Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | 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 |
|
2 | 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 |
|
3 | A*01:01-B*48:01-C*08:01-DRB1*09:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
4 | A*01:01-B*48:01-C*08:22-DRB1*09:01-DQB1*03:03 | | India UCBB_Central Indian HLA | 0.0119 | | 4,204 |
|
5 | A*01:01-B*48:01-DRB1*09:01 | | Israel USSR Jews | 0.0052 | | 45,681 |
|
6 | A*01:17-B*48:01-DRB1*09:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
7 | A*01:36-B*48:01-DRB1*09:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
8 | A*01-B*48-C*08-DRB1*09-DQB1*03-DPB1*04 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
9 | A*01-B*48-DRB1*09 | | Brazil South Ribeirao Preto | 0.3000 | | 184 |
|
10 | A*01-B*48-DRB1*09 | | Brazil Para State | 0.0226 | | 5,000 |
|
11 | 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 |
|
12 | 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 |
|
13 | A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0081 | | 5,266 |
|
14 | 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 |
|
15 | 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 |
|
16 | 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 |
|
17 | A*02:01-B*48:01-C*03:03-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0039 | | 7,595 |
|
18 | A*02:01-B*48:01-C*03:03-DRB1*09:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
19 | A*02:01-B*48:01-C*03:04-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
20 | A*02:01-B*48:01-C*08:01-DRB1*09:01 | | Germany DKMS - China minority | 0.1160 | | 1,282 |
|
21 | 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 |
|
22 | A*02:01-B*48:01-C*08:03-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0233 | | 7,595 |
|
23 | A*02:01-B*48:01-C*08:03-DRB1*09:01 | | Japan pop 16 | 0.0310 | | 18,604 |
|
24 | A*02:01-B*48:01-C*08:03-DRB1*09:01 | | Poland DKMS | 0.0141 | | 20,653 |
|
25 | A*02:01-B*48:01-DRB1*09:01 | | Israel USSR Jews | 0.0154 | | 45,681 |
|
26 | A*02:01-B*48:01-DRB1*09:01 | | Israel Argentina Jews | 0.0605 | | 4,307 |
|
27 | A*02:01-B*48:01-DRB1*09:01-DQB1*03:02 | | Peru Titikaka Lake Uros | 1.4300 | | 105 |
|
28 | A*02:01-B*48:01-DRB1*09:01-DQB1*03:03 | | Peru Titikaka Lake Uros | 0.4000 | | 105 |
|
29 | A*02:03:01-B*48:01:01-C*08:22-DRB1*09:01:02-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0189 | | 5,266 |
|
30 | A*02:03-B*48:01-C*08:01-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0069 | | 7,595 |
|
31 | A*02:03-B*48:03-C*08:01-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0053 | | 7,595 |
|
32 | 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 |
|
33 | A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*05:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
34 | 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 |
|
35 | A*02:06:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DQB1*05:04 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
36 | 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 |
|
37 | A*02:06:01-B*48:03:01-C*08:01:01-DRB1*09:01:02-DPB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0064 | | 5,266 |
|
38 | A*02:06:01-B*48:03:01-C*08:01:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0370 | | 5,266 |
|
39 | A*02:06-B*48:01-C*03:03-DRB1*09:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
40 | A*02:06-B*48:01-C*08:01-DRB1*09:01 | | Germany DKMS - China minority | 0.0780 | | 1,282 |
|
41 | A*02:06-B*48:01-C*08:01-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0160 | | 7,595 |
|
42 | A*02:06-B*48:01-C*08:01-DRB1*09:01 | | Japan pop 16 | 0.0370 | | 18,604 |
|
43 | A*02:06-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | India UCBB_Central Indian HLA | 0.0119 | | 4,204 |
|
44 | A*02:06-B*48:01-C*08:03-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0056 | | 7,595 |
|
45 | A*02:06-B*48:01-C*08:03-DRB1*09:01 | | Japan pop 16 | 0.0160 | | 18,604 |
|
46 | A*02:06-B*48:01-C*08:03-DRB1*09:01 | | Poland DKMS | 0.0023 | | 20,653 |
|
47 | A*02:06-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03-DPB1*02:01 | | Russia Karelia | 0.1129 | | 1,075 |
|
48 | A*02:06-B*48:01-DRB1*09:01 | | Hong Kong Chinese cord blood registry | 0.0198 | | 3,892 |
|
49 | A*02:06-B*48:01-DRB1*09:01 | | Israel USSR Jews | 0.0044 | | 45,681 |
|
50 | 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 |
|
51 | A*02:11-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | India UCBB_Central Indian HLA | 0.0119 | | 4,204 |
|
52 | A*02:11-B*48:02-C*04:01-DRB1*09:01 | | Germany DKMS - Spain minority | 0.0450 | | 1,107 |
|
53 | A*02:11-B*48:02-DRB1*09:01 | | Israel Argentina Jews | 0.0116 | | 4,307 |
|
54 | A*02-B*48-C*08:03-DRB1*09:01-DQB1*03 | | Russia Transbaikal Territory Buryats | 0.6670 | | 150 |
|
55 | A*02-B*48-DRB1*09 | | Brazil Para State | 0.5421 | | 5,000 |
|
56 | A*02-B*48-DRB1*09 | | Brazil South Ribeirao Preto | 0.3000 | | 184 |
|
57 | A*02-B*48-DRB1*09 | | Brazil Para Cord Blood Unit | 1.2993 | | 841 |
|
58 | A*02-B*48-DRB1*09 | | Brazil South East Cord Blood | 0.2170 | | 11,409 |
|
59 | A*02-B*48-DRB1*09 | | China Shaanxi Province Han | 0.3000 | | 10,000 |
|
60 | A*02-B*48-DRB1*09:01-DQA1*03:01-DQB1*03:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
61 | A*02-B*48-DRB1*09:01-DQB1*03:02 | | Bolivia La Paz Aymaras | 1.1490 | | 87 |
|
62 | A*02-B*48-DRB1*09:01-DQB1*03:03 | | Bolivia La Paz Aymaras | 1.6880 | | 87 |
|
63 | A*02-B*48-DRB1*09:01-DQB1*03:03 | | Bolivia Quechua | 2.1000 | | 69 |
|
64 | A*02-B*48-DRB1*09-DQA1*03-DQB1*03:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
65 | A*02-B*48-DRB1*09-DQB1*02 | | Mexico Puebla Rural | 0.0600 | | 833 |
|
66 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Coast Mixed Ancestry | 0.4202 | | 238 |
|
67 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Andes Mixed Ancestry | 1.3956 | | 824 |
|
68 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Mixed Ancestry | 1.0656 | | 1,173 |
|
69 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Chihuahua Rural | 0.4184 | | 236 |
|
70 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Durango Rural | 0.1529 | | 326 |
|
71 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Coahuila Rural | 1.3761 | | 216 |
|
72 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Durango, Durango city | 0.6452 | | 153 |
|
73 | A*02-B*48-DRB1*09-DQB1*05 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
74 | 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 |
|
75 | 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 |
|
76 | 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 |
|
77 | A*03:01-B*48:01-C*04:01-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
78 | A*11:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0063 | | 5,266 |
|
79 | A*11:01:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0061 | | 5,266 |
|
80 | A*11:01:01-B*48:01:01-C*08:03:01-DRB1*09:01:02-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0117 | | 5,266 |
|
81 | A*11:01-B*48:01-C*08:01-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0369 | | 7,595 |
|
82 | A*11:01-B*48:01-C*08:01-DRB1*09:01 | | Japan pop 16 | 0.1250 | | 18,604 |
|
83 | 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 |
|
84 | 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 |
|
85 | 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 |
|
86 | A*11:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.1330 | | 1,772 |
|
87 | A*11:01-B*48:01-C*08:03-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0251 | | 7,595 |
|
88 | A*11:01-B*48:01-C*08:03-DRB1*09:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
89 | A*11:01-B*48:01-C*08:03-DRB1*09:01 | | Poland DKMS | 0.0004000 | | 20,653 |
|
90 | A*11:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
91 | A*11:01-B*48:01-DRB1*09:01 | | Hong Kong Chinese cord blood registry | 0.0694 | | 3,892 |
|
92 | A*11:01-B*48:03-DRB1*09:01 | | Hong Kong Chinese cord blood registry | 0.0107 | | 3,892 |
|
93 | A*11:02-B*48:01-C*08:03-DRB1*09:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
94 | A*11:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
95 | 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 |
|
96 | 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 |
|
97 | A*24:02:01-B*48:01:01-C*08:22-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0393 | | 5,266 |
|
98 | A*24:02:01-B*48:01:01-C*08:22-DRB1*09:01:02-DPB1*135:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0643 | | 5,266 |
|
99 | A*24:02-B*48:01-C*03:03-DRB1*09:01 | | Japan pop 16 | 0.0210 | | 18,604 |
|
100 | 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 |
|
* 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).