Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Ireland South | 2.3000 | | 250 |
|
2 | A*03:01-B*07:02-DRB1*04:04 | | Sweden Southern Sami | 1.2000 | | 130 |
|
3 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04 | | South Africa Caucasians | 1.1100 | | 102 |
|
4 | A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Ireland South | 1.0000 | | 250 |
|
5 | A*02:01-B*07:02-DRB1*04:04-DQB1*03:02 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
6 | A*03:01-B*07:02-DRB1*04:04-DQB1*05:01 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
7 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:04:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
8 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*06:02:01-DPB1*02:01:02 | | South African Black | 0.3520 | | 142 |
|
9 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
10 | B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
11 | A*02:01-B*07:02-C*07:02-DRB1*04:04-DQA1*03:01-DQB1*03:01 | | Brazil Puyanawa | 0.3333 | | 150 |
|
12 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02:01 | | England North West | 0.3000 | | 298 |
|
13 | A*66:01-B*07:02-C*06:02-DRB1*04:04-DQA1*05:01-DQB1*06:02-DPB1*17:01 | | South Africa Worcester | 0.3000 | | 159 |
|
14 | A*02:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - France minority | 0.2900 | | 1,406 |
|
15 | A*01:01:01-B*07:02:01-C*12:02:02-DRB1*04:04:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
16 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
17 | A*03:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - United Kingdom minority | 0.2370 | | 1,043 |
|
18 | A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:04:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.2318 | | 1,510 |
|
19 | A*11:01-B*07:02-C*03:04-DRB1*04:04-DQB1*03:02:01 | | England North West | 0.2000 | | 298 |
|
20 | A*11:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02:01 | | England North West | 0.2000 | | 298 |
|
21 | A*03:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - France minority | 0.1990 | | 1,406 |
|
22 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
23 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1710 | | 4,335 |
|
24 | A*24:02-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Austria minority | 0.1680 | | 1,698 |
|
25 | A*03:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Romania minority | 0.1620 | | 1,234 |
|
26 | A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | USA African American pop 4 | 0.1310 | | 2,411 |
|
27 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Germany DKMS - Italy minority | 0.1290 | | 1,159 |
|
28 | A*02:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Austria minority | 0.0990 | | 1,698 |
|
29 | A*03:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Netherlands minority | 0.0960 | | 1,374 |
|
30 | A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.0840 | | 1,463 |
|
31 | A*02:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Netherlands minority | 0.0720 | | 1,374 |
|
32 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
33 | A*03:01-B*07:02-C*07:02-DRB1*04:04 | | Poland DKMS | 0.0667 | | 20,653 |
|
34 | A*24:02-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - United Kingdom minority | 0.0640 | | 1,043 |
|
35 | A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:02 | | Russia Karelia | 0.0564 | | 1,075 |
|
36 | A*03:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Croatia minority | 0.0540 | | 2,057 |
|
37 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0520 | | 23,595 |
|
38 | B*07:02-DRB1*04:04 | | Italy pop 5 | 0.0500 | | 975 |
|
39 | A*11:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
40 | A*25:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - United Kingdom minority | 0.0480 | | 1,043 |
|
41 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
42 | A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India North UCBB | 0.0460 | | 5,849 |
|
43 | A*26:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Spain minority | 0.0450 | | 1,107 |
|
44 | A*24:02-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Romania minority | 0.0410 | | 1,234 |
|
45 | A*03:02-B*07:02-DRB1*04:04 | | Israel Argentina Jews | 0.0396 | | 4,307 |
|
46 | A*11:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
47 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0365 | | 23,595 |
|
48 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India Central UCBB | 0.0360 | | 4,204 |
|
49 | A*02:01-B*07:02-DRB1*04:04 | | Israel USSR Jews | 0.0353 | | 45,681 |
|
50 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Germany DKMS - Turkey minority | 0.0350 | | 4,856 |
|
51 | A*02:01-B*07:02-C*07:02-DRB1*04:04 | | Poland DKMS | 0.0343 | | 20,653 |
|
52 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0342 | | 23,595 |
|
53 | A*03:01-B*07:02-C*07:630-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
54 | A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
55 | A*32:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
56 | A*24:02-B*07:02-C*07:02-DRB1*04:04 | | Poland DKMS | 0.0332 | | 20,653 |
|
57 | A*03:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Austria minority | 0.0320 | | 1,698 |
|
58 | A*03:02-B*07:02-DRB1*04:04 | | Israel USSR Jews | 0.0320 | | 45,681 |
|
59 | A*01:03-B*07:02-DRB1*04:04 | | Israel YemenJews | 0.0264 | | 15,542 |
|
60 | A*03:01-B*07:02-C*07:02-DRB1*04:04 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
61 | A*31:08-B*07:02-DRB1*04:04 | | Israel USSR Jews | 0.0256 | | 45,681 |
|
62 | A*11:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India Tamil Nadu | 0.0240 | | 2,492 |
|
63 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01 | | Germany DKMS - German donors | 0.0214 | | 3,456,066 |
|
64 | A*24:02-B*07:02-DRB1*04:04 | | Israel Morocco Jews | 0.0214 | | 36,718 |
|
65 | A*01:01-B*07:02-C*12:03-DRB1*04:04-DQB1*06:03 | | India East UCBB | 0.0208 | | 2,403 |
|
66 | A*02:03-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India East UCBB | 0.0208 | | 2,403 |
|
67 | A*33:03-B*07:02-C*03:03-DRB1*04:04-DQB1*03:02 | | India East UCBB | 0.0208 | | 2,403 |
|
68 | A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India Tamil Nadu | 0.0200 | | 2,492 |
|
69 | A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*06:01 | | Germany DKMS - German donors | 0.0186 | | 3,456,066 |
|
70 | A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0179 | | 3,456,066 |
|
71 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0172 | | 3,456,066 |
|
72 | A*02:02-B*07:02-DRB1*04:04 | | Israel Ethiopia Jews | 0.0163 | | 5,928 |
|
73 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India West UCBB | 0.0149 | | 5,829 |
|
74 | A*03:01-B*07:02-DRB1*04:04 | | Hong Kong Chinese cord blood registry | 0.0128 | | 3,892 |
|
75 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*06:01 | | Germany DKMS - German donors | 0.0125 | | 3,456,066 |
|
76 | A*33:03-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India Central UCBB | 0.0123 | | 4,204 |
|
77 | A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | Germany DKMS - Turkey minority | 0.0120 | | 4,856 |
|
78 | A*31:12-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
79 | A*68:02-B*07:02-DRB1*04:04 | | Israel Arab pop 2 | 0.0115 | | 12,301 |
|
80 | A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0108 | | 3,456,066 |
|
81 | A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01 | | Germany DKMS - German donors | 0.0107 | | 3,456,066 |
|
82 | A*11:01-B*07:02-C*07:02-DRB1*04:04 | | Poland DKMS | 0.0097 | | 20,653 |
|
83 | A*01:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India West UCBB | 0.0095 | | 5,829 |
|
84 | A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India South UCBB | 0.0089 | | 11,446 |
|
85 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India Tamil Nadu | 0.0086 | | 2,492 |
|
86 | A*03:01-B*07:02-DRB1*04:04 | | Israel USA Jews | 0.0085 | | 6,058 |
|
87 | A*03:01-B*07:02-DRB1*04:04 | | Israel Ashkenazi Jews pop 3 | 0.0083 | | 4,625 |
|
88 | A*01:01-B*07:02-DRB1*04:04 | | Israel USSR Jews | 0.0082 | | 45,681 |
|
89 | A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India South UCBB | 0.0081 | | 11,446 |
|
90 | A*02:01-B*07:02-DRB1*04:04 | | Israel YemenJews | 0.0078 | | 15,542 |
|
91 | A*03:01-B*07:02-DRB1*04:04 | | Israel USSR Jews | 0.0071 | | 45,681 |
|
92 | A*24:02-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02 | | India West UCBB | 0.0064 | | 5,829 |
|
93 | A*01:01-B*07:02-DRB1*04:04 | | Israel Iran Jews | 0.0061 | | 8,153 |
|
94 | A*03:02-B*07:02-DRB1*04:04 | | Israel Poland Jews | 0.0060 | | 13,871 |
|
95 | A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0056 | | 23,595 |
|
96 | A*32:01-B*07:02-DRB1*04:04 | | Israel Tunisia Jews | 0.0055 | | 9,070 |
|
97 | A*26:01-B*07:02-C*07:02-DRB1*04:04 | | Poland DKMS | 0.0048 | | 20,653 |
|
98 | A*32:01-B*07:02-C*02:02-DRB1*04:04 | | Poland DKMS | 0.0048 | | 20,653 |
|
99 | A*32:01-B*07:02-DRB1*04:04 | | Israel USSR Jews | 0.0044 | | 45,681 |
|
100 | A*03:01-B*07:02-C*07:48-DRB1*04:04-DQB1*04:02 | | India South UCBB | 0.0044 | | 11,446 |
|
* 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).