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Review
. 2020 Apr;47(2):139-148.
doi: 10.1111/iji.12479. Epub 2020 Feb 7.

Immunogenetics in stem cell donor registry work: The DKMS example (Part 2)

Alexander H Schmidt  1   2   3 , Jürgen Sauter  1 , Daniel M Baier  1 , Jessica Daiss  1 , Andreas Keller  1 , Anja Klussmeier  2 , Thilo Mengling  1 , Gabi Rall  1 , Tobias Riethmüller  1 , Gerhard Schöfl  2 , Ute V Solloch  1 , Tigran Torosian  4 , David Means  5 , Helen Kelly  6 , Latha Jagannathan  7   8 , Patrick Paul  7 , Anette S Giani  9 , Sabine Hildebrand  1 , Stephan Schumacher  1 , Jan Markert  1 , Monika Füssel  2 , Jan A Hofmann  1 , Thomas Schäfer  2 , Julia Pingel  1 , Vinzenz Lange  2 , Johannes Schetelig  3   10
Affiliations
Review

Immunogenetics in stem cell donor registry work: The DKMS example (Part 2)

Alexander H Schmidt et al. Int J Immunogenet. 2020 Apr.

Abstract

DKMS is a leading stem cell donor registry with more than 9 million donors. Donor registry activities share many touch points with topics from immunogenetics or population genetics. In this two-part review article, we deal with these aspects of donor registry work by using the example of DKMS. In the second part of the review, we focus on donor typing of non-HLA genes, the impact of donor age, gender and CMV serostatus on donation probabilities, the identification of novel HLA, KIR and MIC alleles by high-throughput donor typing, the activities of the Collaborative Biobank and pharmacogenetics in the donor registry context.

Keywords: CMV; DKMS; HLA; KIR; MICA/MICB; donor registry; unrelated hematopoietic stem cell transplantation.

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Figures

Figure 1
Figure 1
Cumulated and monthly numbers of samples from newly recruited DKMS donors genotyped at DKMS LSL. Coloured lines show gene‐specific cumulative numbers, grey columns indicate monthly throughput. Black horizontal bars show yearly mean throughput. The y‐axis is square root scaled. KIR_PA: KIR presence/absence of genes; KIR_AL: KIR allele level. The figure is a slightly modified update from Figure 1 in Schöfl et al. (2017)
Figure 2
Figure 2
Stem cell donation probabilities (a), stem cell donations (b) and registered stem cell donors (c) by donor age and gender. Graphs are based on 2018 data from DKMS Germany. Only donors with typing information for all six classical HLA loci are considered. Red: female; blue: male; green: total
Figure 3
Figure 3
Stem cell donation probabilities by donor age, gender and CMV IgG serostatus. Graph is based on 2018 data from DKMS Germany. Only donors with typing information for all 6 classical HLA loci are considered. Red: female; blue: male. Solid: CMV+; dashed: CMV‐; dotted: CMV IgG serostatus not available
Figure 4
Figure 4
Rate of novel HLA alleles by donor country and quarter. Percentages shown are defined per HLA class. Example: In the period from 2016 to 2019, about 0.04% of new DKMS donors from Germany had at least one novel HLA class I allele
See this image and copyright information in PMC

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