Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
701 | A*24:02-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0090 | | 5,829 |
|
702 | A*02:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0088 | | 11,446 |
|
703 | A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0088 | | 5,849 |
|
704 | A*24:02-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0087 | | 11,446 |
|
705 | A*26:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110 | | India South UCBB | 0.0087 | | 11,446 |
|
706 | A*26:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0087 | | 11,446 |
|
707 | A*01:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
708 | A*01:04N-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
709 | A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
710 | A*02:05-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
711 | A*03:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0086 | | 5,849 |
|
712 | A*03:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0086 | | 5,849 |
|
713 | A*11:01-B*44:03-C*08:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
714 | A*11:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
715 | A*24:07-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
716 | A*24:33-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
717 | A*26:01-B*44:03-C*03:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
718 | A*26:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0086 | | 11,446 |
|
719 | A*26:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
720 | A*26:01-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
721 | A*29:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
722 | A*31:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
723 | A*32:01-B*44:03-C*12:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0086 | | 5,849 |
|
724 | A*33:03-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0086 | | 5,849 |
|
725 | A*68:01-B*44:03-C*07:04-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
726 | A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:01 | | India West UCBB | 0.0086 | | 5,829 |
|
727 | A*68:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0086 | | 5,829 |
|
728 | A*30:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0085 | | 23,595 |
|
729 | A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110 | | India North UCBB | 0.0085 | | 5,849 |
|
730 | A*01:01-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
731 | A*02:01-B*44:03-C*03:04-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
732 | A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
733 | A*02:11-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
734 | A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
735 | A*11:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
736 | A*11:01-B*44:03-C*07:04-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
737 | A*11:01-B*44:03-C*12:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
738 | A*24:02-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
739 | A*24:02-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
740 | A*24:02-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0085 | | 5,829 |
|
741 | A*68:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0085 | | 5,849 |
|
742 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Hispanic South or Central American | 0.0082 | | 146,714 |
|
743 | A*01:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0082 | | 11,446 |
|
744 | A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110 | | India South UCBB | 0.0082 | | 11,446 |
|
745 | A*24:07-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0082 | | 5,829 |
|
746 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Mexican or Chicano | 0.0079 | | 261,235 |
|
747 | A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Chinese | 0.0076 | | 99,672 |
|
748 | A*11:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0072 | | 23,595 |
|
749 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP African American pop 2 | 0.0066 | | 416,581 |
|
750 | A*31:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0066 | | 23,595 |
|
751 | A*03:01:01-B*44:03:01-C*04:77-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0064 | | 23,595 |
|
752 | A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0063 | | 23,595 |
|
753 | A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0062 | | 11,446 |
|
754 | A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110 | | India South UCBB | 0.0062 | | 11,446 |
|
755 | A*68:01:02-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0062 | | 23,595 |
|
756 | A*02:06-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0061 | | 11,446 |
|
757 | A*30:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0056 | | 11,446 |
|
758 | A*01:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0052 | | 11,446 |
|
759 | A*11:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0049 | | 11,446 |
|
760 | A*30:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0048 | | 23,595 |
|
761 | A*24:02:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0046 | | 23,595 |
|
762 | A*24:02:01-B*44:03:01-C*03:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0044 | | 23,595 |
|
763 | A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
764 | A*02:03-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
765 | A*02:05-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
766 | A*02:11-B*44:03-C*03:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
767 | A*11:01-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
768 | A*11:01-B*44:03-C*14:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
769 | A*24:02-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
770 | A*24:02-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
771 | A*26:01-B*44:03-C*16:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
772 | A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
773 | A*30:01-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
774 | A*30:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
775 | A*31:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:110 | | India South UCBB | 0.0044 | | 11,446 |
|
776 | A*31:16-B*44:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
777 | A*33:03-B*44:03-C*15:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
778 | A*33:03-B*44:03-C*15:05-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
779 | A*33:10-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
780 | A*33:146-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
781 | A*68:01-B*44:03-C*07:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
782 | A*68:01-B*44:03-C*12:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0044 | | 11,446 |
|
783 | A*24:02-B*44:03-C*01:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0043 | | 11,446 |
|
784 | A*26:01:01-B*44:03:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
785 | A*24:02:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
786 | A*32:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
787 | A*31:01:02-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0041 | | 23,595 |
|
788 | A*31:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0039 | | 11,446 |
|
789 | A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Korean | 0.0039 | | 77,584 |
|
790 | A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0038 | | 11,446 |
|
791 | A*68:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0036 | | 23,595 |
|
792 | A*24:02-B*44:03-C*06:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0036 | | 11,446 |
|
793 | A*01:01:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0035 | | 23,595 |
|
794 | A*25:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0033 | | 23,595 |
|
795 | A*02:01:01-B*44:03:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0030 | | 23,595 |
|
796 | A*02:01:01-B*44:02:01-C*07:04:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0030 | | 23,595 |
|
797 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Caribean Hispanic | 0.0027 | | 115,374 |
|
798 | A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0026 | | 11,446 |
|
799 | A*02:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0025 | | 23,595 |
|
800 | A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP North American Amerindian | 0.0025 | | 35,791 |
|
* 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).