Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*66:01-B*41:01-C*17:01-DRB1*07:01 | | Brazil Vale do Ribeira Quilombos | 1.3889 | | 144 |
|
2 | A*30:04:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*665:01 | | South African Black | 0.7040 | | 142 |
|
3 | A*01:01:01-B*41:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02-DPB1*04:02:01 | | Saudi Arabia pop 6 (G) | 0.6433 | | 28,927 |
|
4 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.4354 | | 5,849 |
|
5 | A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
6 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
7 | B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
8 | A*68:02-B*41:01-C*17:01-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*03:01 | | South Africa Worcester | 0.3000 | | 159 |
|
9 | A*68:27-B*41:01-C*17:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*04:01 | | South Africa Worcester | 0.3000 | | 159 |
|
10 | A*01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
11 | A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
12 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.1784 | | 4,204 |
|
13 | A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03 | | Germany DKMS - Turkey minority | 0.1540 | | 4,856 |
|
14 | A*24:02:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
15 | A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 0.1400 | | 975 |
|
16 | A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Italy minority | 0.1290 | | 1,159 |
|
17 | A*02:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Greece minority | 0.1160 | | 1,894 |
|
18 | A*01:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Netherlands minority | 0.1090 | | 1,374 |
|
19 | A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | USA Hispanic pop 2 | 0.0940 | | 1,999 |
|
20 | A*69:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03 | | USA Hispanic pop 2 | 0.0940 | | 1,999 |
|
21 | A*02:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Spain minority | 0.0900 | | 1,107 |
|
22 | A*23:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Austria minority | 0.0880 | | 1,698 |
|
23 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0858 | | 5,829 |
|
24 | A*02:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Portugal minority | 0.0850 | | 1,176 |
|
25 | A*01:01-B*41:01-C*17:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
26 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
27 | A*23:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
28 | A*02:01-B*41:01-C*17:01-DRB1*07:01 | | Poland DKMS | 0.0565 | | 20,653 |
|
29 | A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03-DPB1*04:02 | | Russia Karelia | 0.0565 | | 1,075 |
|
30 | A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0533 | | 23,595 |
|
31 | A*24:07-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
32 | A*02:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0490 | | 1,028 |
|
33 | A*03:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
34 | A*68:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
35 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
36 | A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0440 | | 5,829 |
|
37 | A*02:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Netherlands minority | 0.0430 | | 1,374 |
|
38 | A*30:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
39 | A*30:04-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Italy minority | 0.0430 | | 1,159 |
|
40 | A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0429 | | 5,829 |
|
41 | A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0410 | | 4,856 |
|
42 | A*23:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
43 | A*33:03-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
44 | A*01:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
45 | A*11:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Netherlands minority | 0.0360 | | 1,374 |
|
46 | A*23:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - France minority | 0.0360 | | 1,406 |
|
47 | A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0343 | | 5,849 |
|
48 | A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0342 | | 5,849 |
|
49 | A*02:22-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
50 | A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
51 | A*69:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
52 | A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
53 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
54 | A*03:01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
55 | A*24:02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
56 | A*24:02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
57 | A*01:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
58 | A*23:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
59 | A*02:01-B*41:01-C*17:01-DRB1*07:01 | | Germany DKMS - Croatia minority | 0.0240 | | 2,057 |
|
60 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0218 | | 11,446 |
|
61 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
62 | A*23:01-B*41:01-C*17:01-DRB1*07:01 | | Poland DKMS | 0.0209 | | 20,653 |
|
63 | A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0208 | | 2,403 |
|
64 | A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
65 | A*29:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
66 | A*02:02-B*41:01-C*17:01-DRB1*07:01 | | Poland DKMS | 0.0193 | | 20,653 |
|
67 | A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0173 | | 5,849 |
|
68 | A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0171 | | 5,849 |
|
69 | A*23:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0147 | | 23,595 |
|
70 | A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03-DPB1*14:01 | | Germany DKMS - German donors | 0.0130 | | 3,456,066 |
|
71 | A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
72 | A*11:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
73 | A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
74 | A*33:03-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
75 | A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
76 | A*33:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
77 | A*03:01-B*41:01-C*17:01-DRB1*07:01 | | Poland DKMS | 0.0095 | | 20,653 |
|
78 | A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0087 | | 11,446 |
|
79 | A*02:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
80 | A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
81 | A*03:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
82 | A*26:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
83 | A*30:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
84 | A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0057 | | 2,492 |
|
85 | A*24:03-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0057 | | 2,492 |
|
86 | A*24:07-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0057 | | 2,492 |
|
87 | A*24:10-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0057 | | 2,492 |
|
88 | A*24:17-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0057 | | 2,492 |
|
89 | A*24:32-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0057 | | 2,492 |
|
90 | A*24:55-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01 | | India Tamil Nadu | 0.0057 | | 2,492 |
|
91 | A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0052 | | 23,595 |
|
92 | A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
93 | A*24:02-B*41:01-C*17:01-DRB1*07:01 | | Poland DKMS | 0.0036 | | 20,653 |
|
94 | A*25:01-B*41:01-C*17:01-DRB1*07:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
95 | A*01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
96 | A*26:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
97 | A*68:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0018 | | 23,595 |
|
* 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).