Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*68-B*15-DRB1*04:03-DQB1*03:02 | | Colombia Wayu from Guajira Peninsula | 4.1700 | | 48 |
|
2 | B*15:01:01-DRB1*04:03 | | Taiwan Siraya | 2.9000 | | 51 |
|
3 | A*31:01:02-B*15:01-DRB1*04:03-DQB1*03:02 | | USA South Dakota Lakota Sioux | 2.2000 | | 302 |
|
4 | A*02-B*15-DRB1*04:03-DQB1*03:02 | | Colombia Wayu from Guajira Peninsula | 2.0800 | | 48 |
|
5 | B*15:01-DRB1*04:03-DQB1*03:02 | | South Korea pop 3 | 1.6000 | | 485 |
|
6 | A*31:01-B*15:30-DRB1*04:03 | | Mexico Oaxaca Jamiltepec Mixtec | 1.5600 | | 96 |
|
7 | B*15:01-C*04:01-DRB1*04:03 | | South Korea pop 3 | 1.3000 | | 485 |
|
8 | A*24-B*15-DRB1*04:03-DQB1*03:02 | | Colombia Wayu from Guajira Peninsula | 1.2000 | | 48 |
|
9 | A*02-B*15-DRB1*04:03-DQB1*03:02 | | Colombia San Basilio de Palenque | 1.1910 | | 42 |
|
10 | A*31:01-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02 | | Mexico Chichen Itza Maya (prehispanic) | 1.0638 | | 47 |
|
11 | A*02-B*15-DRB1*04:03-DQB1*03:03 | | Colombia Wayu from Guajira Peninsula | 1.0400 | | 48 |
|
12 | A*31-B*15-DRB1*04:03-DQB1*03:02 | | Colombia Wayu from Guajira Peninsula | 1.0400 | | 48 |
|
13 | A*11:01-B*15:01-DRB1*04:03 | | South Korea pop 3 | 1.0000 | | 485 |
|
14 | B*15:02-DRB1*04:03 | | Philippines Ivatan | 1.0000 | | 50 |
|
15 | A*68:19-B*15:01-C*03:28-DRB1*04:03-DQB1*03:02 | | Colombia North Wiwa El Encanto | 0.9615 | | 52 |
|
16 | A*24-B*15-DRB1*04:03-DQB1*03:02 | | Mexico San Vicente Tancuayalab Teenek/Huastecos | 0.9400 | | 53 |
|
17 | A*01:01-B*15:17-DRB1*04:03 | | Israel Morocco Jews | 0.8540 | | 36,718 |
|
18 | A*32:01-B*15:01-DRB1*04:03-DQB1*03:02 | | Chile Mapuche | 0.7700 | | 66 |
|
19 | A*24:02-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02 | | Mexico Tixcacaltuyub Maya | 0.7463 | | 67 |
|
20 | A*69-B*15-DRB1*04:03-DQB1*03:02 | | Bolivia Quechua | 0.7200 | | 69 |
|
21 | A*26:01:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.5620 | | 356 |
|
22 | A*02:01-B*15:01-DRB1*04:03 | | Mexico Oaxaca Jamiltepec Mixtec | 0.5200 | | 96 |
|
23 | A*02:01-B*15:01-DRB1*04:03-DQB1*03:02 | | Peru Titikaka Lake Uros | 0.4800 | | 105 |
|
24 | A*68:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01 | | Sri Lanka Colombo | 0.4202 | | 714 |
|
25 | A*01:01-B*15:01-DRB1*04:03 | | Israel Morocco Jews | 0.4010 | | 36,718 |
|
26 | A*31:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02 | | USA NMDP Alaska Native or Aleut | 0.3965 | | 1,376 |
|
27 | A*02:01-B*15:03-C*02:02-DRB1*04:03-DQA1*02:01-DQB1*02:02 | | Brazil Puyanawa | 0.3333 | | 150 |
|
28 | A*24:02-B*15:07-C*03:03-DRB1*04:03 | | Japan pop 16 | 0.3230 | | 18,604 |
|
29 | A*02:06-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02 | | USA NMDP Alaska Native or Aleut | 0.2899 | | 1,376 |
|
30 | A*01:01:01-B*15:17:01-C*12:02:01-DRB1*04:03:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
31 | A*33:03:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
32 | A*68:01:02-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
33 | A*01:01:01-B*15:25:01-C*07:26:01-DRB1*04:03:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
34 | A*11:01:01-B*15:17:01-C*07:01:01-DRB1*04:03:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
35 | A*68:01:02-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
36 | A*02:11:01-B*15:02:01-C*04:03:01-DRB1*04:03:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
37 | A*11:01:01-B*15:05:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
38 | A*24:02:13-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
39 | A*02:01-B*15:07-C*03:03-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Chinese | 0.2577 | | 194 |
|
40 | A*24:02-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Chinese | 0.2577 | | 194 |
|
41 | A*24:02-B*15:07-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.2300 | | 3,078 |
|
42 | A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.2295 | | 2,492 |
|
43 | A*11:01-B*15:01-DRB1*04:03 | | Hong Kong Chinese cord blood registry | 0.2279 | | 3,892 |
|
44 | A*26:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01 | | Sri Lanka Colombo | 0.2101 | | 714 |
|
45 | A*11:01-B*15:01-C*04:01-DRB1*04:03 | | Hong Kong Chinese BMDR | 0.2073 | | 7,595 |
|
46 | A*02-B*15-DRB1*04:03 | | USA NMDP Hispanic | 0.2000 | | 449,844 |
|
47 | A*29:02:01-B*15:03:01-C*16:01:01-DRB1*04:03:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
48 | A*31:01-B*15:01-C*01:02-DRB1*04:03-DQB1*03:02-DPB1*04:02 | | Panama | 0.1900 | | 462 |
|
49 | A*01:01-B*15:17-DRB1*04:03 | | Israel Druze | 0.1860 | | 5,914 |
|
50 | A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
51 | A*03:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
52 | A*24:02-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
53 | A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
54 | A*01:01-B*15:17-DRB1*04:03 | | Israel Tunisia Jews | 0.1790 | | 9,070 |
|
55 | A*02:06-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
56 | A*24:17-B*15:02-C*08:01-DRB1*04:03-DQB1*06:01 | | India Northeast UCBB | 0.1689 | | 296 |
|
57 | A*33:03-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02 | | India Northeast UCBB | 0.1689 | | 296 |
|
58 | A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.1632 | | 11,446 |
|
59 | A*02:02-B*15:17-DRB1*04:03 | | Israel Morocco Jews | 0.1600 | | 36,718 |
|
60 | A*24:02-B*15:01-DRB1*04:03-DQB1*03:02 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
61 | A*25:01-B*15:01-C*03:03-DRB1*04:03 | | Germany DKMS - Croatia minority | 0.1460 | | 2,057 |
|
62 | A*11:01-B*15:18-C*16:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01 | | Sri Lanka Colombo | 0.1401 | | 714 |
|
63 | A*24:02:01-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
64 | A*26:01:01-B*15:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
65 | A*32:01-B*15:17-DRB1*04:03 | | Israel Morocco Jews | 0.1230 | | 36,718 |
|
66 | A*11:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.1211 | | 11,446 |
|
67 | A*02:01-B*15:17-DRB1*04:03 | | Israel USA Jews | 0.1210 | | 6,058 |
|
68 | A*03:01-B*15:17-DRB1*04:03 | | Israel Arab pop 2 | 0.1150 | | 12,301 |
|
69 | A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01 | | Russia Karelia | 0.1121 | | 1,075 |
|
70 | A*02:01-B*15:01-DRB1*04:03 | | Hong Kong Chinese cord blood registry | 0.1094 | | 3,892 |
|
71 | A*31:08-B*15:17-DRB1*04:03 | | Israel Druze | 0.1080 | | 5,914 |
|
72 | A*01:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.1017 | | 2,492 |
|
73 | A*24-B*15-DRB1*04:03 | | USA NMDP Asian and Pacific Islander | 0.1000 | | 359,423 |
|
74 | A*31:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.1000 | | 3,078 |
|
75 | A*03:02-B*15:17-DRB1*04:03 | | Israel Argentina Jews | 0.0964 | | 4,307 |
|
76 | A*02:06-B*15:30-C*01:02-DRB1*04:03-DQB1*03:02 | | USA Hispanic pop 2 | 0.0940 | | 1,999 |
|
77 | A*31:01-B*15:17-DRB1*04:03 | | Israel Iraq Jews | 0.0902 | | 13,270 |
|
78 | A*31:01-B*15:01-C*04:01-DRB1*04:03 | | Germany DKMS - Spain minority | 0.0900 | | 1,107 |
|
79 | A*24:07-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02 | | USA Asian pop 2 | 0.0890 | | 1,772 |
|
80 | A*24:02-B*15:01-DRB1*04:03 | | Hong Kong Chinese cord blood registry | 0.0889 | | 3,892 |
|
81 | A*02:01-B*15:17-DRB1*04:03 | | Israel Poland Jews | 0.0880 | | 13,871 |
|
82 | A*02:01-B*15:17-DRB1*04:03 | | Israel Ashkenazi Jews pop 3 | 0.0832 | | 4,625 |
|
83 | A*02-B*15-DRB1*04:03-DQA1*03:01-DQB1*03:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
84 | A*11:01-B*15:07-C*03:03-DRB1*04:03 | | Germany DKMS - China minority | 0.0780 | | 1,282 |
|
85 | A*01:01-B*15:17-DRB1*04:03 | | Israel Arab pop 2 | 0.0763 | | 12,301 |
|
86 | A*24:02-B*15:01-C*04:01-DRB1*04:03 | | Hong Kong Chinese BMDR | 0.0761 | | 7,595 |
|
87 | A*24:02-B*15:25-C*07:26-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0730 | | 2,492 |
|
88 | A*02:06-B*15:01-DRB1*04:03 | | Hong Kong Chinese cord blood registry | 0.0703 | | 3,892 |
|
89 | A*01:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
90 | A*01:01-B*15:17-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
91 | A*01:01-B*15:18-C*16:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*21:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
92 | A*02:06-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
93 | A*11:01-B*15:13-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:02 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
94 | A*30:01-B*15:18-C*06:02-DRB1*04:03-DQA1*02:01-DQB1*03:02-DPB1*26:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
95 | A*68:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01 | | Sri Lanka Colombo | 0.0700 | | 714 |
|
96 | A*31:01-B*15:07-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0700 | | 3,078 |
|
97 | A*03:01-B*15:09-C*07:04-DRB1*04:03-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
98 | A*11:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02 | | India Tamil Nadu | 0.0635 | | 2,492 |
|
99 | A*31:01-B*15:08-C*01:02-DRB1*04:03-DQB1*03:02 | | India East UCBB | 0.0621 | | 2,403 |
|
100 | A*24:02-B*15:18-C*16:02-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0610 | | 11,446 |
|
* 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).