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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 | |
3 | 2022-05 | 41348 | AU + NZ | 7748 8261 | AU-ABMDR NZ-NZBMDR | |
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 | |
7 | 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 | |
9 | 2022-05 | 74633 | CY | 4278 9751 | CY-Par BMDR CY-CBMDR | |
10 | 2022-05 | 75810 | CZ | 4753 5440 | CZ-CSCR CZ-CNMDR | |
11 | 2022-05 | 2627544 | DE | 5525 6939 | DE-DKMS DE-ZKRD | |
12 | 2022-05 | 53849 | DK | 2015 7484 | DK-DSCDW DK-DSDE | |
13 | 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 | |
17 | 2022-05 | 102358 | GR | 4979 | GR-HTO | |
18 | 2022-05 | 651085 | IL | 5239 4987 4068 | IL-Hadassah IL-Ezer Miz. IL-SHBB | |
19 | 2022-05 | 530272 | IN | 2824 4131 4460 8196 8486 9935 | IN-GeneBand IN-MDR IN-ArjanVir IN-ArjanVir IN-Datri IN-DKMS-BMST | |
20 | 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 | |
24 | 2022-05 | 11029 | PT | 7358 | PT-Cedace | |
25 | 2022-05 | 97139 | SA | 1810 2107 | SA-KFSHRC 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 | |
30 | 2022-05 | 1723292 | US | 3553 | US-NMDP | |
31 | 2022-05 | 97953 | US-GOL | 1033 | US-GOL | |
32 | 2022-05 | 564561 | CN+HK+TW+JP | eas | Search&Match:eas1212 1714 2197 3105 3458 4070 5812 6459 6681 6692 6933 | |
33 | 2022-05 | 2398213 | AT+CZ+CY+GR+PL+TR+BG+HU+ HR+LT+MK+RU+RO+RS+SK+SI | eeu | Search&Match:eeu1005 1372 1695 2073 2614 3503 3893 3918 4278 4307 4398 4565 4650 4753 4961 4979 5019 5391 5440 5509 5712 7197 7414 8162 8256 8714 9751 9778 | |
34 | 2022-05 | 413438 | AR+BR+UY+CL+PY | sam | Search&Match:sam | |
35 | 2022-05 | 38530 | ZA | |||
36 | 2022-05 | 35895 | IR | |||
100 | 2022-05 | 151,204 | DE-ASSW | - | DE-ASSW subset | |
101 | 2022-05 | 656,591 | US-AF | - | US-AF subset (ZKRD_estimation) | |
102 | 2022-05 | 796,780 | US-AS | - | US-AS subset (ZKRD_estimation) | |
103 | 2022-05 | 3,740,668 | US-CA | - | US-CA subset (ZKRD_estimation) | |
104 | 2022-05 | 1,002,893 | US-HI | - | US-HI subset (ZKRD_estimation) | |
999 | 2022-05 | 11,430,561 | All donors |
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.
NOTE: None of the Japanese donors have been typed for DQB1 this means that no Japanese donors were included in the calculations. This means that the haplotype frequency set applied to Japanese donors are probably biased against Japanese haplotype frequencies. We have kindly received a self-generated haplotype frequency set from the Japanese registry and are working on integrating it in the Hap-E algorithm that is part of Search and Match.
NOTE: in some cases a countries donors may be used in a national haplotype frequency set as well as a regional one. For example Austrian donors are used in their own set (#2) as well as the Eastern Europe region set (#33). When calculating match probabilities always the most specific set is used. So for donors from IONs 2614 or 4961 set #2 is used, but for Romanian donors there were not enough high resolution donors for their own set so the regional set is used (#33).
It is important to know that your organisations frequency set is changeable!
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