Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
601 | A*02-B*48-DRB1*08:02 | | Chile Santiago | 0.0304 | | 920 |
|
602 | A*02-B*48-DRB1*08:02 | | USA NMDP Hispanic | 0.2000 | | 449,844 |
|
603 | A*02-B*48-DRB1*08:02-DQB1*04:02 | | Bolivia Quechua | 1.5200 | | 69 |
|
604 | A*02-B*48-DRB1*08:02-DQB1*04:02 | | Bolivia La Paz Aymaras | 5.1870 | | 87 |
|
605 | A*02-B*48-DRB1*08:04-DQB1*04:02 | | Peru Lamas City Lama | 7.8000 | | 83 |
|
606 | A*02-B*48-DRB1*08:42 | | Chile Santiago | 0.0272 | | 920 |
|
607 | A*02-B*48-DRB1*08-DQB1*03:01 | | Mexico Mexico City North | 0.0664 | | 751 |
|
608 | A*02-B*48-DRB1*08-DQB1*04 | | Ecuador Andes Mixed Ancestry | 0.1820 | | 824 |
|
609 | A*02-B*48-DRB1*08-DQB1*04 | | Ecuador Mixed Ancestry | 0.1705 | | 1,173 |
|
610 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Hidalgo, Pachuca | 1.2195 | | 41 |
|
611 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Tlaxcala, Tlaxcala city | 0.2762 | | 181 |
|
612 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Mexico City North | 0.9960 | | 751 |
|
613 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Puebla, Puebla city | 0.6513 | | 1,994 |
|
614 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Quintana Roo, Cancun | 1.0417 | | 48 |
|
615 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Mexico City West | 1.4706 | | 33 |
|
616 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Veracruz, Veracruz city | 2.0349 | | 171 |
|
617 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Veracruz, Xalapa | 0.5348 | | 187 |
|
618 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Morelos, Cuernavaca | 0.6098 | | 82 |
|
619 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Guerrero state | 0.3472 | | 144 |
|
620 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Hidalgo Rural | 0.6173 | | 81 |
|
621 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Tlaxcala Rural | 0.6024 | | 830 |
|
622 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Oaxaca Rural | 0.2053 | | 485 |
|
623 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Puebla Rural | 0.5995 | | 833 |
|
624 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Chiapas Rural | 0.4132 | | 121 |
|
625 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Tabasco Rural | 0.7042 | | 142 |
|
626 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Jalisco Rural | 0.1706 | | 585 |
|
627 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Nayarit Rural | 0.7812 | | 64 |
|
628 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Zacatecas Rural | 1.1152 | | 266 |
|
629 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Coahuila Rural | 0.4587 | | 216 |
|
630 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Guanajuato Rural | 0.6135 | | 162 |
|
631 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Michoacan Rural | 0.7163 | | 348 |
|
632 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Nuevo Leon Rural | 0.4545 | | 439 |
|
633 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
634 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Tamaulipas Rural | 0.3968 | | 125 |
|
635 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Baja Californa, Mexicali | 0.5000 | | 100 |
|
636 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
637 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Chihuahua Rural | 0.6276 | | 236 |
|
638 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Baja California Rural | 2.0000 | | 50 |
|
639 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Guanajuato, Leon | 0.6410 | | 78 |
|
640 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Jalisco, Guadalajara city | 0.4188 | | 1,189 |
|
641 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Guanajuato, Guanajuato city | 2.2727 | | 22 |
|
642 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Nuevo Leon, Monterrey city | 1.7699 | | 226 |
|
643 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Queretaro Rural | 1.1628 | | 43 |
|
644 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico San Luis Potosi Rural | 1.1494 | | 87 |
|
645 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Sonora, Ciudad Obregón | 0.3497 | | 143 |
|
646 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Durango, Durango city | 0.3226 | | 153 |
|
647 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Coahuila, Torreon | 0.1250 | | 396 |
|
648 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Coahuila, Saltillo | 0.6849 | | 72 |
|
649 | A*02-B*48-DRB1*08-DQB1*04 | | Mexico Mexico City Center | 0.3247 | | 152 |
|
650 | A*02-B*48-DRB1*09 | | Brazil South Ribeirao Preto | 0.3000 | | 184 |
|
651 | A*02-B*48-DRB1*09 | | Brazil South East Cord Blood | 0.2170 | | 11,409 |
|
652 | A*02-B*48-DRB1*09 | | Brazil Para State | 0.5421 | | 5,000 |
|
653 | A*02-B*48-DRB1*09 | | Brazil Para Cord Blood Unit | 1.2993 | | 841 |
|
654 | A*02-B*48-DRB1*09 | | China Shaanxi Province Han | 0.3000 | | 10,000 |
|
655 | A*02-B*48-DRB1*09:01-DQA1*03:01-DQB1*03:02 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
656 | A*02-B*48-DRB1*09:01-DQB1*03:02 | | Bolivia La Paz Aymaras | 1.1490 | | 87 |
|
657 | A*02-B*48-DRB1*09:01-DQB1*03:03 | | Bolivia La Paz Aymaras | 1.6880 | | 87 |
|
658 | A*02-B*48-DRB1*09:01-DQB1*03:03 | | Bolivia Quechua | 2.1000 | | 69 |
|
659 | A*02-B*48-DRB1*09-DQA1*03-DQB1*03:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
660 | A*02-B*48-DRB1*09-DQB1*02 | | Mexico Puebla Rural | 0.0600 | | 833 |
|
661 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Andes Mixed Ancestry | 1.3956 | | 824 |
|
662 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Coast Mixed Ancestry | 0.4202 | | 238 |
|
663 | A*02-B*48-DRB1*09-DQB1*03:03 | | Ecuador Mixed Ancestry | 1.0656 | | 1,173 |
|
664 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Chihuahua Rural | 0.4184 | | 236 |
|
665 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Coahuila Rural | 1.3761 | | 216 |
|
666 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Durango Rural | 0.1529 | | 326 |
|
667 | A*02-B*48-DRB1*09-DQB1*03:03 | | Mexico Durango, Durango city | 0.6452 | | 153 |
|
668 | A*02-B*48-DRB1*09-DQB1*05 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
669 | A*02-B*48-DRB1*10 | | Brazil South East Cord Blood | 0.0060 | | 11,409 |
|
670 | A*02-B*48-DRB1*10 | | Brazil Para Cord Blood Unit | 0.0358 | | 841 |
|
671 | A*02-B*48-DRB1*11 | | Brazil South East Cord Blood | 0.0480 | | 11,409 |
|
672 | A*02-B*48-DRB1*11 | | Brazil Para State | 0.0106 | | 5,000 |
|
673 | A*02-B*48-DRB1*11 | | China Shaanxi Province Han | 0.2000 | | 10,000 |
|
674 | A*02-B*48-DRB1*11:01 | | USA NMDP Asian and Pacific Islander | 0.1000 | | 359,423 |
|
675 | A*02-B*48-DRB1*12 | | China Shaanxi Province Han | 0.2000 | | 10,000 |
|
676 | A*02-B*48-DRB1*12 | | Russia South Ural Bashkir | 1.0000 | | 146 |
|
677 | A*02-B*48-DRB1*13 | | Brazil Para Cord Blood Unit | 0.0884 | | 841 |
|
678 | A*02-B*48-DRB1*13 | | Russia South Ural Bashkir | 2.1000 | | 146 |
|
679 | A*02-B*48-DRB1*13-DQB1*06 | | Mexico Jalisco, Zapopan | 0.5952 | | 168 |
|
680 | A*02-B*48-DRB1*14 | | Brazil Para State | 0.0292 | | 5,000 |
|
681 | A*02-B*48-DRB1*14 | | Brazil South East Cord Blood | 0.0330 | | 11,409 |
|
682 | A*02-B*48-DRB1*14 | | China Shaanxi Province Han | 0.2000 | | 10,000 |
|
683 | A*02-B*48-DRB1*14 | | India sub-Himalayan West Bengal Kami | 0.9400 | | 158 |
|
684 | A*02-B*48-DRB1*14:02 | | Chile Santiago | 0.1261 | | 920 |
|
685 | A*02-B*48-DRB1*14:02 | | USA NMDP Hispanic | 0.1000 | | 449,844 |
|
686 | A*02-B*48-DRB1*14:02-DQB1*03:01 | | Bolivia La Paz Aymaras | 2.4760 | | 87 |
|
687 | A*02-B*48-DRB1*14:06 | | Chile Santiago | 0.0874 | | 920 |
|
688 | A*02-B*48-DRB1*14:09 | | Chile Santiago | 0.0272 | | 920 |
|
689 | A*02-B*48-DRB1*14:19 | | Chile Santiago | 0.0272 | | 920 |
|
690 | A*02-B*48-DRB1*14:48 | | Chile Santiago | 0.0272 | | 920 |
|
691 | A*02-B*48-DRB1*14:51 | | Chile Santiago | 0.0272 | | 920 |
|
692 | A*02-B*48-DRB1*14-DQB1*03:01 | | Ecuador Mixed Ancestry | 0.8951 | | 1,173 |
|
693 | A*02-B*48-DRB1*14-DQB1*03:01 | | Ecuador Coast Mixed Ancestry | 0.4202 | | 238 |
|
694 | A*02-B*48-DRB1*14-DQB1*03:01 | | Ecuador Amazonia Mixed Ancestry | 1.2821 | | 39 |
|
695 | A*02-B*48-DRB1*14-DQB1*03:01 | | Ecuador Andes Mixed Ancestry | 1.0922 | | 824 |
|
696 | A*02-B*48-DRB1*14-DQB1*03:01 | | Mexico Veracruz, Xalapa | 0.8021 | | 187 |
|
697 | A*02-B*48-DRB1*14-DQB1*03:01 | | Mexico Veracruz, Orizaba | 1.6667 | | 60 |
|
698 | A*02-B*48-DRB1*14-DQB1*03:01 | | Mexico Mexico City North | 0.7304 | | 751 |
|
699 | A*02-B*48-DRB1*14-DQB1*03:01 | | Mexico Guerrero state | 0.3472 | | 144 |
|
700 | A*02-B*48-DRB1*14-DQB1*03:01 | | Mexico Puebla, Puebla city | 0.3006 | | 1,994 |
|
* 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).