Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*68:02-B*44:02-DRB1*07:01-DQB1*02:02 | | Tunisia Gabes | 1.5700 | | 95 |
|
2 | A*69:01-B*44:02-DRB1*07:01-DQB1*02:02 | | Tunisia Gabes | 1.5700 | | 95 |
|
3 | A*02:01-B*44:02-DRB1*07:01-DQB1*02:02 | | USA South Dakota Lakota Sioux | 1.4000 | | 302 |
|
4 | A*29:01-B*44:02-DRB1*07:01-DQB1*02:02 | | Mexico Chihuahua Chihuahua City Pop 2 | 1.1364 | | 88 |
|
5 | A*03:01-B*44:02-C*05:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02 | | Portugal Azores Terceira Island | 0.8772 | | 130 |
|
6 | A*02:01:01-B*44:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
7 | A*02:01-B*44:02-DRB1*07:01-DQB1*02:02 | | Mexico Chihuahua Chihuahua City Pop 2 | 0.5682 | | 88 |
|
8 | A*03:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
9 | A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.4100 | | 4,335 |
|
10 | A*26:01-B*44:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Tlalpan | 0.3030 | | 330 |
|
11 | A*29:01-B*44:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Tlalpan | 0.3030 | | 330 |
|
12 | A*24:02:01:01-B*44:02:01:01-C*16:04:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
13 | A*25:01-B*44:02-C*05:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01 | | USA San Diego | 0.2600 | | 496 |
|
14 | A*02:01:01-B*44:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
15 | A*25:01:01-B*44:02:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
16 | A*68:01:02-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
17 | A*03:01-B*44:02-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*02:01 | | Panama | 0.1900 | | 462 |
|
18 | A*01:01-B*44:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
19 | A*24:02-B*44:02-DRB1*07:01-DQB1*02:02 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
20 | A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 0.1400 | | 975 |
|
21 | A*03:01-B*44:02-C*04:01-DRB1*07:01-DQB1*02:02 | | Italy pop 5 | 0.1400 | | 975 |
|
22 | A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.1058 | | 1,510 |
|
23 | A*02:01-B*44:02-C*07:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
24 | A*24:02-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
25 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0526 | | 23,595 |
|
26 | A*02:01-B*44:02-C*05:09-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
27 | A*26:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
28 | A*68:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
29 | A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0263 | | 5,849 |
|
30 | A*01:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0208 | | 2,403 |
|
31 | A*03:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:02 | | India East UCBB | 0.0208 | | 2,403 |
|
32 | A*11:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0140 | | 5,849 |
|
33 | A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0126 | | 5,829 |
|
34 | A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
35 | A*11:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
36 | A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
37 | A*26:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0111 | | 23,595 |
|
38 | A*68:01:02-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0109 | | 23,595 |
|
39 | A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0092 | | 5,849 |
|
40 | A*30:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0085 | | 23,595 |
|
41 | A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0063 | | 23,595 |
|
42 | A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0062 | | 11,446 |
|
43 | A*24:02:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0046 | | 23,595 |
|
44 | A*31:01:02-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0041 | | 23,595 |
|
45 | A*02:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0030 | | 23,595 |
|
46 | A*25:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
47 | A*29:02:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0022 | | 23,595 |
|
48 | A*01:01:01-B*44:02:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0016 | | 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).