Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Colima, Colima city | 1.6393 | ![](images/bar_10.gif) | 61 |
![](images/icon_world.gif) |
2 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Oaxaca, Oaxaca city | 1.3245 | ![](images/bar_10.gif) | 151 |
![](images/icon_world.gif) |
3 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Tlaxcala, Tlaxcala city | 0.8287 | ![](images/bar_10.gif) | 181 |
![](images/icon_world.gif) |
4 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/ECU.bmp) | Ecuador Coast Mixed Ancestry | 0.4202 | ![](images/bar_10.gif) | 238 |
![](images/icon_world.gif) |
5 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Guerrero state | 0.3472 | ![](images/bar_10.gif) | 144 |
![](images/icon_world.gif) |
6 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Mexico City Metropolitan Area Rural | 0.3289 | ![](images/bar_10.gif) | 150 |
![](images/icon_world.gif) |
7 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Mexico City Center | 0.3247 | ![](images/bar_10.gif) | 152 |
![](images/icon_world.gif) |
8 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Puebla Rural | 0.2998 | ![](images/bar_10.gif) | 833 |
![](images/icon_world.gif) |
9 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Veracruz, Veracruz city | 0.2907 | ![](images/bar_10.gif) | 171 |
![](images/icon_world.gif) |
10 | A*02:01-B*15:05-C*04:01-DRB1*04:06-DQB1*03:02 | ![](images/SFlags/MYS.bmp) | Malaysia Peninsular Chinese | 0.2577 | ![](images/bar_10.gif) | 194 |
![](images/icon_world.gif) |
11 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Coahuila, Torreon | 0.2500 | ![](images/bar_10.gif) | 396 |
![](images/icon_world.gif) |
12 | A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | ![](images/SFlags/MYS.bmp) | Malaysia Peninsular Indian | 0.1845 | ![](images/bar_10.gif) | 271 |
![](images/icon_world.gif) |
13 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Tlaxcala Rural | 0.1807 | ![](images/bar_10.gif) | 830 |
![](images/icon_world.gif) |
14 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Durango Rural | 0.1529 | ![](images/bar_10.gif) | 326 |
![](images/icon_world.gif) |
15 | A*02:01-B*15:05-DRB1*04:04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Mexico City Tlalpan | 0.1515 | ![](images/bar_10.gif) | 330 |
![](images/icon_world.gif) |
16 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Mexico City North | 0.1328 | ![](images/bar_10.gif) | 751 |
![](images/icon_world.gif) |
17 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/ECU.bmp) | Ecuador Mixed Ancestry | 0.0853 | ![](images/bar_10.gif) | 1,173 |
![](images/icon_world.gif) |
18 | A*02-B*15:05-DRB1*04-DQB1*03:02 | ![](images/SFlags/MEX.bmp) | Mexico Puebla, Puebla city | 0.0752 | ![](images/bar_10.gif) | 1,994 |
![](images/icon_world.gif) |
19 | A*02:01-B*15:05-C*07:04-DRB1*04:08-DQA1*03:01-DQB1*03:02-DPB1*04:01 | ![](images/SFlags/LKA.bmp) | Sri Lanka Colombo | 0.0700 | ![](images/bar_10.gif) | 714 |
![](images/icon_world.gif) |
20 | A*02:01-B*15:05-C*01:02-DRB1*04:11-DQB1*03:02 | ![](images/SFlags/COL.bmp) | Colombia Bogotá Cord Blood | 0.0684 | ![](images/bar_10.gif) | 1,463 |
![](images/icon_world.gif) |
21 | A*02:22-B*15:05-C*01:02-DRB1*04:07-DQB1*03:02 | ![](images/SFlags/COL.bmp) | Colombia Bogotá Cord Blood | 0.0342 | ![](images/bar_10.gif) | 1,463 |
![](images/icon_world.gif) |
22 | A*02:01:01-B*15:05:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01 | ![](images/SFlags/CHN.bmp) | China Zhejiang Han | 0.0288 | ![](images/bar_10.gif) | 1,734 |
![](images/icon_world.gif) |
23 | A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | ![](images/SFlags/IND.bmp) | India Tamil Nadu | 0.0211 | ![](images/bar_10.gif) | 2,492 |
![](images/icon_world.gif) |
24 | A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | ![](images/SFlags/IND.bmp) | India West UCBB | 0.0089 | ![](images/bar_10.gif) | 5,829 |
![](images/icon_world.gif) |
25 | A*02:01-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02 | ![](images/SFlags/IND.bmp) | India South UCBB | 0.0045 | ![](images/bar_10.gif) | 11,446 |
![](images/icon_world.gif) |
26 | A*02:01-B*15:05-C*03:03-DRB1*04:01-DQB1*03:02 | ![](images/SFlags/IND.bmp) | India South UCBB | 0.0044 | ![](images/bar_10.gif) | 11,446 |
![](images/icon_world.gif) |
27 | A*02:11-B*15:05-C*15:02-DRB1*04:03-DQB1*03:02 | ![](images/SFlags/IND.bmp) | India South UCBB | 0.0044 | ![](images/bar_10.gif) | 11,446 |
![](images/icon_world.gif) |
* 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).