Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
701 | A*26:01-B*55:01-C*03:03-DRB1*03:01-DQB1*02:01 | | Italy pop 5 | 0.1400 | | 975 |
|
702 | A*31:01-B*07:02-C*03:03-DRB1*04:01-DQB1*05:02 | | Italy pop 5 | 0.1400 | | 975 |
|
703 | A*32:01:01-B*15:01:01-C*03:03:01-DRB1*14:04:01-DQB1*05:03:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
704 | A*68:01:02-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
705 | A*68:01:02-B*51:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
706 | B*51:01-C*03:03 | | Italy pop 5 | 0.1400 | | 975 |
|
707 | B*40:01-C*03:03 | | USA Asian pop 2 | 0.1390 | | 1,772 |
|
708 | A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1370 | | 4,335 |
|
709 | A*25:01-B*15:01-C*03:03-DRB1*01:01-DQB1*05:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1370 | | 4,335 |
|
710 | A*02:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.1368 | | 23,595 |
|
711 | A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02 | | Colombia Bogotá Cord Blood | 0.1367 | | 1,463 |
|
712 | A*11:01-B*55:01-C*03:03-DRB1*14:01-DQB1*05:03 | | Colombia Bogotá Cord Blood | 0.1367 | | 1,463 |
|
713 | A*24:02-B*15:01-C*03:03-DRB1*11:03 | | Germany DKMS - Spain minority | 0.1360 | | 1,107 |
|
714 | A*24:02-B*35:01-C*03:03-DRB1*04:03 | | Japan pop 16 | 0.1360 | | 18,604 |
|
715 | A*24:02-B*40:02-C*03:03-DRB1*09:01 | | Japan pop 16 | 0.1360 | | 18,604 |
|
716 | A*31:01-B*15:01-C*03:03-DRB1*15:01 | | Japan pop 16 | 0.1360 | | 18,604 |
|
717 | A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02 | | USA NMDP American Indian South or Central America | 0.1356 | | 5,926 |
|
718 | A*01:01-B*15:01-C*03:03-DRB1*13:01 | | Germany DKMS - Austria minority | 0.1350 | | 1,698 |
|
719 | A*24:02-B*35:01-C*03:03-DRB1*09:01-DQB1*03:03 | | USA Asian pop 2 | 0.1330 | | 1,772 |
|
720 | A*24:02-B*15:01-C*03:03-DRB1*13:01 | | Germany DKMS - Spain minority | 0.1320 | | 1,107 |
|
721 | A*26:01-B*44:02-C*03:03-DRB1*11:03 | | Germany DKMS - Croatia minority | 0.1310 | | 2,057 |
|
722 | A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03 | | Germany DKMS - Italy minority | 0.1300 | | 1,159 |
|
723 | A*02:06-B*35:01-C*03:03-DRB1*04:03 | | Japan pop 16 | 0.1300 | | 18,604 |
|
724 | A*02:06-B*35:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.1300 | | 3,078 |
|
725 | A*11:01-B*35:01-C*03:03-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.1300 | | 3,078 |
|
726 | A*24:02-B*35:01-C*03:03-DRB1*12:01 | | Japan pop 16 | 0.1300 | | 18,604 |
|
727 | A*02:06:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.1292 | | 1,734 |
|
728 | A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02 | | Germany DKMS - Italy minority | 0.1290 | | 1,159 |
|
729 | A*11:01-B*55:01-C*03:03-DRB1*14:01-DQB1*05:03 | | Germany DKMS - Italy minority | 0.1290 | | 1,159 |
|
730 | A*25:01-B*15:01-C*03:03-DRB1*07:01 | | Germany DKMS - Portugal minority | 0.1280 | | 1,176 |
|
731 | A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01 | | Germany DKMS - German donors | 0.1279 | | 3,456,066 |
|
732 | A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01 | | Germany DKMS - German donors | 0.1267 | | 3,456,066 |
|
733 | A*03:01-B*15:01-C*03:03-DRB1*13:01 | | Germany DKMS - Austria minority | 0.1260 | | 1,698 |
|
734 | A*31:01-B*15:01-C*03:03-DRB1*01:01 | | Germany DKMS - United Kingdom minority | 0.1250 | | 1,043 |
|
735 | A*11:01-B*40:02-C*03:03-DRB1*14:05-DQB1*05:03 | | USA Asian pop 2 | 0.1240 | | 1,772 |
|
736 | A*24:02-B*15:01-C*03:03-DRB1*11:01 | | Germany DKMS - Austria minority | 0.1240 | | 1,698 |
|
737 | A*01:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:01 | | USA NMDP American Indian South or Central America | 0.1237 | | 5,926 |
|
738 | A*02:01-B*15:01-C*03:03-DRB1*11:01 | | Germany DKMS - Romania minority | 0.1220 | | 1,234 |
|
739 | A*02:01-B*55:01-C*03:03-DRB1*13:01 | | Germany DKMS - Romania minority | 0.1220 | | 1,234 |
|
740 | A*11:01-B*55:01-C*03:03-DRB1*14:01 | | Germany DKMS - Romania minority | 0.1220 | | 1,234 |
|
741 | A*03:01-B*55:01-C*03:03-DRB1*14:01 | | Germany DKMS - Romania minority | 0.1210 | | 1,234 |
|
742 | A*24:02-B*15:01-C*03:03-DRB1*11:03 | | Germany DKMS - Croatia minority | 0.1210 | | 2,057 |
|
743 | A*03:01-B*55:01-C*03:03 | | Italy pop 5 | 0.1200 | | 975 |
|
744 | A*31:01-C*03:03 | | Italy pop 5 | 0.1200 | | 975 |
|
745 | A*32:01-C*03:03 | | Italy pop 5 | 0.1200 | | 975 |
|
746 | A*02:01-B*15:01-C*03:03-DRB1*07:01 | | Germany DKMS - Austria minority | 0.1190 | | 1,698 |
|
747 | A*24:02-B*35:01-C*03:03-DRB1*15:01 | | Germany DKMS - China minority | 0.1190 | | 1,282 |
|
748 | A*24:02-B*15:01-C*03:03-DRB1*14:04-DQB1*05:03 | | India East UCBB | 0.1187 | | 2,403 |
|
749 | A*01:01-B*55:01-C*03:03-DRB1*04:01 | | Germany DKMS - Austria minority | 0.1180 | | 1,698 |
|
750 | A*02:01-B*15:01-C*03:03-DRB1*11:01-DQB1*03:01 | | Germany DKMS - Italy minority | 0.1180 | | 1,159 |
|
751 | A*26:01:01-B*55:01:01-C*03:03:01 | | England Blood Donors of Mixed Ethnicity | 0.1172 | | 519 |
|
752 | A*02:01-B*35:01-C*03:03-DRB1*12:01 | | Germany DKMS - China minority | 0.1170 | | 1,282 |
|
753 | A*02:01-B*40:02-C*03:03-DRB1*09:01 | | Germany DKMS - China minority | 0.1170 | | 1,282 |
|
754 | A*24:02-B*15:01-C*03:03-DRB1*13:01 | | Germany DKMS - Romania minority | 0.1170 | | 1,234 |
|
755 | A*24:02-B*40:01-C*03:03-DRB1*08:03 | | Germany DKMS - China minority | 0.1170 | | 1,282 |
|
756 | A*31:01-B*35:01-C*03:03-DRB1*04:03 | | Germany DKMS - China minority | 0.1170 | | 1,282 |
|
757 | A*24:02-B*15:12-C*03:03-DRB1*15:02-DQB1*05:02 | | Malaysia Peninsular Malay | 0.1155 | | 951 |
|
758 | A*02:01:01-B*15:11:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
759 | A*02:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
760 | A*24:02:01-B*40:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
761 | A*24:02:01-B*55:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
762 | B*15:12-C*03:03 | | USA Asian pop 2 | 0.1130 | | 1,772 |
|
763 | A*02:01-B*38:01-C*03:03-DRB1*04:04-DQB1*03:02-DPB1*02:01 | | Russia Karelia | 0.1129 | | 1,075 |
|
764 | A*26:01-B*55:01-C*03:03-DRB1*11:03-DQB1*03:01-DPB1*04:02 | | Russia Karelia | 0.1128 | | 1,075 |
|
765 | A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*19:01 | | Russia Karelia | 0.1126 | | 1,075 |
|
766 | A*02:01-B*35:01-C*03:03-DRB1*09:01 | | Japan pop 16 | 0.1100 | | 18,604 |
|
767 | B*40:01-C*03:03 | | Italy pop 5 | 0.1100 | | 975 |
|
768 | B*49:01-C*03:03 | | Italy pop 5 | 0.1100 | | 975 |
|
769 | B*50:01-C*03:03 | | Italy pop 5 | 0.1100 | | 975 |
|
770 | A*11:01-B*51:01-C*03:03-DRB1*04:01 | | Germany DKMS - Netherlands minority | 0.1090 | | 1,374 |
|
771 | A*24:02-B*15:07-C*03:03-DRB1*04:04 | | Germany DKMS - Netherlands minority | 0.1090 | | 1,374 |
|
772 | A*32:01-B*15:01-C*03:03-DRB1*14:01 | | Germany DKMS - Netherlands minority | 0.1090 | | 1,374 |
|
773 | A*24:02-B*55:01-C*03:03-DRB1*13:02 | | Germany DKMS - France minority | 0.1070 | | 1,406 |
|
774 | A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01 | | Germany DKMS - German donors | 0.1066 | | 3,456,066 |
|
775 | A*02:01-B*15:01-C*03:03-DRB1*04:01 | | Germany DKMS - Greece minority | 0.1060 | | 1,894 |
|
776 | A*11:01-B*55:01-C*03:03-DRB1*11:01 | | Germany DKMS - Greece minority | 0.1060 | | 1,894 |
|
777 | A*26:01-B*55:01-C*03:03-DRB1*13:02 | | Germany DKMS - Greece minority | 0.1060 | | 1,894 |
|
778 | A*26:01-B*55:01-C*03:03-DRB1*14:01 | | Germany DKMS - Greece minority | 0.1060 | | 1,894 |
|
779 | A*02:01-B*15:11-C*03:03-DRB1*09:01-DQB1*03:03 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
780 | A*11:01-B*35:01-C*03:03-DRB1*12:02-DQB1*03:01 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
781 | A*24:07-B*15:12-C*03:03-DRB1*15:02-DQB1*05:02 | | Malaysia Peninsular Malay | 0.1052 | | 951 |
|
782 | A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01 | | Germany DKMS - German donors | 0.1045 | | 3,456,066 |
|
783 | A*24:02-B*15:01-C*03:03-DRB1*14:06 | | Japan pop 16 | 0.1040 | | 18,604 |
|
784 | A*24:02-B*15:01-C*03:03-DRB1*15:01 | | Japan pop 16 | 0.1040 | | 18,604 |
|
785 | A*26:01-B*35:01-C*03:03-DRB1*04:03 | | Japan pop 16 | 0.1040 | | 18,604 |
|
786 | A*26:03-B*35:01-C*03:03-DRB1*15:01 | | Japan pop 16 | 0.1040 | | 18,604 |
|
787 | A*02:01-B*15:01-C*03:03-DRB1*11:01-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
788 | A*03:01-B*15:01-C*03:03-DRB1*11:03 | | Germany DKMS - Austria minority | 0.1030 | | 1,698 |
|
789 | A*11:01-B*55:01-C*03:03-DRB1*04:07-DQB1*03:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
790 | A*25:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.1030 | | 4,335 |
|
791 | A*02:11-B*15:05-C*03:03-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.1026 | | 11,446 |
|
792 | A*01:01-B*15:01-C*03:03-DRB1*13:01 | | Germany DKMS - Netherlands minority | 0.1010 | | 1,374 |
|
793 | A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*03:01 | | Russia Karelia | 0.1003 | | 1,075 |
|
794 | A*01:01-B*15:01-C*03:03-DRB1*11:03 | | Italy pop 5 | 0.1000 | | 975 |
|
795 | A*01:01-B*38:01-C*03:03-DRB1*15:02 | | Italy pop 5 | 0.1000 | | 975 |
|
796 | A*01:01-B*55:01-C*03:03-DRB1*07:01 | | Italy pop 5 | 0.1000 | | 975 |
|
797 | A*01:01-B*55:01-C*03:03-DRB1*14:01 | | Italy pop 5 | 0.1000 | | 975 |
|
798 | A*02:01-B*15:01-C*03:03-DRB1*11:02 | | Italy pop 5 | 0.1000 | | 975 |
|
799 | A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01 | | Japan pop 17 | 0.1000 | | 3,078 |
|
800 | A*02:06-B*40:02-C*03:03-DRB1*07:01 | | Italy pop 5 | 0.1000 | | 975 |
|
* 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).