Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
601 | A*11:01-B*48:01-C*08:01-DRB1*14:54 | | Japan pop 16 | 0.0050 | | 18,604 |
|
602 | A*11:01-B*48:01-C*08:01-DRB1*15:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
603 | A*11:01-B*48:01-C*08:01-DRB1*15:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
604 | A*11:01-B*48:01-C*08:01-DRB1*15:01-DQB1*06:02 | | USA Asian pop 2 | 0.0440 | | 1,772 |
|
605 | A*11:01-B*48:01-C*08:01-DRB1*15:02 | | Japan pop 16 | 0.0100 | | 18,604 |
|
606 | A*11:01-B*48:01-C*08:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
607 | A*11:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01 | | India Tamil Nadu | 0.0401 | | 2,492 |
|
608 | A*11:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
609 | A*11:01-B*48:01-C*08:01-DRB1*15:04-DQB1*05:02 | | India South UCBB | 0.0044 | | 11,446 |
|
610 | A*11:01-B*48:01-C*08:01-DRB1*16:02 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
611 | A*11:01-B*48:01-C*08:03-DRB1*04:01-DQB1*03:02 | | India West UCBB | 0.0086 | | 5,829 |
|
612 | A*11:01-B*48:01-C*08:03-DRB1*04:03-DQB1*03:02 | | India West UCBB | 0.0172 | | 5,829 |
|
613 | A*11:01-B*48:01-C*08:03-DRB1*04:05 | | Hong Kong Chinese BMDR | 0.0073 | | 7,595 |
|
614 | A*11:01-B*48:01-C*08:03-DRB1*04:05 | | Japan pop 16 | 0.0050 | | 18,604 |
|
615 | A*11:01-B*48:01-C*08:03-DRB1*04:07 | | Japan pop 16 | 0.0050 | | 18,604 |
|
616 | A*11:01-B*48:01-C*08:03-DRB1*04:10 | | Japan pop 16 | 0.0050 | | 18,604 |
|
617 | A*11:01-B*48:01-C*08:03-DRB1*08:03 | | Japan pop 16 | 0.0050 | | 18,604 |
|
618 | A*11:01-B*48:01-C*08:03-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0251 | | 7,595 |
|
619 | A*11:01-B*48:01-C*08:03-DRB1*09:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
620 | A*11:01-B*48:01-C*08:03-DRB1*09:01 | | Poland DKMS | 0.0004000 | | 20,653 |
|
621 | A*11:01-B*48:01-C*08:03-DRB1*09:01-DQB1*03:03 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
622 | A*11:01-B*48:01-C*08:03-DRB1*09:01-DQB1*06:110 | | India North UCBB | 0.0085 | | 5,849 |
|
623 | A*11:01-B*48:01-C*08:03-DRB1*11:01 | | Hong Kong Chinese BMDR | 0.0051 | | 7,595 |
|
624 | A*11:01-B*48:01-C*08:03-DRB1*12:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
625 | A*11:01-B*48:01-C*08:03-DRB1*12:02-DQB1*03:01 | | India West UCBB | 0.0167 | | 5,829 |
|
626 | A*11:01-B*48:01-C*08:03-DRB1*14:06 | | Japan pop 16 | 0.0050 | | 18,604 |
|
627 | A*11:01-B*48:01-C*08:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
628 | A*11:01-B*48:01-C*08:03-DRB1*15:01 | | Germany DKMS - China minority | 0.0980 | | 1,282 |
|
629 | A*11:01-B*48:01-C*08:03-DRB1*15:01 | | Japan pop 16 | 0.0730 | | 18,604 |
|
630 | A*11:01-B*48:01-C*08:03-DRB1*15:06-DQB1*05:02 | | India South UCBB | 0.0044 | | 11,446 |
|
631 | A*11:01-B*48:01-C*15:02-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0233 | | 7,595 |
|
632 | A*11:01-B*48:01-DRB1*03:01 | | Malaysia Kedah Kensiu | 2.3800 | | 21 |
|
633 | A*11:01-B*48:01-DRB1*04:03 | | Israel USA Jews | 0.0104 | | 6,058 |
|
634 | A*11:01-B*48:01-DRB1*04:04 | | Hong Kong Chinese cord blood registry | 0.0068 | | 3,892 |
|
635 | A*11:01-B*48:01-DRB1*04:05 | | Hong Kong Chinese cord blood registry | 0.0409 | | 3,892 |
|
636 | A*11:01-B*48:01-DRB1*04:07-DQB1*03:02 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
637 | A*11:01-B*48:01-DRB1*07:01 | | Israel USSR Jews | 0.0014 | | 45,681 |
|
638 | A*11:01-B*48:01-DRB1*08:01 | | Israel USSR Jews | 0.0006680 | | 45,681 |
|
639 | A*11:01-B*48:01-DRB1*08:03 | | New Zealand Maori with Admixed History | 1.4286 | | 105 |
|
640 | A*11:01-B*48:01-DRB1*08:03 | | New Zealand Maori with Full Ancestry | 1.1000 | | 46 |
|
641 | A*11:01-B*48:01-DRB1*08:03 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
642 | A*11:01-B*48:01-DRB1*08:03 | | New Zealand Polynesians with Full Ancestry | 2.3810 | | 21 |
|
643 | A*11:01-B*48:01-DRB1*08:10-DQB1*03:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
644 | A*11:01-B*48:01-DRB1*09:01 | | Hong Kong Chinese cord blood registry | 0.0694 | | 3,892 |
|
645 | A*11:01-B*48:01-DRB1*11:01 | | New Zealand Polynesians with Full Ancestry | 2.3810 | | 21 |
|
646 | A*11:01-B*48:01-DRB1*11:01 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
647 | A*11:01-B*48:01-DRB1*11:01 | | New Zealand Maori with Full Ancestry | 3.3000 | | 46 |
|
648 | A*11:01-B*48:01-DRB1*11:01 | | New Zealand Maori with Admixed History | 5.2381 | | 105 |
|
649 | A*11:01-B*48:01-DRB1*11:01-DQB1*03:01 | | Mexico Mexico City Tlalpan | 0.1515 | | 330 |
|
650 | A*11:01-B*48:01-DRB1*12:01 | | Hong Kong Chinese cord blood registry | 0.0273 | | 3,892 |
|
651 | A*11:01-B*48:01-DRB1*14:01 | | Israel USSR Jews | 0.0022 | | 45,681 |
|
652 | A*11:01-B*48:01-DRB1*14:54 | | Hong Kong Chinese cord blood registry | 0.0096 | | 3,892 |
|
653 | A*11:02:01-B*48:01:01-C*08:01:01-DRB1*04:06:01-DPB1*03:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0081 | | 5,266 |
|
654 | A*11:02-B*48:01 | | Taiwan Ami | 1.8000 | | 98 |
|
655 | A*11:02-B*48:01 | | USA Asian pop 2 | 0.0280 | | 1,772 |
|
656 | A*11:02-B*48:01-C*08:01-DRB1*12:01 | | Hong Kong Chinese BMDR | 0.0066 | | 7,595 |
|
657 | A*11:02-B*48:01-C*08:01-DRB1*14:54 | | Hong Kong Chinese BMDR | 0.0126 | | 7,595 |
|
658 | A*11:02-B*48:01-C*08:03-DRB1*08:03-DQB1*06:01 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
659 | A*11:02-B*48:01-C*08:03-DRB1*09:01 | | Japan pop 16 | 0.0050 | | 18,604 |
|
660 | A*11:02-B*48:01-C*08:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*02:01 | | Japan pop 17 | 0.0300 | | 3,078 |
|
661 | A*11:02-B*48:01-C*08:03-DRB1*14:05-DQB1*05:03 | | USA Asian pop 2 | 0.0110 | | 1,772 |
|
662 | A*11:02-B*48:01-C*15:02-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0146 | | 7,595 |
|
663 | A*11:02-B*48:01-DRB1*15:01 | | Hong Kong Chinese cord blood registry | 0.0146 | | 3,892 |
|
664 | A*11:03-B*48:01:01-C*08:01:01 | | China Jingpo Minority | 0.4950 | | 105 |
|
665 | A*11:03-B*48:01:01-C*08:01:01-DRB1*15:04 | | China Jingpo Minority | 0.5210 | | 105 |
|
666 | A*11:03-B*48:01:01-DRB1*15:04 | | China Jingpo Minority | 0.5210 | | 105 |
|
667 | A*11:03-B*48:01-C*08:03-DRB1*07:01-DQB1*03:01 | | India Central UCBB | 0.0119 | | 4,204 |
|
668 | A*23:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01:03-DQB1*06:02:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
669 | A*23:01-B*48:01 | | USA Hispanic pop 2 | 0.0300 | | 1,999 |
|
670 | A*23:01-B*48:01-C*01:02-DRB1*04:04-DQB1*03:02 | | USA Hispanic pop 2 | 0.0470 | | 1,999 |
|
671 | A*23:01-B*48:01-C*08:01-DRB1*04:04-DQB1*03:02 | | Mexico Mexico City Mestizo population | 0.3497 | | 143 |
|
672 | A*24:02:01:01-B*48:01:01-C*03:03:01-DRB1*14:01-DQB1*05:03:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
673 | A*24:02:01:01-B*48:01:01-C*06:02:01:01-DRB1*15:02-DQB1*03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
674 | A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*04:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0993 | | 1,510 |
|
675 | A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
676 | A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
677 | A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
678 | A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
679 | A*24:02:01:01-B*48:01:01-C*08:03:01-DRB1*15:01:01-DQB1*06:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
680 | A*24:02:01-B*48:01:01 | | China Jingpo Minority | 0.9900 | | 105 |
|
681 | A*24:02:01-B*48:01:01-C*03:03:01-DRB1*14:07:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0068 | | 5,266 |
|
682 | A*24:02:01-B*48:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
683 | A*24:02:01-B*48:01:01-C*08:01:01 | | South African Indian population | 1.0000 | | 50 |
|
684 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*01:02:01-DQB1*05:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
685 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 0.6944 | | 72 |
|
686 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*04:05:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0047 | | 5,266 |
|
687 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*04:10:01-DPB1*03:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0095 | | 5,266 |
|
688 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*08:03:02-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0189 | | 5,266 |
|
689 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
690 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
691 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0020 | | 23,595 |
|
692 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
693 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*14:54:01-DQB1*05:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
694 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DPB1*14:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0095 | | 5,266 |
|
695 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
696 | A*24:02:01-B*48:01:01-C*08:01:01-DRB1*15:02:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0120 | | 5,266 |
|
697 | A*24:02:01-B*48:01:01-C*08:03 | | China Jingpo Minority | 0.9900 | | 105 |
|
698 | A*24:02:01-B*48:01:01-C*08:03:01 | | South African Indian population | 1.0000 | | 50 |
|
699 | A*24:02:01-B*48:01:01-C*08:03:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
700 | A*24:02:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0081 | | 5,266 |
|
* 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).