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5-locus Haplofrequency estimation was performed on all organisations/populations with at least 10000 donors in HLA-A, -B, -C, -DRB1 and -DQB1 types where ambiguity was low enough to be useful. Organisations in the same country/within the same population are usually combined, e.g. AT-ABMDR (Austrian ION-2614, Austrian Bone Marrow Donors) and ATand AT-Verein GFL (AustriaION- Verein geben fur Lebel4961, Verein Geben für Leben) but *not* for US-NMDP (general US population) and US-GOL (predominantly Ashkenazi Jews).
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Below, you can find a figure how the haplotype frequency (HF) sets are assigned to the donors and cord blood units. The system first determines if both COUNTRY registry ION and ETHNICITY ethnicity are provided. Registry ION is then used to look up the country/ region that it belongs to. If yes, then it will check if an ethnicity specific set for this country registry exists. If the donor for example is coming from USA and has ethnicity HISA, then we do not have a specific set available. However, there is a more broad Hispanic HF set available (USA-HI) and this will then be used.
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South America (sam): AR, BR, UY (Set number: 34)
INPUT DATA | |||||
HF set number(pop_id) | Determination date | Sample size | ISO country code | ION | Search & Match Service_Registry_ |
codes |
1 |
2022- |
05 | 226507 | AR | 5117 | AR-INCUCAI |
2 |
2022- |
05 | 149750 | AT | 2614 4961 | AT-ABMDR AT-Verein |
A
A23 |
2022- |
05 | 41348 | AU + NZ | 7748 8261 | AU-ABMDR NZ-NZBMDR |
AUS
NZ
4 |
2022- |
05 | 36351 | BE | 4201 | BE-MDPB |
5 |
2022- |
05 | 81859 | BR | 8766 | BR-REDOME |
6 |
2022- |
05 | 68077 | CA | 5103 6912 | CA-One Match CA-HemaQuec |
CND
CND37 |
2022- |
05 | 114900 | CH | 9341 | CH-SBSC |
8 |
2022- |
05 | 564150 | CN + HK + TW | 2197 6681 4070 3458 | CN-CMDP CN-Sunsh HK-HKBMDR TW-Tzu Chi |
CN
CN1
HK
TW9 |
2022- |
05 | 74633 | CY | 4278 9751 | CY-Par BMDR CY-CBMDR |
CY
CY2
10 |
2022- |
05 | 75810 | CZ | 4753 5440 | CZ-CSCR CZ-CNMDR |
CS
CS2
11 |
2022- |
05 | 2627544 | DE | 6939 | DE-ZKRD |
12 |
2022- |
05 | 53849 | DK | 2015 7484 | DK-DSCDW DK-DSDE |
DK
DK213 |
2022- |
05 | 81265 | ES | 7813 | ES-REDMO |
14 |
2022- |
05 | 39567 | FI | 9738 | Fi-FSCR |
15 |
2022- |
05 | 90069 | FR | 1804 | FR-FGM |
16 |
2022- |
05 | 636595 | GB + IE | 6354 1726 2731 9968 5590 | GB-Anthony GB-WBMDR GB-BBMR GB-DKMS IE-IUBMR |
GB
GB3
GB4
GB5IRL
17 |
2022- |
05 | 102358 | GR | 1461 | GR-CBMDP |
18 |
2022- |
05 | 651085 | IL | 5239 4987 4068 | IL-Hadassah IL-Ezer Miz. IL-SHBB |
IL
IL2
IL319 |
2022- |
05 | 530272 | IN | 8486 2824 4131 4596 | IN-Datri IN-GeneBand IN-MDR IN-BMST |
IN2
IN3
IN4
IN520 |
2022- |
05 |
84477 | IT | 7450 | IT-IBMDR |
21 |
2022- |
05 | 328557 | NL | 8139 | NL-Matchis |
22 |
2022- |
05 | 16499 | NO | 7214 | NO-NBMDR |
23 |
2022- |
05 | 1464544 | PL | 3918 5391 7414 | PL-ALF PL-Poltranspl PL-DKMS |
PL3
PL5
PL624 |
2022- |
05 | 11029 | PT | 7258 | PT-Cedace |
25 |
2022- |
05 | 97139 | SA | 8118 | SA-SSCDR |
26 |
2022- |
05 | 184283 | SE | 5285 | SE-Tobias |
27 |
2022- |
05 | 78885 | SG | 3785 | SG-BMDP |
28 |
2022- |
05 | 122133 | TH | 8362 | TH-TSCDR |
29 |
2022- |
05 | 491941 | TR | 3893 5509 3503 | TR-TRAN TR-TRIS TR-TURKOK |
TRAN
TRIS
TRKK
30 |
2022- |
05 | 1723292 | US | 3553 | US-NMDP |
31 |
2022- |
05 | 97953 | US | 1033 | US-GOL |
32 |
2022- |
05 | 564561 | CN+HK+TW+JP | eas | Search&Match:eas |
33 |
2022- |
05 | 2398213 | AT+CZ+CY+GR+PL+TR+BG+HU+ HR+LT+MK+RU+RO+RS+SK+SI | eeu | Search&Match:eeu |
A+A2+CS+CS2+CY+CY2+GR+GR2+PL3+PL5+PL6+TRAN+
TRIS+TRKK+BG+H+HR+LT+MK+R2+R4+RO+RS+SK+SLO
34 | 2022-05 | 413438 |
AR+BR+UY | sam | Search&Match:sam |
100 |
2022- |
05 | 151,204 | DE-ASSW | - | DE-ASSW subset |
101 |
2022- |
05 | 656,591 | US-AF (ZKRD) | - | US-AF subset (ZKRD_estimation) |
102 |
2022-05 | 796,780 | US-AS (ZKRD) | - | US-AS subset (ZKRD_estimation) |
103 |
2022-05 | 3,740,668 | US-CA (ZKRD) | - | US-CA subset (ZKRD_estimation) |
104 |
2022- |
05 | 1,002,893 | US-HI (ZKRD) | - | US-HI subset (ZKRD_estimation) |
999 |
2022- |
05 | 11,430,561 | Global consensus |
Since WMDA is doing these calculations on behalf of organisations, it is important for organisations to submit high resolution typing when available and donor ethnicity data. This greatly improves the haplofrequency sets generated and allows for individual donor match grades to be more accurate.
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