Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*48-DRB1*09:01-DQB1*03:03 | | Bolivia Quechua | 2.1000 | | 69 |
|
2 | A*02-B*48-DRB1*09:01-DQB1*03:03 | | Bolivia La Paz Aymaras | 1.6880 | | 87 |
|
3 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Andes Mixed Ancestry | 1.3956 | | 824 |
|
4 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Coahuila Rural | 1.3761 | | 216 |
|
5 | A*32-B*48-DRB1*09-DQA1*03-DQB1*03:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 1.3400 | | 112 |
|
6 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Mixed Ancestry | 1.0656 | | 1,173 |
|
7 | A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03 | | Brazil Puyanawa | 1.0000 | | 150 |
|
8 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Durango, Durango city | 0.6452 | | 153 |
|
9 | A*02-B*48-DRB1*09-DQA1*03-DQB1*03:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
10 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Coast Mixed Ancestry | 0.4202 | | 238 |
|
11 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Chihuahua Rural | 0.4184 | | 236 |
|
12 | A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01-DQB1*03:03:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
13 | A*02:01-B*48:01-DRB1*09:01-DQB1*03:03 | | Peru Titikaka Lake Uros | 0.4000 | | 105 |
|
14 | A*31:01-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03 | | Brazil Puyanawa | 0.3333 | | 150 |
|
15 | A*24-B*48-DRB1*09-DQB1*03:03 | | Ecuador Andes Mixed Ancestry | 0.3034 | | 824 |
|
16 | A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
17 | A*26:01:01-B*48:01:01-C*07:01:01-DRB1*09:01-DQB1*03:03:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
18 | A*24-B*48-DRB1*09-DQB1*03:03 | | Ecuador Mixed Ancestry | 0.2131 | | 1,173 |
|
19 | A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | USA NMDP Hawaiian or other Pacific Islander | 0.2095 | | 11,499 |
|
20 | A*68:01-B*48:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
21 | A*68-B*48-DRB1*09-DQB1*03:03 | | Mexico Zacatecas Rural | 0.1859 | | 266 |
|
22 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Durango Rural | 0.1529 | | 326 |
|
23 | A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.1330 | | 1,772 |
|
24 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
25 | A*02:06-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03-DPB1*02:01 | | Russia Karelia | 0.1129 | | 1,075 |
|
26 | A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0890 | | 1,772 |
|
27 | A*34-B*48-DRB1*09:01-DQA1*03:02-DQB1*03:03 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
28 | A*68-B*48-DRB1*09:01-DQA1*01:02-DQB1*03:03 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
29 | A*24:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
30 | A*31:01-B*48:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
31 | A*01:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
32 | A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
33 | A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
34 | A*02:06:01-B*48:01:01-C*08:22:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
35 | A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India North UCBB | 0.0492 | | 5,849 |
|
36 | A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
37 | A*31:01-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
38 | A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India East UCBB | 0.0416 | | 2,403 |
|
39 | A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India Central UCBB | 0.0357 | | 4,204 |
|
40 | A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
41 | A*24:02:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.0335 | | 1,734 |
|
42 | A*02:01:01:01-B*48:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
43 | A*03:01:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
44 | A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
45 | A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
46 | A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
47 | A*24:02-B*48:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
48 | A*24:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
49 | A*24:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
50 | A*26:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
51 | A*26:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
52 | A*26:03-B*48:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
53 | A*31:01-B*48:01-C*03:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
54 | A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
55 | A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
56 | A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
57 | A*03:01:01-B*48:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
58 | A*31:01:02-B*48:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
59 | A*02:07:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.0241 | | 1,734 |
|
60 | A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | Germany DKMS - Turkey minority | 0.0210 | | 4,856 |
|
61 | A*01:01-B*48:01-C*15:04-DRB1*09:01-DQB1*03:03 | | India East UCBB | 0.0208 | | 2,403 |
|
62 | A*11:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
63 | A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India North UCBB | 0.0178 | | 5,849 |
|
64 | A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India West UCBB | 0.0172 | | 5,829 |
|
65 | A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India West UCBB | 0.0172 | | 5,829 |
|
66 | A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India West UCBB | 0.0172 | | 5,829 |
|
67 | A*01:01-B*48:01-C*08:22-DRB1*09:01-DQB1*03:03 | | India Central UCBB | 0.0119 | | 4,204 |
|
68 | A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India Central UCBB | 0.0119 | | 4,204 |
|
69 | A*02:11-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | India Central UCBB | 0.0119 | | 4,204 |
|
70 | A*32:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India Central UCBB | 0.0119 | | 4,204 |
|
71 | A*02:01-B*48:01-C*03:04-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
72 | A*03:01-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
73 | A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India North UCBB | 0.0110 | | 5,849 |
|
74 | A*24:02-B*48:01-C*03:04-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
75 | A*26:02-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
76 | A*01:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India North UCBB | 0.0085 | | 5,849 |
|
77 | A*24:02-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | India North UCBB | 0.0085 | | 5,849 |
|
78 | A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India North UCBB | 0.0074 | | 5,849 |
|
79 | A*31:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0053 | | 11,446 |
|
80 | A*02:01-B*48:01-C*07:02-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
81 | A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
82 | A*03:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
83 | A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
84 | A*30:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
85 | A*69:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0044 | | 11,446 |
|
86 | A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0043 | | 11,446 |
|
87 | A*02:11-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India South UCBB | 0.0035 | | 11,446 |
|
88 | A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
89 | A*02:06:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 23,595 |
|
90 | A*03:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Poland BMR | 0.0021 | | 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).