Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*23:01:01-B*15:03:01-C*02:10-DRB1*13:05:01 | | Costa Rica Guanacaste Mestizo (G) | 1.3636 | | 110 |
|
2 | A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
3 | A*02:01:01-B*08:01:01-C*07:01:01-DRB1*13:05:01 | | Costa Rica Guanacaste Mestizo (G) | 0.4545 | | 110 |
|
4 | A*23:01:01-B*41:01-C*07:01:01-DRB1*13:05:01 | | Costa Rica Guanacaste Mestizo (G) | 0.4545 | | 110 |
|
5 | A*02:05:01-B*41:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.4525 | | 221 |
|
6 | A*31:01:02-B*37:01:01-C*06:02:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
7 | A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:05:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
8 | A*02:01:01-B*41:02:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
9 | A*02:05-B*50:01-C*06:02-DRB1*13:05:01-DQB1*03:01 | | England North West | 0.3000 | | 298 |
|
10 | A*23:01:01-B*41:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
11 | A*68:30-B*41:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
12 | A*02:01:01-B*50:02-C*06:02:01-DRB1*13:05:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
13 | A*02:05:01-B*35:03:01-C*04:01:01-DRB1*13:05:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
14 | A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
15 | A*24:02:02-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
16 | A*24:03:01-B*38:01:01-C*07:01:01-DRB1*13:05:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
17 | A*74:01:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
18 | A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
19 | A*01:01:01:01-B*39:06:02-C*12:03:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
20 | A*01:01:01:01-B*40:02:01-C*15:02:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
21 | A*01:01:01:01-B*58:01:01-C*07:18-DRB1*13:05:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
22 | A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
23 | A*31:01:02:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
24 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
25 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0202 | | 23,595 |
|
26 | A*02:05:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0106 | | 23,595 |
|
27 | A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0101 | | 23,595 |
|
28 | A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0048 | | 23,595 |
|
29 | A*25:01:01-B*07:05:01-C*15:05:02-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
30 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0040 | | 23,595 |
|
31 | A*02:01:01-B*27:02:01-C*02:02:02-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0027 | | 23,595 |
|
32 | A*02:01:01-B*57:01:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0022 | | 23,595 |
|
33 | A*01:01:01-B*07:02:01-C*07:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
34 | A*24:02:01-B*13:02:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
35 | A*01:01:01-B*57:01:01-C*06:02:01-DRB1*13:05:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
36 | A*01:01:01-B*35:03:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
37 | A*02:01:01-B*15:07:01-C*03:03:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
38 | A*02:01:01-B*27:02:01-C*02:02:02-DRB1*13:05:01-DQB1*04:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
39 | A*02:01:01-B*39:01:01-C*12:03:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
40 | A*02:05:01-B*41:01:01-C*07:01:01-DRB1*13:05:01-DQB1*04:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
41 | A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
42 | A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:05:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
43 | A*03:01:01-B*51:01:01-C*15:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
44 | A*24:02:01-B*27:02:01-C*02:02:02-DRB1*13:05:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
45 | A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
46 | A*24:02:01-B*51:08:01-C*15:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
47 | A*25:01:01-B*07:05:01-C*15:05:02-DRB1*13:05:01-DQB1*04:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
48 | A*29:02:01-B*57:01:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
49 | A*24:02:01-B*27:02:01-C*02:02:02-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0016 | | 23,595 |
|
50 | A*03:01:01-B*35:01:01-C*03:04:01-DRB1*13:05:01-DQB1*03:01:01 | | Poland BMR | 0.0011 | | 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).