelihood of identifying a suitable donor-either an adult donor or UCB-for Indian patients. We computed ranking tables of the top ten haplotypes in each regional group and compared these with four US samples from the National Marrow Donor Program (NMDP) registry. FINDINGS: The mean proportion of individuals who would have a 10/10 adult donor match within India ranged from 14·4% with a registry size of 25 000 to 60·6% with a registry size of 1 000 000. Only when donor registries increased to 250 000 did the match rate within India exceed that found by searching the US-NMDP registry combined with an Indian registry of 25 000 donors. The proportion of matches increased logarithmically with increased registry size (R(2)=0·993). For a UCB registry size of 25 000, 96·4% of individuals would find a 4/6 match; however, only 18·3% would have a 6/6 match. INTERPRETATION: Serial match modelling and follow-up comparisons can identify the relative and progressively greater value of an India-based donor registry and UCB banking network to serve the Indian population. Understanding regional HLA haplotype diversity could guide registry growth and maximise benefit to patients. Similar modelling could guide planning for the needs of other ethnically distinct populations. FUNDING: University of Minnesota and the Indian Council for Medical Research.
BACKGROUND: For patients who do not have a suitable human leukocyte antigen (HLA)-matched family donor, unrelated donor registries of adult volunteers and banked umbilical cord blood (UCB) units provide the potential for successful haemopoietic stem-cell transplantation. The size and genetic composition of such registries determines the proportion of patients who will be able to find a suitable match. We aimed to assess the proportion of positive matches for Indian patients. METHODS: Using HLA data from ten existing donor and UCB registries and clinical transplant centres in India, we built population-based genetic models for 14 Indian regions to model Indian registry growth to predict the likelihood of identifying a suitable donor-either an adult donor or UCB-for Indian patients. We computed ranking tables of the top ten haplotypes in each regional group and compared these with four US samples from the National Marrow Donor Program (NMDP) registry. FINDINGS: The mean proportion of individuals who would have a 10/10 adult donor match within India ranged from 14·4% with a registry size of 25 000 to 60·6% with a registry size of 1 000 000. Only when donor registries increased to 250 000 did the match rate within India exceed that found by searching the US-NMDP registry combined with an Indian registry of 25 000 donors. The proportion of matches increased logarithmically with increased registry size (R(2)=0·993). For a UCB registry size of 25 000, 96·4% of individuals would find a 4/6 match; however, only 18·3% would have a 6/6 match. INTERPRETATION: Serial match modelling and follow-up comparisons can identify the relative and progressively greater value of an India-based donor registry and UCB banking network to serve the Indian population. Understanding regional HLA haplotype diversity could guide registry growth and maximise benefit to patients. Similar modelling could guide planning for the needs of other ethnically distinct populations. FUNDING: University of Minnesota and the Indian Council for Medical Research.
Authors: Edward W Li; Anna Lee; Maryam Vaseghi-Shanjani; Alexander Anagnostopoulos; Gabriele Jagelaviciute; Elena Kum; Tanya Petraszko; Heidi Elmoazzen; David Allan; Warren Fingrut Journal: Transfusion Date: 2020-12-02 Impact factor: 3.157
Authors: Alexander H Schmidt; Jürgen Sauter; Daniel M Baier; Jessica Daiss; Andreas Keller; Anja Klussmeier; Thilo Mengling; Gabi Rall; Tobias Riethmüller; Gerhard Schöfl; Ute V Solloch; Tigran Torosian; David Means; Helen Kelly; Latha Jagannathan; Patrick Paul; Anette S Giani; Sabine Hildebrand; Stephan Schumacher; Jan Markert; Monika Füssel; Jan A Hofmann; Thomas Schäfer; Julia Pingel; Vinzenz Lange; Johannes Schetelig Journal: Int J Immunogenet Date: 2020-02-07 Impact factor: 1.466
Authors: Alexander H Schmidt; Jürgen Sauter; Daniel M Baier; Jessica Daiss; Andreas Keller; Anja Klussmeier; Thilo Mengling; Gabi Rall; Tobias Riethmüller; Gerhard Schöfl; Ute V Solloch; Tigran Torosian; David Means; Helen Kelly; Latha Jagannathan; Patrick Paul; Anette S Giani; Sabine Hildebrand; Stephan Schumacher; Jan Markert; Monika Füssel; Jan A Hofmann; Thomas Schäfer; Julia Pingel; Vinzenz Lange; Johannes Schetelig Journal: Int J Immunogenet Date: 2020-01-06 Impact factor: 1.466
Authors: Kelly Nunes; Vitor R C Aguiar; Márcio Silva; Alexandre C Sena; Danielli C M de Oliveira; Carla L Dinardo; Fernanda S G Kehdy; Eduardo Tarazona-Santos; Vanderson G Rocha; Anna Barbara F Carneiro-Proietti; Paula Loureiro; Miriam V Flor-Park; Claudia Maximo; Shannon Kelly; Brian Custer; Bruce S Weir; Ester C Sabino; Luís Cristóvão Porto; Diogo Meyer Journal: Front Immunol Date: 2020-11-06 Impact factor: 7.561