Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | DQB1*02:01-DPB1*02:01:02 | | China Inner Mongolia Autonomous Region Northeast | 2.2100 | | 496 |
|
2 | DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Greece pop3 | 1.6000 | | 246 |
|
3 | DRB1*03:01:01:01-DQB1*02:01-DPB1*02:01:02 | | China Inner Mongolia Autonomous Region Northeast | 1.5910 | | 496 |
|
4 | A*01:01:01-B*81:01:01-C*18:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
5 | DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*02:01 | | China Canton Han | 1.4000 | | 264 |
|
6 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 1.3618 | | 521 |
|
7 | DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Ireland South | 1.2000 | | 250 |
|
8 | DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Greece pop3 | 1.2000 | | 246 |
|
9 | DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | USA San Francisco Caucasian | 1.0000 | | 220 |
|
10 | DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | USA San Francisco Caucasian | 1.0000 | | 220 |
|
11 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.6536 | | 153 |
|
12 | DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01 | | China Zhejiang Han pop 2 | 0.6332 | | 833 |
|
13 | A*01:01:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
14 | A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:19 | | Brazil Barra Mansa Rio State Caucasian | 0.6250 | | 405 |
|
15 | A*30:02:01-B*08:01:01-C*07:18:01-DRB1*15:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
16 | A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Panama | 0.5700 | | 462 |
|
17 | A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.5154 | | 28,927 |
|
18 | A*03:01-B*53:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
19 | A*31:04-B*51:01-C*16:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
20 | DRB1*07:01:01:01-DQB1*02:01-DPB1*02:01:02 | | China Inner Mongolia Autonomous Region Northeast | 0.4760 | | 496 |
|
21 | DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Gambia pop 3 | 0.4611 | | 939 |
|
22 | A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
23 | A*33:03:01-B*58:01:01-C*02:02:02-DRB1*11:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
24 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Germany DKMS - German donors | 0.4115 | | 3,456,066 |
|
25 | DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01 | | Hong Kong Chinese HKBMDR. DQ and DP | 0.4078 | | 1,064 |
|
26 | A*32:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
27 | A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.3890 | | 1,075 |
|
28 | A*03:01:01-B*58:02:01-C*06:02:01-DRB1*11:01:02-DQB1*02:01:01-DPB1*02:01:02 | | South African Black | 0.3520 | | 142 |
|
29 | A*30:02:01-B*58:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02 | | South African Black | 0.3520 | | 142 |
|
30 | A*68:02:01-B*45:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:19 | | South African Black | 0.3520 | | 142 |
|
31 | A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.3309 | | 28,927 |
|
32 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
33 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*08:03:02-DQA1*06:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
34 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
35 | A*02:01:01-B*14:02:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
36 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
37 | A*02:01:02-B*35:02:01-C*04:01:01-DRB1*14:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
38 | A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
39 | A*68:02:01-B*15:10:01-C*03:04:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
40 | A*03:01-B*08:01-C*06:02-DRB1*03:01-DQA1*04:01-DQB1*02:01-DPB1*02:01 | | South Africa Worcester | 0.3000 | | 159 |
|
41 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.2886 | | 1,075 |
|
42 | A*02:01-B*07:02-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.2853 | | 1,075 |
|
43 | A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Germany DKMS - German donors | 0.2823 | | 3,456,066 |
|
44 | A*33:01-B*14:02-C*12:03-DRB1*11:04-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | USA San Diego | 0.2600 | | 496 |
|
45 | A*33:03:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.2551 | | 28,927 |
|
46 | A*01:01-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | Sri Lanka Colombo | 0.2101 | | 714 |
|
47 | A*01:01:01-B*51:01:01-C*07:01:02-DRB1*15:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
48 | A*02:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
49 | A*02:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*02:01:01-DPA1*02:01:08-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
50 | A*02:01:01-B*51:01:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
51 | A*24:02:01-B*41:02:01-C*17:03:01-DRB1*10:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
52 | A*02:01:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1935 | | 28,927 |
|
53 | A*02:01-B*18:01-C*05:01-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
54 | A*02:02-B*41:01-C*17:01-DRB1*04:05-DQB1*02:01-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
55 | A*23:01-B*07:02-C*03:04-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
56 | A*24:02-B*35:02-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
57 | A*30:02-B*52:01-C*12:02-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
58 | A*33:01-B*58:01-C*03:02-DRB1*04:04-DQB1*02:01-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
59 | A*68:01-B*35:02-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
60 | A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1641 | | 28,927 |
|
61 | A*31:01:02-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1627 | | 28,927 |
|
62 | A*02:01-B*14:02-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
63 | A*02:01-B*57:03-C*16:04-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
64 | A*02:02-B*42:02-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
65 | A*03:26-B*15:03-C*02:09-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
66 | A*23:01-B*47:03-C*06:02-DRB1*13:02-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
67 | A*26:30-B*44:03-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
68 | A*30:04-B*44:03-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
69 | A*34:02-B*39:10-C*12:03-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
70 | A*68:02-B*57:03-C*07:01-DRB1*15:03-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
71 | A*68:02-B*58:01-C*15:05-DRB1*13:02-DQB1*02:01-DPB1*02:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
72 | A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1591 | | 28,927 |
|
73 | A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1532 | | 28,927 |
|
74 | DRB1*13:04-DQB1*02:01-DPB1*02:01 | | Gambia pop 3 | 0.1451 | | 939 |
|
75 | A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1304 | | 28,927 |
|
76 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.1157 | | 28,927 |
|
77 | A*11:01-B*35:01-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.1129 | | 1,075 |
|
78 | A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Germany DKMS - German donors | 0.1090 | | 3,456,066 |
|
79 | A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.1049 | | 1,075 |
|
80 | DRB1*03:06-DQB1*02:01-DPB1*02:01:02 | | China Inner Mongolia Autonomous Region Northeast | 0.1010 | | 496 |
|
81 | DRB1*04:05:01-DQB1*02:01-DPB1*02:01:02 | | China Inner Mongolia Autonomous Region Northeast | 0.1010 | | 496 |
|
82 | A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.0952 | | 1,075 |
|
83 | A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02 | | Saudi Arabia pop 6 (G) | 0.0945 | | 28,927 |
|
84 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Germany DKMS - German donors | 0.0858 | | 3,456,066 |
|
85 | DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*02:01 | | China Zhejiang Han pop 2 | 0.0744 | | 833 |
|
86 | A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Germany DKMS - German donors | 0.0727 | | 3,456,066 |
|
87 | DRB1*08:04-DQB1*02:01-DPB1*02:01 | | Gambia pop 3 | 0.0726 | | 939 |
|
88 | DRB1*13:03-DQB1*02:01-DPB1*02:01 | | Gambia pop 3 | 0.0726 | | 939 |
|
89 | A*01:01-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
90 | A*02:01-B*18:01-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
91 | A*02:01-B*37:01-C*06:02-DRB1*03:01-DQA1*01:01-DQB1*02:01-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
92 | A*02:01-B*40:06-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
93 | A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
94 | A*33:03-B*58:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
95 | A*31:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
96 | A*01:01-B*55:01-C*03:03-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
97 | A*11:01-B*41:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
98 | A*03:01-B*35:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
99 | A*31:01-B*07:02-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
100 | A*01:01-B*45:01-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.0564 | | 1,075 |
|
* 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).