Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | DRB1*04:08-DQA1*03-DQB1*03:02 | | Russia Siberia Khabarovsk Evenki | 6.0000 | | 25 |
|
2 | DRB1*04:08-DQA1*03:01/03:02/03:03-DQB1*03:02 | | Russia Siberia Lower Yenisey Ket | 2.9000 | | 17 |
|
3 | DRB1*04:08-DQA1*03:01-DQB1*03:01 | | China Urumqi Kazak | 2.4000 | | 42 |
|
4 | DRB1*04:08-DQB1*03:01 | | Sweden Northern Sami | 1.7000 | | 154 |
|
5 | DRB1*04:08-DQB1*03:02 | | Mexico Oaxaca Zapotec | 1.7000 | | 90 |
|
6 | A*03:01-B*15:01-DRB1*04:08 | | Sweden Northern Sami | 1.4000 | | 154 |
|
7 | DRB1*04:08-DQA1*03:01-DQB1*04:01 | | Australia New South Wales Aborigine | 1.1000 | | 177 |
|
8 | DRB1*04:08-DQA1*03:01-DQB1*04:02 | | Australia New South Wales Aborigine | 1.1000 | | 177 |
|
9 | DRB1*04:08-DQA1*03-DQB1*03:01/03:09 | | Russia Tuva pop3 | 1.1000 | | 44 |
|
10 | A*03:01:01-B*35:01:01-DRB1*04:08 | | Portugal Center | 1.0000 | | 50 |
|
11 | A*68-B*52-DRB1*04:08-DQB1*03:02 | | Mexico San Vicente Tancuayalab Teenek/Huastecos | 0.9400 | | 53 |
|
12 | A*24-B*48-DRB1*04:08-DQB1*03:02 | | Bolivia Quechua | 0.7200 | | 69 |
|
13 | DRB1*04:08-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.6993 | | 143 |
|
14 | A*24-B*54-C*01:02-DRB1*04:08-DQB1*04 | | Russia Transbaikal Territory Buryats | 0.6670 | | 150 |
|
15 | A*02:01-B*39:01-DRB1*04:08-DQB1*03:02 | | Mexico Veracruz Xalapa | 0.5952 | | 84 |
|
16 | DRB1*04:08-DQA1*03:01-DQB1*03:02 | | Spain Las Alpujarras | 0.5900 | | 85 |
|
17 | A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:08:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
18 | A*68:01:02-B*44:03:01-C*07:02:01-DRB1*04:08:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
19 | A*03:01-B*51:01-C*04:01-E*01:03:02-F*01:01:01-G*01:06-DRB1*04:08-DQA1*03:03-DQB1*05:01 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
20 | A*11:01:01-B*35:03:01-C*01:02:01-DRB1*04:08:01-DQA1*03:03:01-DQB1*06:01:01-DPA1*01:04:01-DPB1*15:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
21 | DRB1*04:08-DQB1*03:02 | | Georgia Caucasus Tbilisi | 0.4202 | | 119 |
|
22 | A*01:01:01:01-B*57:01:01-C*07:04:01-DRB1*04:08:01-DQB1*06:04 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
23 | A*24:02:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
24 | A*11:01-B*14:01-C*08:02-DRB1*04:08-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
25 | A*24:02-B*39:06-C*07:02-DRB1*04:08-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
26 | B*14:01-C*08:02-DRB1*04:08-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
27 | B*39:06-C*07:02-DRB1*04:08-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
28 | A*02-B*35-C*12:03-DRB1*04:08-DQB1*03 | | Russia Transbaikal Territory Buryats | 0.3340 | | 150 |
|
29 | A*02-B*54-C*01:02-DRB1*04:08-DQB1*03 | | Russia Transbaikal Territory Buryats | 0.3340 | | 150 |
|
30 | A*31-B*15-C*03:03-DRB1*04:08-DQB1*03 | | Russia Transbaikal Territory Buryats | 0.3340 | | 150 |
|
31 | A*11:01-B*35:03-C*12:03-DRB1*04:08 | | Poland DKMS | 0.3296 | | 20,653 |
|
32 | A*03:01:01-B*51:01:01-C*06:02:01-DRB1*04:08:01 | | Nicaragua Mestizo (G) | 0.3226 | | 155 |
|
33 | A*30:02:01-B*35:03:01-C*07:02:01-DRB1*04:08:01 | | Nicaragua Mestizo (G) | 0.3226 | | 155 |
|
34 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*04:08:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*150:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
35 | A*33:03:01-B*07:06-C*07:06-DRB1*04:08:01-DQB1*03:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
36 | A*68:01:02-B*51:01:01-C*03:04:01-DRB1*04:08:01-DQB1*03:01:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
37 | A*11:01:01-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01 | | Poland BMR | 0.2742 | | 23,595 |
|
38 | A*33:03:01-B*58:01:01-C*03:02:02-DRB1*04:08:01-DQB1*06:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
39 | A*24:02:01:01-B*27:05:02-C*02:02:02:01-DRB1*04:08:01-DQB1*03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
40 | A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04-DPB1*15:01 | | Russia Karelia | 0.2258 | | 1,075 |
|
41 | DRB1*04:08-DQB1*03:01 | | Mexico Mexico City Mestizo pop 2 | 0.2200 | | 234 |
|
42 | DRB1*04:08-DQB1*03:01 | | Italy pop 5 | 0.2200 | | 975 |
|
43 | DRB1*04:08-DQA1*03:02-DQB1*03:01 | | USA European American | 0.2100 | | 1,899 |
|
44 | A*02:01-B*15:01-C*01:02-DRB1*04:08 | | Italy pop 5 | 0.2000 | | 975 |
|
45 | A*11:01-B*51:01-C*15:02-DRB1*04:08-DQB1*03:01 | | England North West | 0.2000 | | 298 |
|
46 | A*23:01-B*45:01-C*06:02-DRB1*04:08-DQB1*03:01 | | England North West | 0.2000 | | 298 |
|
47 | A*24:02-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04 | | England North West | 0.2000 | | 298 |
|
48 | A*11:01:01-B*52:01:01-C*12:02:02-DRB1*04:08:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
49 | A*02:22-B*40:01-C*06:02-DRB1*04:08-DQB1*03:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
50 | A*68:01-B*51:01-C*14:02-DRB1*04:08-DQB1*03:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
51 | A*02:01-B*35:03-C*12:03-DRB1*04:08 | | Germany DKMS - Spain minority | 0.1810 | | 1,107 |
|
52 | DRB1*04:08-DQB1*03:01 | | USA Asian pop 2 | 0.1770 | | 1,772 |
|
53 | A*11:01-B*35:03-C*12:03-DRB1*04:08 | | Germany DKMS - Austria minority | 0.1760 | | 1,698 |
|
54 | A*11:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:04:01 | | Russia Nizhny Novgorod, Russians | 0.1656 | | 1,510 |
|
55 | A*01:01-B*08:01-DRB1*04:08 | | Israel Ashkenazi Jews pop 3 | 0.1650 | | 4,625 |
|
56 | A*03:01-B*51:01-C*16:02-DRB1*04:08-DQB1*03:01-DPB1*04:01 | | Tanzania Maasai | 0.1597 | | 336 |
|
57 | A*02:01-B*27:05-C*01:02-DRB1*04:08-DQB1*03:01-DPB1*02:01 | | Russia Karelia | 0.1575 | | 1,075 |
|
58 | A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*04:08:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.1420 | | 1,510 |
|
59 | A*02:01-B*15:01-C*01:02-DRB1*04:08-DQB1*03:01 | | Italy pop 5 | 0.1400 | | 975 |
|
60 | A*02:01-B*15:01-C*01:02-DRB1*04:08-DQB1*03:02 | | Italy pop 5 | 0.1400 | | 975 |
|
61 | A*02:09-B*07:02:01-C*04:01:01-DRB1*04:08:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
62 | A*03:01-B*35:03-C*08:02-DRB1*04:08-DQB1*02:02 | | Italy pop 5 | 0.1400 | | 975 |
|
63 | A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04 | | USA Hispanic pop 2 | 0.1400 | | 1,999 |
|
64 | A*24:02-B*18:01-C*07:01-DRB1*04:08-DQB1*03:01 | | Italy pop 5 | 0.1400 | | 975 |
|
65 | A*68:01:01-B*51:01:01-C*14:02:01-DRB1*04:08:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
66 | A*68:01:02-B*35:03:01-C*12:03:01-DRB1*04:08:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
67 | DRB1*04:08-DQB1*03:04 | | USA Hispanic pop 2 | 0.1390 | | 1,999 |
|
68 | A*31:01-B*51:01-C*15:02-DRB1*04:08-DQB1*03:01 | | Colombia Bogotá Cord Blood | 0.1367 | | 1,463 |
|
69 | DRB1*04:08-DQB1*03:01 | | USA African American pop 4 | 0.1300 | | 2,411 |
|
70 | A*31:01-B*51:01-C*15:02-DRB1*04:08 | | Germany DKMS - Portugal minority | 0.1280 | | 1,176 |
|
71 | A*03:02-B*13:02-DRB1*04:08 | | Israel Ethiopia Jews | 0.1250 | | 5,928 |
|
72 | A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04-DPB1*02:01 | | Russia Karelia | 0.1123 | | 1,075 |
|
73 | A*03:01-B*51:01-C*14:02-DRB1*04:08-DQB1*03:01 | | India Tamil Nadu | 0.1039 | | 2,492 |
|
74 | A*31:01-B*51:01-C*15:02-DRB1*04:08-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
75 | DRB1*04:08:01-DQB1*03:04-DPB1*04:02:01 | | China Inner Mongolia Autonomous Region Northeast | 0.1010 | | 496 |
|
76 | A*11:01-B*35:01-DRB1*04:08 | | Israel Ashkenazi Jews pop 3 | 0.1000 | | 4,625 |
|
77 | A*24:02-B*14:01-C*08:02-DRB1*04:08 | | Italy pop 5 | 0.1000 | | 975 |
|
78 | A*24:02-B*49:01-C*07:01-DRB1*04:08 | | Italy pop 5 | 0.1000 | | 975 |
|
79 | DRB1*04:08-DQB1*02:02 | | Italy pop 5 | 0.1000 | | 975 |
|
80 | A*11:01-B*35:03-C*12:03-DRB1*04:08 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0970 | | 1,028 |
|
81 | A*24:02-B*27:05-C*02:02-DRB1*04:08 | | Germany DKMS - Bosnia and Herzegovina minority | 0.0970 | | 1,028 |
|
82 | DRB1*04:08-DQB1*03:01 | | USA Hispanic pop 2 | 0.0930 | | 1,999 |
|
83 | A*11:01-B*35:08-DRB1*04:08 | | Israel Ashkenazi Jews pop 3 | 0.0927 | | 4,625 |
|
84 | A*03:01-B*14:01-C*08:02-DRB1*04:08 | | Germany DKMS - Spain minority | 0.0900 | | 1,107 |
|
85 | A*24:02-B*39:06-C*07:02-DRB1*04:08 | | Germany DKMS - Spain minority | 0.0900 | | 1,107 |
|
86 | A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04 | | Germany DKMS - Italy minority | 0.0860 | | 1,159 |
|
87 | A*31:01-B*18:01-C*07:01-DRB1*04:08 | | Germany DKMS - Portugal minority | 0.0850 | | 1,176 |
|
88 | A*32:01-B*14:01-C*15:05-DRB1*04:08 | | Germany DKMS - Portugal minority | 0.0850 | | 1,176 |
|
89 | A*01:03-B*51:01-DRB1*04:08 | | Israel Ethiopia Jews | 0.0803 | | 5,928 |
|
90 | A*31:01-B*51:01-DRB1*04:08 | | Israel Iran Jews | 0.0797 | | 8,153 |
|
91 | A*03:01-B*15:01-C*03:03-DRB1*04:08 | | Germany DKMS - Greece minority | 0.0790 | | 1,894 |
|
92 | A*02-B*56-DRB1*04:08-DQA1*03:01-DQB1*06:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
93 | A*24:02-B*35:03-C*12:03-DRB1*04:08 | | Germany DKMS - China minority | 0.0780 | | 1,282 |
|
94 | A*24-B*15-DRB1*04:08-DQA1*03:02-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
95 | A*24-B*44-DRB1*04:08-DQA1*03:01-DQB1*02:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
96 | A*11:01-B*35:03-C*12:03-DRB1*04:08 | | Germany DKMS - Croatia minority | 0.0730 | | 2,057 |
|
97 | A*11:01-B*35:01-DRB1*04:08 | | Israel Poland Jews | 0.0717 | | 13,871 |
|
98 | A*01:01-B*51:01-C*15:02-DRB1*04:08 | | Germany DKMS - France minority | 0.0710 | | 1,406 |
|
99 | A*11:01-B*35:03-C*12:03-DRB1*04:08 | | Germany DKMS - France minority | 0.0710 | | 1,406 |
|
100 | A*02:01-B*41:01-DRB1*04:08 | | Israel Ashkenazi Jews pop 3 | 0.0706 | | 4,625 |
|
* 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).