Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Greece pop3 | 3.4000 | | 246 |
|
2 | A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*05:02:01-DPB1*04:01:01 | | China Yunnan Province Lisu | 2.5000 | | 111 |
|
3 | DRB1*15:01-DQB1*05:02-DPB1*04:01 | | Greece pop3 | 1.4000 | | 246 |
|
4 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 1.1765 | | 170 |
|
5 | A*74:01-B*18:03-C*02:10-DRB1*11:01-DQA1*01:02-DQB1*05:02-DPB1*04:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
6 | A*02:01:01-B*07:02:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
7 | A*02:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
8 | A*02:01-B*44:02-C*07:04-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Russia Karelia | 0.3366 | | 1,075 |
|
9 | A*02:01-B*27:02-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Russia Karelia | 0.3362 | | 1,075 |
|
10 | A*02:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
11 | A*02:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
12 | A*03:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
13 | A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*05:02-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
14 | A*11:01:01-B*35:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01-DQB1*05:02-DPA1*02:01:01-DPB1*04:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
15 | A*24:02:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
16 | A*68:01:01-B*58:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
17 | A*68:02:01-B*53:01:01-C*04:01:01-DRB1*16:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
18 | A*03:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
19 | A*68:01:01-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
20 | A*01:23-B*58:01-C*04:01-DRB1*14:07-DQA1*01:02-DQB1*05:02-DPB1*04:01 | | South Africa Worcester | 0.3000 | | 159 |
|
21 | A*01:01-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*05:02-DPB1*04:01 | | USA San Diego | 0.2600 | | 496 |
|
22 | A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01-DQB1*05:02:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.2432 | | 28,927 |
|
23 | A*01:01-B*18:05-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02-DPB1*04:01 | | Nicaragua Managua | 0.2165 | | 339 |
|
24 | DQB1*05:02-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.2140 | | 496 |
|
25 | DRB1*15:04-DQB1*05:02-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.2020 | | 496 |
|
26 | A*02:02:01-B*07:20-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
27 | A*36:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
28 | A*01:01-B*14:02-C*08:02-DRB1*07:01-DQB1*05:02-DPB1*04:01 | | Panama | 0.1900 | | 462 |
|
29 | A*02:01-B*44:02-C*07:01-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Panama | 0.1900 | | 462 |
|
30 | A*02:01:01-B*40:01:01-C*03:04:01-DRB1*03:01:01-DQB1*05:02:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.1480 | | 28,927 |
|
31 | DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Hong Kong Chinese HKBMDR. DQ and DP | 0.1261 | | 1,064 |
|
32 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*16:01-DQB1*05:02:01-DPB1*04:01:01 | | Saudi Arabia pop 6 (G) | 0.1241 | | 28,927 |
|
33 | DRB1*16:02:01-DQB1*05:02-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.1120 | | 496 |
|
34 | A*02:01-B*44:02-C*07:04-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.1018 | | 3,456,066 |
|
35 | A*24:02-B*15:01-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
36 | DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | China Zhejiang Han pop 2 | 0.0679 | | 833 |
|
37 | A*02:01-B*15:01-C*03:04-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Russia Karelia | 0.0627 | | 1,075 |
|
38 | DRB1*16:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | China Zhejiang Han pop 2 | 0.0600 | | 833 |
|
39 | A*02:01-B*27:02-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0571 | | 3,456,066 |
|
40 | A*02:01-B*27:05-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Russia Karelia | 0.0564 | | 1,075 |
|
41 | A*24:02-B*35:01-C*04:01-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Russia Karelia | 0.0563 | | 1,075 |
|
42 | A*02:06-B*15:11-C*03:03-DRB1*15:01-DQB1*05:02-DPB1*04:01 | | Russia Karelia | 0.0557 | | 1,075 |
|
43 | A*03:01-B*44:02-C*07:04-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0417 | | 3,456,066 |
|
44 | A*02:01-B*27:05-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0232 | | 3,456,066 |
|
45 | A*03:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0197 | | 3,456,066 |
|
46 | A*24:02-B*44:02-C*05:01-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0177 | | 3,456,066 |
|
47 | A*26:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0161 | | 3,456,066 |
|
48 | A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0157 | | 3,456,066 |
|
49 | A*02:01-B*39:06-C*12:03-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0147 | | 3,456,066 |
|
50 | A*02:01-B*44:05-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0136 | | 3,456,066 |
|
51 | DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Hong Kong Chinese HKBMDR. DQ and DP | 0.0132 | | 1,064 |
|
52 | A*02:01-B*44:02-C*05:01-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0117 | | 3,456,066 |
|
53 | A*68:01-B*27:02-C*02:02-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0110 | | 3,456,066 |
|
54 | A*11:01-B*55:01-C*03:03-DRB1*16:01-DQB1*05:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0101 | | 3,456,066 |
|
55 | DRB1*14:04-DQA1*01:01-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0039 | | 389 |
|
56 | DRB1*03:01-DQA1*05:01-DQB1*05:02-DPA1*02:07-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
57 | DRB1*13:01-DQA1*01:01-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
58 | DRB1*14:04-DQA1*01:01-DQB1*05:02-DPA1*02:01-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
59 | DRB1*15:01-DQA1*01:01-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
60 | DRB1*15:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
61 | DRB1*15:01-DQA1*02:01-DQB1*05:02-DPA1*01:06-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
62 | DRB1*15:02-DQA1*01:01-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
63 | DRB1*15:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
64 | DRB1*15:06-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
65 | DRB1*15:06-DQA1*03:02-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
66 | DRB1*15:06-DQA1*05:05-DQB1*05:02-DPA1*02:01-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
67 | DRB1*16:01-DQA1*05:05-DQB1*05:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
* 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).