Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*01:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
2 | A*01:01-B*39:01-C*07:02-DRB1*15:01 | | Poland DKMS | 0.0048 | | 20,653 |
|
3 | A*01:01-B*39:01-C*12:03-DRB1*15:01 | | Germany DKMS - Austria minority | 0.0290 | | 1,698 |
|
4 | A*01:01-B*39:01-C*12:03-DRB1*15:01 | | Poland DKMS | 0.0043 | | 20,653 |
|
5 | A*01:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
6 | A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*05:01 | | India Tamil Nadu | 0.0000000 | | 2,492 |
|
7 | A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*05:02 | | India Tamil Nadu | 0.0029 | | 2,492 |
|
8 | A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*05:03 | | India Tamil Nadu | 0.0000000 | | 2,492 |
|
9 | A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*06:02 | | India East UCBB | 0.0208 | | 2,403 |
|
10 | A*01:01-B*39:01-DRB1*15:01 | | Israel USSR Jews | 0.0014 | | 45,681 |
|
11 | A*01:01-B*39:01-DRB1*15:01 | | Israel Tunisia Jews | 0.0060 | | 9,070 |
|
12 | A*01:01-B*39:01-DRB1*15:01 | | Israel Argentina Jews | 0.0290 | | 4,307 |
|
13 | A*01:17-B*39:01-DRB1*15:01 | | Israel Argentina Jews | 0.0058 | | 4,307 |
|
14 | A*01:36-B*39:01-DRB1*15:01 | | Israel Argentina Jews | 0.0058 | | 4,307 |
|
15 | A*02:01:01-B*39:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
16 | A*02:01:01-B*39:01:01-C*03:03:01-DRB1*15:01:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0090 | | 5,266 |
|
17 | A*02:01:01-B*39:01:01-C*03:04:01-DRB1*15:01:01-DQB1*05:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
18 | A*02:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0113 | | 23,595 |
|
19 | A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01 | | Poland BMR | 0.0063 | | 23,595 |
|
20 | A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0105 | | 23,595 |
|
21 | A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
22 | A*02:01-B*39:01-C*02:02-DRB1*15:01 | | Germany DKMS - United Kingdom minority | 0.0960 | | 1,043 |
|
23 | A*02:01-B*39:01-C*03:03-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
24 | A*02:01-B*39:01-C*07:02-DRB1*15:01 | | Germany DKMS - Austria minority | 0.0360 | | 1,698 |
|
25 | A*02:01-B*39:01-C*07:02-DRB1*15:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
26 | A*02:01-B*39:01-C*07:02-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0392 | | 7,595 |
|
27 | A*02:01-B*39:01-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.1510 | | 18,604 |
|
28 | A*02:01-B*39:01-C*07:02-DRB1*15:01 | | Poland DKMS | 0.0030 | | 20,653 |
|
29 | A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
30 | A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:02 | | Japan pop 17 | 0.0300 | | 3,078 |
|
31 | A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
32 | A*02:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
33 | A*02:01-B*39:01-C*12:03-DRB1*15:01 | | Germany DKMS - Portugal minority | 0.0430 | | 1,176 |
|
34 | A*02:01-B*39:01-C*12:03-DRB1*15:01 | | Germany DKMS - Croatia minority | 0.0510 | | 2,057 |
|
35 | A*02:01-B*39:01-C*12:03-DRB1*15:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0490 | | 1,028 |
|
36 | A*02:01-B*39:01-C*12:03-DRB1*15:01-DQB1*05:23 | | India North UCBB | 0.0085 | | 5,849 |
|
37 | A*02:01-B*39:01-DRB1*15:01 | | Hong Kong Chinese cord blood registry | 0.0210 | | 3,892 |
|
38 | A*02:01-B*39:01-DRB1*15:01 | | Israel USSR Jews | 0.0119 | | 45,681 |
|
39 | A*02:01-B*39:01-DRB1*15:01 | | Israel Poland Jews | 0.0070 | | 13,871 |
|
40 | A*02:01-B*39:01-DRB1*15:01 | | Israel Kavkazi Jews | 0.0176 | | 2,840 |
|
41 | A*02:01-B*39:01-DRB1*15:01 | | Israel Iran Jews | 0.0123 | | 8,153 |
|
42 | A*02:02-B*39:01-DRB1*15:01 | | Israel Tunisia Jews | 0.0055 | | 9,070 |
|
43 | A*02:03:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
44 | A*02:03:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
45 | A*02:03-B*39:01-C*03:03-DRB1*15:01-DQB1*06:02 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
46 | A*02:03-B*39:01-C*07:02-DRB1*15:01-DQB1*06:01 | | India West UCBB | 0.0086 | | 5,829 |
|
47 | A*02:03-B*39:01-C*07:02-DRB1*15:01-DQB1*06:01 | | India North UCBB | 0.0085 | | 5,849 |
|
48 | A*02:03-B*39:01-C*12:04-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0131 | | 11,446 |
|
49 | A*02:06-B*39:01-C*03:04-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0174 | | 7,595 |
|
50 | A*02:06-B*39:01-C*03:04-DRB1*15:01 | | Japan pop 16 | 0.0100 | | 18,604 |
|
51 | A*02:06-B*39:01-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
52 | A*02:06-B*39:01-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.3860 | | 18,604 |
|
53 | A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.2000 | | 3,078 |
|
54 | A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
55 | A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
56 | A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0076 | | 11,446 |
|
57 | A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
58 | A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02 | | USA NMDP Hawaiian or other Pacific Islander | 0.2553 | | 11,499 |
|
59 | A*02:06-B*39:01-C*15:02-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0066 | | 7,595 |
|
60 | A*02:06-B*39:01-DRB1*15:01 | | Hong Kong Chinese cord blood registry | 0.0253 | | 3,892 |
|
61 | A*03:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
62 | A*03:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0192 | | 23,595 |
|
63 | A*03:01-B*39:01-C*03:03-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
64 | A*03:01-B*39:01-C*07:02-DRB1*15:01 | | Germany DKMS - Netherlands minority | 0.0730 | | 1,374 |
|
65 | A*03:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0044 | | 11,446 |
|
66 | A*03:01-B*39:01-C*12:03-DRB1*15:01 | | Germany DKMS - Croatia minority | 0.0460 | | 2,057 |
|
67 | A*03:01-B*39:01-C*12:03-DRB1*15:01 | | Poland DKMS | 0.0181 | | 20,653 |
|
68 | A*03:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
69 | A*03:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:48 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
70 | A*03:01-B*39:01-C*15:02-DRB1*15:01-DQB1*06:02 | | India West UCBB | 0.0086 | | 5,829 |
|
71 | A*03:01-B*39:01-DRB1*15:01 | | Israel Arab pop 2 | 0.0025 | | 12,301 |
|
72 | A*11:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0195 | | 5,266 |
|
73 | A*11:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0342 | | 5,266 |
|
74 | A*11:01-B*39:01-C*03:03-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
75 | A*11:01-B*39:01-C*07:02-DRB1*15:01 | | Germany DKMS - Netherlands minority | 0.0360 | | 1,374 |
|
76 | A*11:01-B*39:01-C*07:02-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0635 | | 7,595 |
|
77 | A*11:01-B*39:01-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.0630 | | 18,604 |
|
78 | A*11:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
79 | A*11:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
80 | A*11:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0194 | | 3,456,066 |
|
81 | A*11:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:01 | | India North UCBB | 0.0085 | | 5,849 |
|
82 | A*11:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:289 | | India South UCBB | 0.0016 | | 11,446 |
|
83 | A*11:01-B*39:01-C*15:02-DRB1*15:01-DQB1*06:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
84 | A*11:01-B*39:01-DRB1*15:01 | | Hong Kong Chinese cord blood registry | 0.0504 | | 3,892 |
|
85 | A*11:01-B*39:01-DRB1*15:01 | | Israel USSR Jews | 0.0015 | | 45,681 |
|
86 | A*11:01-B*39:01-DRB1*15:01 | | Israel Arab pop 2 | 0.0020 | | 12,301 |
|
87 | A*11:02:01-B*39:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
88 | A*11:02:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0070 | | 5,266 |
|
89 | A*11:02-B*39:01-C*07:02-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0533 | | 7,595 |
|
90 | A*11:02-B*39:01-DRB1*15:01 | | Hong Kong Chinese cord blood registry | 0.0560 | | 3,892 |
|
91 | A*24:02:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0001230 | | 23,595 |
|
92 | A*24:02:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
93 | A*24:02:01-B*39:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0391 | | 1,510 |
|
94 | A*24:02:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0138 | | 23,595 |
|
95 | A*24:02-B*39:01-C*07:02-DRB1*15:01 | | Germany DKMS - China minority | 0.0780 | | 1,282 |
|
96 | A*24:02-B*39:01-C*07:02-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0130 | | 7,595 |
|
97 | A*24:02-B*39:01-C*07:02-DRB1*15:01 | | Japan pop 16 | 0.0730 | | 18,604 |
|
98 | A*24:02-B*39:01-C*07:02-DRB1*15:01 | | Poland DKMS | 0.0046 | | 20,653 |
|
99 | A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
100 | A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).