Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02:01:01-B*44:03:01-DRB1*07:01:01 | | Portugal North | 5.4000 | | 46 |
|
2 | A*01:01:01-B*44:03:01-DRB1*07:01:01 | | Portugal Center | 4.5000 | | 50 |
|
3 | A*02:01:01-B*44:03:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
4 | A*29:02-B*44:03:01-DRB1*07:01:01 | | Portugal North | 2.2000 | | 46 |
|
5 | A*01:01:01-B*44:03:01-DRB1*07:01:01 | | Portugal South | 2.0000 | | 49 |
|
6 | A*02:01:01-B*44:03:01-DRB1*07:01:01 | | Portugal Center | 2.0000 | | 50 |
|
7 | A*29:02-B*44:03:01-DRB1*07:01:01 | | Portugal South | 2.0000 | | 49 |
|
8 | A*29:02-B*44:03:01-DRB1*07:01:01 | | Madeira | 1.9000 | | 185 |
|
9 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 1.8600 | | 215 |
|
10 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 1.7647 | | 170 |
|
11 | A*01:01:01-B*44:03:01-DRB1*07:01:01 | | Cape Verde Southeastern Islands | 1.6000 | | 62 |
|
12 | A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
13 | A*23:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*17:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
14 | A*30:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*03:01:01-DPB1*105:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
15 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01 | | Brazil Rio de Janeiro Parda | 1.1765 | | 170 |
|
16 | A*33:01-B*44:03:01-DRB1*07:01:01 | | Portugal North | 1.1000 | | 46 |
|
17 | A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 1.0417 | | 192 |
|
18 | A*26:01-B*44:03:01-DRB1*07:01:01 | | Portugal South | 1.0000 | | 49 |
|
19 | A*29:02-B*44:03:01-DRB1*07:01:01 | | Portugal Center | 1.0000 | | 50 |
|
20 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.9727 | | 521 |
|
21 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.9373 | | 23,595 |
|
22 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.8220 | | 1,510 |
|
23 | A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.7812 | | 192 |
|
24 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01 | | Brazil Rio de Janeiro Caucasian | 0.7782 | | 521 |
|
25 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.6676 | | 23,595 |
|
26 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6270 | | 405 |
|
27 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6230 | | 405 |
|
28 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
29 | A*23:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*11:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
30 | A*33:01:01-B*44:03:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
31 | A*11:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.5750 | | 174 |
|
32 | A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*04:02:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
33 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
34 | A*23:01:01-B*44:03:01-C*07:02:01-DRB1*07:01:01-DQA1*01:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
35 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
36 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3423 | | 521 |
|
37 | A*02:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*13:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
38 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
39 | A*23:01:01-B*44:03:01-C*12:03:01-DRB1*07:01:01-DQA1*01:04:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
40 | A*25:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*10:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
41 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
42 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
43 | A*34:02:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
44 | A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.2980 | | 1,510 |
|
45 | A*03:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
46 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
47 | A*24:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:04:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
48 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.2858 | | 23,595 |
|
49 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
50 | A*68:01:02:02-B*44:03:01-C*03:03:01-DRB1*07:01:01:01-DQB1*04:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
51 | A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.2414 | | 521 |
|
52 | A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
53 | A*23:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
54 | A*31:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
55 | A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
56 | A*23:01:01-B*44:03:01-C*14:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
57 | A*23:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
58 | A*26:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
59 | A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.1195 | | 1,510 |
|
60 | A*03:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0975 | | 23,595 |
|
61 | A*24:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0961 | | 23,595 |
|
62 | A*01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0898 | | 23,595 |
|
63 | A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
64 | A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0825 | | 23,595 |
|
65 | A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0713 | | 23,595 |
|
66 | A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
67 | A*01:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0576 | | 1,510 |
|
68 | A*03:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0571 | | 1,510 |
|
69 | A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0562 | | 23,595 |
|
70 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0389 | | 23,595 |
|
71 | A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0389 | | 1,510 |
|
72 | A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DPB1*21:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0380 | | 5,266 |
|
73 | A*01:01:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
74 | A*02:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
75 | A*03:01:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
76 | A*23:01:01-B*44:03:01-C*07:04:01-DRB1*07:01:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
77 | A*24:02:01-B*44:03:01-C*01:02:01-DRB1*07:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
78 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
79 | A*26:01:01-B*44:03:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
80 | A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0282 | | 23,595 |
|
81 | A*01:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0280 | | 23,595 |
|
82 | A*31:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0237 | | 23,595 |
|
83 | A*24:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0234 | | 23,595 |
|
84 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DPB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0190 | | 5,266 |
|
85 | A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0186 | | 5,266 |
|
86 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0168 | | 23,595 |
|
87 | A*26:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0145 | | 23,595 |
|
88 | A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0140 | | 23,595 |
|
89 | A*03:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0127 | | 23,595 |
|
90 | A*02:01:01-B*44:03:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0127 | | 23,595 |
|
91 | A*74:03-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0127 | | 23,595 |
|
92 | A*11:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0072 | | 23,595 |
|
93 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01 | | Poland BMR | 0.0066 | | 23,595 |
|
94 | A*31:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0066 | | 23,595 |
|
95 | A*03:01:01-B*44:03:01-C*04:77-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0064 | | 23,595 |
|
96 | A*68:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0062 | | 23,595 |
|
97 | A*11:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0054 | | 5,266 |
|
98 | A*30:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0048 | | 23,595 |
|
99 | A*24:02:01-B*44:03:01-C*03:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0044 | | 23,595 |
|
100 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01 | | Poland BMR | 0.0043 | | 23,595 |
|
* 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).