Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24:02-B*56:04-DRB1*16:02 | | Malaysia Pahang Semai | 5.2600 | | 38 |
|
2 | A*02:01-B*56:01-C*04:01-DRB1*16:02-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
3 | B*56:01-C*04:01-DRB1*16:02-DQB1*03:01 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
4 | A*03:01-B*56:01-C*01:02-DRB1*16:02:01-DQB1*05:02:01 | | England North West | 0.2000 | | 298 |
|
5 | A*02-B*56-C*01-DRB1*16 | | Macedonia | 0.1748 | | 286 |
|
6 | A*02-B*56-DRB1*16 | | Macedonia | 0.1748 | | 286 |
|
7 | B*56-DRB1*16 | | Macedonia | 0.1748 | | 286 |
|
8 | A*24:02-B*56:01-DRB1*16:01 | | Israel Morocco Jews | 0.1530 | | 36,718 |
|
9 | A*24-B*56-C*01-DRB1*16 | | Macedonia MBMDR - Macedonian | 0.1204 | | 1,283 |
|
10 | A*68-B*56-DRB1*16:01 | | Chile Santiago | 0.1087 | | 920 |
|
11 | A*02-B*56-DRB1*16-DQB1*03:01 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
12 | A*24-B*56-DRB1*16:01-DQA1*01:02-DQB1*05:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
13 | A*68-B*56-DRB1*16 | | Iran pop 4 | 0.0700 | | 855 |
|
14 | A*02:05-B*56:01-C*01:02-DRB1*16:01-DQB1*05:02 | | Germany DKMS - Italy minority | 0.0550 | | 1,159 |
|
15 | A*24:07-B*56:06-C*04:01-DRB1*16:02-DQB1*05:02 | | Malaysia Peninsular Malay | 0.0526 | | 951 |
|
16 | A*26:01-B*56:01-DRB1*16:01 | | Israel Poland Jews | 0.0433 | | 13,871 |
|
17 | A*26:01-B*56:01-DRB1*16:01 | | Israel Argentina Jews | 0.0348 | | 4,307 |
|
18 | A*26:01-B*56:01-DRB1*16:02 | | Israel Argentina Jews | 0.0348 | | 4,307 |
|
19 | A*03:01:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
20 | A*26-B*56-C*01-DRB1*16-DQA1*01-DQB1*05 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
21 | A*26:01-B*56:01-DRB1*16:02 | | Israel Poland Jews | 0.0321 | | 13,871 |
|
22 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*16:02:01-DQB1*05:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
23 | A*02:01-B*56:01-C*01:02-DRB1*16:01 | | Germany DKMS - Croatia minority | 0.0260 | | 2,057 |
|
24 | A*02:01-B*56:01-C*01:02-DRB1*16:01 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
25 | A*02:05-B*56:01-C*01:02-DRB1*16:01 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
26 | A*68:01-B*56:01-C*01:02-DRB1*16:02 | | Germany DKMS - Greece minority | 0.0260 | | 1,894 |
|
27 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0256 | | 23,595 |
|
28 | A*26:01-B*56:01-DRB1*16:02 | | Israel USA Jews | 0.0248 | | 6,058 |
|
29 | A*26:01-B*56:01-C*01:02-DRB1*16:01 | | Poland DKMS | 0.0212 | | 20,653 |
|
30 | A*26:01-B*56:01-DRB1*16:01 | | Israel USSR Jews | 0.0203 | | 45,681 |
|
31 | A*11:01-B*56:01-DRB1*16:02 | | Hong Kong Chinese cord blood registry | 0.0189 | | 3,892 |
|
32 | A*26:01-B*56:01-DRB1*16:01 | | Israel USA Jews | 0.0175 | | 6,058 |
|
33 | A*11:01-B*56:04-DRB1*16:02 | | Hong Kong Chinese cord blood registry | 0.0166 | | 3,892 |
|
34 | A*02-B*56-DRB1*16 | | Brazil South East Cord Blood | 0.0140 | | 11,409 |
|
35 | A*02:01-B*56:02-C*01:02-DRB1*16:02 | | Hong Kong Chinese BMDR | 0.0132 | | 7,595 |
|
36 | A*02:01-B*56:01-DRB1*16:02 | | Hong Kong Chinese cord blood registry | 0.0127 | | 3,892 |
|
37 | A*02:01-B*56:01-C*01:02-DRB1*16:02-DQB1*05:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
38 | A*24:02-B*56:01-C*01:02-DRB1*16:02-DQB1*05:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
39 | A*11:01-B*56:01-C*01:02-DRB1*16:02-DQB1*02:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
40 | A*68:01-B*56:01-C*01:02-DRB1*16:02-DQB1*06:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
41 | A*01:01-B*56:01-DRB1*16:01 | | Israel Argentina Jews | 0.0116 | | 4,307 |
|
42 | A*68:01-B*56:01-DRB1*16:01 | | Israel Georgia Jews | 0.0112 | | 4,471 |
|
43 | A*03:02-B*56:01-DRB1*16:01 | | Israel Ashkenazi Jews pop 3 | 0.0108 | | 4,625 |
|
44 | A*66:01-B*56:01-DRB1*16:01 | | Israel Ashkenazi Jews pop 3 | 0.0108 | | 4,625 |
|
45 | A*01:01-B*56:01-DRB1*16:01 | | Israel Arab pop 2 | 0.0101 | | 12,301 |
|
46 | A*68-B*56-DRB1*16 | | Brazil Para State | 0.0100 | | 5,000 |
|
47 | A*24:04-B*56:01-DRB1*16:01 | | Israel Morocco Jews | 0.0095 | | 36,718 |
|
48 | A*24:03-B*56:04-C*01:02-DRB1*16:02 | | Hong Kong Chinese BMDR | 0.0091 | | 7,595 |
|
49 | A*11:01-B*56:03-DRB1*16:02 | | Hong Kong Chinese cord blood registry | 0.0089 | | 3,892 |
|
50 | A*11:02:01-B*56:01:01-C*04:03:01-DRB1*16:02:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0089 | | 5,266 |
|
51 | A*11:01-B*56:01-DRB1*16:01 | | Israel Kavkazi Jews | 0.0088 | | 2,840 |
|
52 | A*11:01-B*56:01-DRB1*16:02 | | Israel Kavkazi Jews | 0.0088 | | 2,840 |
|
53 | A*24:02-B*56:03-DRB1*16:02 | | Hong Kong Chinese cord blood registry | 0.0086 | | 3,892 |
|
54 | A*24:02-B*56:01-C*01:02-DRB1*16:02-DQB1*03:05 | | India North UCBB | 0.0085 | | 5,849 |
|
55 | A*32:01-B*56:01-DRB1*16:01 | | Israel USA Jews | 0.0083 | | 6,058 |
|
56 | A*26:01-B*56:01-DRB1*16:02 | | Israel USSR Jews | 0.0077 | | 45,681 |
|
57 | A*29:01-B*56:01-DRB1*16:02 | | Israel Poland Jews | 0.0072 | | 13,871 |
|
58 | A*24:03-B*56:02-DRB1*16:02 | | Hong Kong Chinese cord blood registry | 0.0069 | | 3,892 |
|
59 | A*01:01-B*56:01-DRB1*16:01 | | Israel USA Jews | 0.0066 | | 6,058 |
|
60 | A*02:03:01-B*56:04:01-C*01:02:01-DRB1*16:02:01-DPB1*135:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0061 | | 5,266 |
|
61 | A*24:02-B*56:01-DRB1*16:02 | | Israel Tunisia Jews | 0.0057 | | 9,070 |
|
62 | A*01:01-B*56:01-C*01:02-DRB1*16:01 | | Poland DKMS | 0.0057 | | 20,653 |
|
63 | A*66:01-B*56:01-DRB1*16:01 | | Israel Morocco Jews | 0.0055 | | 36,718 |
|
64 | A*24:02-B*56:01-DRB1*16:02 | | Israel Ashkenazi Jews pop 3 | 0.0054 | | 4,625 |
|
65 | A*34:02-B*56:01-DRB1*16:02 | | Israel Tunisia Jews | 0.0053 | | 9,070 |
|
66 | A*26-B*56-DRB1*16 | | Brazil South East Cord Blood | 0.0050 | | 11,409 |
|
67 | A*24:07-B*56:01-DRB1*16:01 | | Israel Morocco Jews | 0.0040 | | 36,718 |
|
68 | A*01-B*56-DRB1*16 | | Brazil South East Cord Blood | 0.0040 | | 11,409 |
|
69 | A*02:01-B*56:01-DRB1*16:02 | | Israel Poland Jews | 0.0040 | | 13,871 |
|
70 | A*11:01-B*56:01-DRB1*16:01 | | Israel USSR Jews | 0.0038 | | 45,681 |
|
71 | A*68:02-B*56:01-DRB1*16:01 | | Israel Poland Jews | 0.0036 | | 13,871 |
|
72 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0035 | | 23,595 |
|
73 | A*03:02-B*56:01-DRB1*16:01 | | Israel USSR Jews | 0.0035 | | 45,681 |
|
74 | A*26:01-B*56:01-DRB1*16:02 | | Israel Morocco Jews | 0.0027 | | 36,718 |
|
75 | A*02:01-B*56:01-C*02:02-DRB1*16:01 | | Poland DKMS | 0.0025 | | 20,653 |
|
76 | A*11:01-B*56:01-C*01:02-DRB1*16:01 | | Poland DKMS | 0.0025 | | 20,653 |
|
77 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0024 | | 23,595 |
|
78 | A*01:01-B*56:01-C*15:02-DRB1*16:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
79 | A*26:01-B*56:01-C*01:02-DRB1*16:02 | | Poland DKMS | 0.0024 | | 20,653 |
|
80 | A*24:02:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
81 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0022 | | 23,595 |
|
82 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
83 | A*24:02-B*56:01-DRB1*16:01 | | Israel Arab pop 2 | 0.0021 | | 12,301 |
|
84 | A*26:01-B*56:01-DRB1*16:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
85 | A*24:95-B*56:01-DRB1*16:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
86 | A*31:08-B*56:01-DRB1*16:01 | | Israel USSR Jews | 0.0012 | | 45,681 |
|
87 | A*33:01-B*56:01-DRB1*16:01 | | Israel USSR Jews | 0.0010 | | 45,681 |
|
88 | A*32:01-B*56:01-C*01:02-DRB1*16:01 | | Poland DKMS | 0.0010 | | 20,653 |
|
89 | A*24:17-B*56:01-DRB1*16:01 | | Israel Morocco Jews | 0.0006810 | | 36,718 |
|
90 | A*31:08-B*56:01-DRB1*16:01 | | Israel Morocco Jews | 0.0006810 | | 36,718 |
|
91 | A*25:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0002198 | | 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).