Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 3.6238 | | 192 |
|
2 | A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 3.3333 | | 120 |
|
3 | A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 3.3333 | | 120 |
|
4 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 3.1109 | | 1,734 |
|
5 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 1.7759 | | 23,595 |
|
6 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 1.6340 | | 153 |
|
7 | A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Kosovo | 1.6130 | | 124 |
|
8 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 1.6000 | | 975 |
|
9 | A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 1.5749 | | 1,510 |
|
10 | A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Puyanawa | 1.3333 | | 150 |
|
11 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 1.0753 | | 186 |
|
12 | A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 1.0564 | | 1,510 |
|
13 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | USA San Diego | 1.0420 | | 496 |
|
14 | A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Poland | 1.0000 | | 200 |
|
15 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.9300 | | 215 |
|
16 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo pop 2 | 0.8600 | | 234 |
|
17 | B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo pop 2 | 0.8600 | | 234 |
|
18 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.8598 | | 23,595 |
|
19 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.8583 | | 5,829 |
|
20 | A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.8333 | | 120 |
|
21 | A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.8333 | | 120 |
|
22 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.8280 | | 11,446 |
|
23 | A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01 | | USA San Diego | 0.7810 | | 496 |
|
24 | B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo population | 0.6993 | | 143 |
|
25 | A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.6910 | | 23,595 |
|
26 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Brazil Puyanawa | 0.6667 | | 150 |
|
27 | A*30:10-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*02:01 | | Tanzania Maasai | 0.6390 | | 336 |
|
28 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.6160 | | 4,335 |
|
29 | A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 0.5900 | | 975 |
|
30 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.5376 | | 186 |
|
31 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.5201 | | 2,403 |
|
32 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.5059 | | 5,849 |
|
33 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
34 | A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.4614 | | 1,510 |
|
35 | A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 0.4600 | | 975 |
|
36 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | Nicaragua Managua | 0.4329 | | 339 |
|
37 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
38 | A*01:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
39 | A*24:02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
40 | A*24:02:13-B*13:02:01-C*06:02:01:02-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
41 | A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
42 | A*31:01:02:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
43 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.3673 | | 4,204 |
|
44 | A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
45 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
46 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
47 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
48 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*14:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
49 | A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.3080 | | 4,335 |
|
50 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | South Africa Worcester | 0.3000 | | 159 |
|
51 | A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
52 | A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2824 | | 192 |
|
53 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
54 | A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
55 | A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
56 | A*01:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | USA San Diego | 0.2600 | | 496 |
|
57 | A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.2529 | | 23,595 |
|
58 | A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
59 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01 | | Mexico Chiapas Lacandon Mayans | 0.2294 | | 218 |
|
60 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Malay | 0.2103 | | 951 |
|
61 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.1973 | | 23,595 |
|
62 | A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.1960 | | 1,734 |
|
63 | A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
64 | A*01:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.1831 | | 1,510 |
|
65 | A*26:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 0.1400 | | 975 |
|
66 | A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
67 | A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.1040 | | 2,403 |
|
68 | A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
69 | A*03:02-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01 | | Japan pop 17 | 0.1000 | | 3,078 |
|
70 | A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0978 | | 1,734 |
|
71 | A*33:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
72 | A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0837 | | 11,446 |
|
73 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0823 | | 1,734 |
|
74 | A*03:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0727 | | 1,510 |
|
75 | A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*14:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
76 | A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
77 | A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
78 | A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
79 | A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
80 | A*24:02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
81 | A*68:01:02:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
82 | A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0659 | | 11,446 |
|
83 | A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0626 | | 2,403 |
|
84 | A*02:07:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0592 | | 1,734 |
|
85 | A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0569 | | 1,734 |
|
86 | A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0554 | | 1,510 |
|
87 | A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0541 | | 23,595 |
|
88 | A*23:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0475 | | 23,595 |
|
89 | A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0471 | | 11,446 |
|
90 | A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0465 | | 4,204 |
|
91 | A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0458 | | 11,446 |
|
92 | A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0425 | | 5,829 |
|
93 | A*68:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0417 | | 23,595 |
|
94 | A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0416 | | 2,403 |
|
95 | A*32:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0411 | | 23,595 |
|
96 | A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0410 | | 4,204 |
|
97 | A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0404 | | 5,849 |
|
98 | A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0357 | | 4,204 |
|
99 | A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0342 | | 5,849 |
|
100 | A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
* 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).