Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
601 | A*30:01-B*13:01-DRB1*07:01-DQB1*03:02 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
602 | A*30:01-B*27:01-DRB1*13:03-DQB1*03:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
603 | A*30:01-B*35:01-DRB1*11:01-DQB1*03:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
604 | A*30:01-B*35:01-DRB1*15:01-DQB1*06:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
605 | A*30:01-B*38:01-DRB1*15:01-DQB1*06:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
606 | A*30:01-B*41:01-DRB1*03:01-DQB1*02:01 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
607 | A*30:01-B*49:01-DRB1*14:01-DQB1*03:05 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
608 | A*30:01-B*55:01-DRB1*04:01-DQB1*06:03 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
609 | A*30-B*13-DRB1*07-DQB1*02 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
610 | A*30-B*18-DRB1*03:01-DQB1*02 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
611 | A*30-B*35-DRB1*04-DQB1*03:02 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
612 | A*30-B*42-DRB1*01-DQB1*05 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
613 | A*30-B*42-DRB1*11-DQB1*03:01 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
614 | A*30-B*44-DRB1*13-DQB1*05 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
615 | A*30-B*27-DRB1*15-DQB1*06 | | Mexico Jalisco Rural | 0.5119 | | 585 |
|
616 | A*30-B*07-C*17-DRB1*08-DQB1*03 | | Sudan Khartoum | 0.5100 | | 98 |
|
617 | A*30-B*08-C*06-DRB1*03-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
618 | A*30-B*13-C*04-DRB1*04-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
619 | A*30-B*14-C*08-DRB1*03-DQB1*03 | | Sudan Khartoum | 0.5100 | | 98 |
|
620 | A*30-B*14-C*08-DRB1*11-DQB1*02 | | Sudan Khartoum | 0.5100 | | 98 |
|
621 | A*30-B*18-C*05-DRB1*03-DQB1*02 | | Sudan Khartoum | 0.5100 | | 98 |
|
622 | A*30-B*27-C*02-DRB1*07-DQB1*02 | | Sudan Khartoum | 0.5100 | | 98 |
|
623 | A*30-B*37-C*01-DRB1*03-DQB1*02 | | Sudan Khartoum | 0.5100 | | 98 |
|
624 | A*30-B*38-C*06-DRB1*13-DQB1*03 | | Sudan Khartoum | 0.5100 | | 98 |
|
625 | A*30-B*39-C*06-DRB1*13-DQB1*03 | | Sudan Khartoum | 0.5100 | | 98 |
|
626 | A*30-B*42-C*17-DRB1*13-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
627 | A*30-B*45-C*06-DRB1*13-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
628 | A*30-B*45-C*17-DRB1*13-DQB1*03 | | Sudan Khartoum | 0.5100 | | 98 |
|
629 | A*30-B*49-C*06-DRB1*15-DQB1*03 | | Sudan Khartoum | 0.5100 | | 98 |
|
630 | A*30-B*49-C*17-DRB1*03-DQB1*03 | | Sudan Khartoum | 0.5100 | | 98 |
|
631 | A*30-B*49-C*17-DRB1*11-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
632 | A*30-B*52-C*06-DRB1*07-DQB1*03 | | Sudan Khartoum | 0.5100 | | 98 |
|
633 | A*30-B*52-C*06-DRB1*15-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
634 | A*30-B*57-C*06-DRB1*08-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
635 | A*30-B*58-C*06-DRB1*13-DQB1*02 | | Sudan Khartoum | 0.5100 | | 98 |
|
636 | A*30-B*14:02-DRB1*15-DQB1*06 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
637 | A*30-B*15:03-DRB1*08-DQB1*04 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
638 | A*30-B*15:03-DRB1*11-DQB1*06 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
639 | A*30-B*18-DRB1*03:01-DQB1*02 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
640 | A*30-B*18-DRB1*15-DQB1*06 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
641 | A*30-B*42-DRB1*03:02-DQB1*04 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
642 | A*30-B*51-DRB1*16-DQB1*05 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
643 | A*30-B*14:02-DRB1*03:01-DQB1*02 | | Mexico Sonora, Hermosillo | 0.5051 | | 99 |
|
644 | A*30-B*15:03-DRB1*03:01-DQB1*02 | | Mexico Sonora, Hermosillo | 0.5051 | | 99 |
|
645 | A*30-B*44-DRB1*07-DQB1*02 | | Mexico Sonora, Hermosillo | 0.5051 | | 99 |
|
646 | A*30:01-B*07:02-C*07:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
647 | A*30:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
648 | A*30:01-B*15:03-C*17:01-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
649 | A*30:01-B*18:01-C*17:01-DRB1*03:81-DQA1*05:01-DQB1*02:01-DPB1*34:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
650 | A*30:01-B*35:01-C*07:05-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
651 | A*30:01-B*42:02-C*17:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*04:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
652 | A*30:01-B*45:01-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
653 | A*30:01-B*58:01-C*03:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
654 | A*30:01-B*58:02-C*06:02-DRB1*07:01-DQA1*04:01-DQB1*04:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
655 | A*30:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
656 | A*30:02-B*13:02-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*06:02-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
657 | A*30:02-B*14:02-C*08:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
658 | A*30:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
659 | A*30:02-B*18:01-C*05:01-DRB1*03:01:01-DQB1*02:01 | | England North West | 0.5000 | | 298 |
|
660 | A*30:02-B*42:01-C*17:01-DRB1*03:02-DQA1*01:02-DQB1*04:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
661 | A*30:02-B*45:01-C*06:11-DRB1*07:01-DQA1*02:01-DQB1*06:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
662 | A*30:02-B*45:01-C*16:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
663 | A*30:02-B*49:01-C*07:04-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
664 | A*30:02-B*50:01-C*06:02-DRB1*15:03-DQA1*04:01-DQB1*06:02-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
665 | A*30:02-B*53:01-C*04:01-DRB1*13:03-DQA1*02:01-DQB1*06:09-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
666 | A*30:02-B*53:01-C*08:02-DRB1*13:03-DQA1*01:02-DQB1*02:02-DPB1*02:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
667 | A*30:02-B*57:02-C*18:01-DRB1*01:01-DQA1*01:01-DQB1*02:01-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
668 | A*30:02-B*81:01-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*18:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
669 | A*30:02-B*81:01-C*16:01-DRB1*13:01-DQA1*01:01-DQB1*06:03-DPB1*04:02 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
670 | A*30:02-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
671 | A*30:04-B*41:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
672 | A*30-B*08-DRB1*03 | | Brazil South Ribeirao Preto | 0.5000 | | 184 |
|
673 | A*30-B*13-DRB1*07-DQB1*02 | | Mexico Baja Californa, Mexicali | 0.5000 | | 100 |
|
674 | A*30-B*14:02-DRB1*11-DQB1*03:01 | | Mexico Baja Californa, Mexicali | 0.5000 | | 100 |
|
675 | A*30-B*41-DRB1*08-DQB1*04 | | Mexico Baja Californa, Mexicali | 0.5000 | | 100 |
|
676 | A*30-B*42-DRB1*03 | | Brazil South Ribeirao Preto | 0.5000 | | 184 |
|
677 | A*30-B*42-DRB1*08 | | Brazil South Ribeirao Preto | 0.5000 | | 184 |
|
678 | A*30-B*42-DRB1*08:04 | | USA NMDP African American | 0.5000 | | 412,861 |
|
679 | A*30-B*42-DRB1*11 | | Brazil South Ribeirao Preto | 0.5000 | | 184 |
|
680 | A*30-B*42-DRB1*15 | | Brazil South Ribeirao Preto | 0.5000 | | 184 |
|
681 | A*30-B*81-DRB1*09 | | Brazil South Ribeirao Preto | 0.5000 | | 184 |
|
682 | A*30:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
683 | A*30:01-B*13:02-DRB1*07:01 | | Israel Morocco Jews | 0.4930 | | 36,718 |
|
684 | A*30:01:01-B*07:02:01-C*15:05:01-DRB1*13:03:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
685 | A*30:01:01-B*08:01:01-C*14:02:01-DRB1*14:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
686 | A*30:01:01-B*15:03:01-C*03:05-DRB1*07:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
687 | A*30:01:01-B*18:01:01-C*17:01:01-DRB1*03:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
688 | A*30:01:01-B*42:01:01-C*17:01:01-DRB1*07:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
689 | A*30:01:01-B*42:01:01-C*17:01:01-DRB1*13:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
690 | A*30:01:01-B*42:01:01-C*17:01:01-DRB1*13:03:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
691 | A*30:01:01-B*42:02-C*17:01:01-DRB1*08:04:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
692 | A*30:01:01-B*42:02-C*17:01:01-DRB1*13:04 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
693 | A*30:01:01-B*44:03:01-C*04:01:01-DRB1*15:03 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
694 | A*30:01:01-B*45:01-C*04:01:01-DRB1*03:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
695 | A*30:01:01-B*45:01-C*04:01:01-DRB1*03:02:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
696 | A*30:01:01-B*57:02:01-C*17:01:01-DRB1*15:03 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
697 | A*30:02:01-B*08:01:01-C*04:01:01-DRB1*09:01:02 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
698 | A*30:02:01-B*35:01:01-C*07:02:01-DRB1*13:02:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
699 | A*30:02:01-B*39:10:01-C*17:01:01-DRB1*13:03:01 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
700 | A*30:02:01-B*44:03:01-C*06:02:01-DRB1*15:03 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
* 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).