Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*11:01:01-B*44:02:01-DRB1*13:01:01 | | Portugal South | 2.0000 | | 49 |
|
2 | A*02:01:01-B*44:02:01-DRB1*13:01:01 | | Madeira | 1.6000 | | 185 |
|
3 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
4 | A*02:01:01-B*44:02:01-DRB1*13:01:01 | | Portugal South | 1.0000 | | 49 |
|
5 | A*11:01:01-B*44:02:01-DRB1*13:01:01 | | Portugal Center | 1.0000 | | 50 |
|
6 | A*29:02-B*44:02:01-DRB1*13:01:01 | | Portugal South | 1.0000 | | 49 |
|
7 | A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.7782 | | 521 |
|
8 | A*02:01:01-B*44:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
9 | A*23:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
10 | A*26:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
11 | A*02:01:01:01-B*44:02:01-C*17:03-DRB1*13:01:01-DQB1*03:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
12 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.4010 | | 23,595 |
|
13 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
14 | A*25:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
15 | A*32:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
16 | A*68:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
17 | A*31:01:02-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
18 | A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.2780 | | 1,510 |
|
19 | A*01:01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
20 | A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
21 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
22 | A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
23 | A*33:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
24 | A*34:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
25 | A*80:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
26 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
27 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
28 | A*03:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
29 | A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0670 | | 1,510 |
|
30 | A*02:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
31 | A*02:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
32 | A*03:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
33 | A*25:01:01-B*44:02:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
34 | A*31:01:02:01-B*44:02:01:01-C*05:01:01:02-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
35 | A*32:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
36 | A*26:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0302 | | 23,595 |
|
37 | A*32:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0297 | | 23,595 |
|
38 | A*01:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0290 | | 1,510 |
|
39 | A*24:02:01-B*44:02:01-C*16:04:01-DRB1*13:01:01-DQB1*06:03:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
40 | A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0242 | | 23,595 |
|
41 | A*03:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0190 | | 5,266 |
|
42 | A*02:01:01-B*44:02:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0189 | | 23,595 |
|
43 | A*01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0168 | | 23,595 |
|
44 | A*25:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0163 | | 23,595 |
|
45 | A*11:01:01-B*44:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0142 | | 23,595 |
|
46 | A*11:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0130 | | 23,595 |
|
47 | A*11:01:01-B*44:02:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0122 | | 23,595 |
|
48 | A*31:01:02-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0117 | | 23,595 |
|
49 | A*29:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0086 | | 23,595 |
|
50 | A*24:02:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DPB1*01:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0082 | | 5,266 |
|
51 | A*68:01:02-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0081 | | 23,595 |
|
52 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0067 | | 5,266 |
|
53 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DPB1*702:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0057 | | 5,266 |
|
54 | A*03:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0053 | | 23,595 |
|
55 | A*02:01:01-B*44:02:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0050 | | 23,595 |
|
56 | A*25:01:01-B*44:02:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0048 | | 23,595 |
|
57 | A*02:06:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0046 | | 23,595 |
|
58 | A*29:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*02:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
59 | A*11:01:01-B*44:02:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0031 | | 23,595 |
|
60 | A*02:17:02-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0031 | | 23,595 |
|
61 | A*02:01:01-B*44:02:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0027 | | 23,595 |
|
62 | A*68:01:02-B*44:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0025 | | 23,595 |
|
63 | A*68:01:02-B*44:02:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0022 | | 23,595 |
|
64 | A*01:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
65 | A*02:01:01-B*44:02:01-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
66 | A*03:01:01-B*44:02:01-C*03:03:01-DRB1*13:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
67 | A*24:02:01-B*44:02:01-C*05:32-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
68 | A*68:01:02-B*44:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0006616 | | 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).