Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
2,701 | A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0085 | | 5,849 |
|
2,702 | A*24:02-B*51:08-C*16:02-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,703 | A*26:01-B*15:18-C*16:02-DRB1*04:03-DQB1*03:02 | | India North UCBB | 0.0085 | | 5,849 |
|
2,704 | A*26:01-B*35:01-C*16:02-DRB1*01:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,705 | A*26:01-B*45:01-C*16:01-DRB1*13:02-DQB1*06:09 | | India North UCBB | 0.0085 | | 5,849 |
|
2,706 | A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03 | | India North UCBB | 0.0085 | | 5,849 |
|
2,707 | A*26:01-B*51:01-C*16:02-DRB1*08:03-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,708 | A*26:07-B*44:02-C*16:04-DRB1*15:01-DQB1*06:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,709 | A*29:02-B*53:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India North UCBB | 0.0085 | | 5,849 |
|
2,710 | A*31:01-B*15:18-C*16:02-DRB1*15:02-DQB1*06:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,711 | A*31:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,712 | A*31:01-B*51:08-C*16:02-DRB1*11:01-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,713 | A*31:01-B*52:01-C*16:02-DRB1*15:02-DQB1*06:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,714 | A*32:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02 | | India North UCBB | 0.0085 | | 5,849 |
|
2,715 | A*32:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,716 | A*33:03-B*15:18-C*16:02-DRB1*14:15-DQB1*05:03 | | India North UCBB | 0.0085 | | 5,849 |
|
2,717 | A*33:03-B*35:01-C*16:02-DRB1*03:01-DQB1*03:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,718 | A*33:03-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02 | | India North UCBB | 0.0085 | | 5,849 |
|
2,719 | A*33:03-B*51:01-C*16:02-DRB1*13:02-DQB1*06:09 | | India North UCBB | 0.0085 | | 5,849 |
|
2,720 | A*33:03-B*51:08-C*16:02-DRB1*10:01-DQB1*05:01 | | India North UCBB | 0.0085 | | 5,849 |
|
2,721 | A*68:01-B*15:18-C*16:02-DRB1*04:03-DQB1*03:02 | | India North UCBB | 0.0085 | | 5,849 |
|
2,722 | A*68:01-B*35:01-C*16:02-DRB1*09:01-DQB1*03:03 | | India North UCBB | 0.0085 | | 5,849 |
|
2,723 | A*68:01-B*51:01-C*16:02-DRB1*04:06-DQB1*03:02 | | India North UCBB | 0.0085 | | 5,849 |
|
2,724 | A*68:01-B*51:01-C*16:02-DRB1*08:01-DQB1*04:02 | | India North UCBB | 0.0085 | | 5,849 |
|
2,725 | A*24:02:01-B*44:02:01-C*16:04:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0085 | | 23,595 |
|
2,726 | A*03:02:01-B*44:02:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0085 | | 23,595 |
|
2,727 | A*30:04:01-B*51:08:01-C*16:02:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0085 | | 23,595 |
|
2,728 | A*11:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0085 | | 23,595 |
|
2,729 | A*29:02:01-B*44:04-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0083 | | 23,595 |
|
2,730 | A*02:01-B*51:01-C*16:02-DRB1*04:03-DQB1*03:02 | | India North UCBB | 0.0083 | | 5,849 |
|
2,731 | A*02:11-B*51:01-C*16:02-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0083 | | 11,446 |
|
2,732 | A*03:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03 | | India North UCBB | 0.0083 | | 5,849 |
|
2,733 | A*32:01:01-B*44:02:01-C*16:04:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0082 | | 23,595 |
|
2,734 | A*03:01:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0082 | | 23,595 |
|
2,735 | A*01:01-B*51:01-C*16:02-DRB1*15:06-DQB1*05:02 | | India South UCBB | 0.0081 | | 11,446 |
|
2,736 | A*02:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03 | | India West UCBB | 0.0081 | | 5,829 |
|
2,737 | A*24:02-B*44:03-C*16:02-DRB1*04:02 | | Poland DKMS | 0.0081 | | 20,653 |
|
2,738 | A*32:01-B*51:01-C*16:02-DRB1*12:01-DQB1*03:01 | | India South UCBB | 0.0081 | | 11,446 |
|
2,739 | A*02:01-B*44:02-C*16:04-DRB1*11:01 | | Poland DKMS | 0.0080 | | 20,653 |
|
2,740 | A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0080 | | 11,446 |
|
2,741 | A*26:01-B*15:18-C*16:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0080 | | 11,446 |
|
2,742 | A*30:02-B*51:01-C*16:01-DRB1*13:03-DQB1*03:01 | | USA African American pop 4 | 0.0080 | | 2,411 |
|
2,743 | A*26:01:01-B*51:01:01-C*16:02:01-DRB1*03:01:01-DPB1*14:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0079 | | 5,266 |
|
2,744 | A*02:06-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0077 | | 5,829 |
|
2,745 | A*31:01-B*44:03-C*16:01-DRB1*07:01 | | Poland DKMS | 0.0077 | | 20,653 |
|
2,746 | A*02:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0076 | | 5,829 |
|
2,747 | A*24:02-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01 | | India South UCBB | 0.0076 | | 11,446 |
|
2,748 | A*32:01-B*51:01-C*16:02-DRB1*01:01-DQB1*05:01 | | India South UCBB | 0.0076 | | 11,446 |
|
2,749 | 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 |
|
2,750 | A*33:03-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03 | | India Central UCBB | 0.0075 | | 4,204 |
|
2,751 | A*03:01-B*44:03-C*16:02-DRB1*04:02 | | Poland DKMS | 0.0074 | | 20,653 |
|
2,752 | A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01 | | USA NMDP European Caucasian | 0.0073 | | 1,242,890 |
|
2,753 | A*02:01-B*51:08-C*16:02-DRB1*13:01 | | Poland DKMS | 0.0073 | | 20,653 |
|
2,754 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0073 | | 23,595 |
|
2,755 | 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 |
|
2,756 | A*29:02-B*13:02-C*16:04-DRB1*03:01 | | Poland DKMS | 0.0072 | | 20,653 |
|
2,757 | A*02:01-B*51:01-C*16:02-DRB1*15:06-DQB1*05:02 | | India North UCBB | 0.0071 | | 5,849 |
|
2,758 | A*03:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0070 | | 11,446 |
|
2,759 | B*57:03-C*16:01 | | USA African American pop 4 | 0.0070 | | 2,411 |
|
2,760 | A*03:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0069 | | 11,446 |
|
2,761 | A*23:01:01-B*44:02:01-C*16:04:01-DRB1*01:01:01-DPB1*04:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0068 | | 5,266 |
|
2,762 | A*01:01-B*44:02-C*16:04-DRB1*15:01-DQB1*06:01 | | India Tamil Nadu | 0.0067 | | 2,492 |
|
2,763 | A*01:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0066 | | 11,446 |
|
2,764 | A*02:11-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0066 | | 11,446 |
|
2,765 | A*33:03-B*51:01-C*16:01-DRB1*13:01 | | Hong Kong Chinese BMDR | 0.0066 | | 7,595 |
|
2,766 | A*68:01-B*51:01-C*16:01-DRB1*01:01 | | Hong Kong Chinese BMDR | 0.0066 | | 7,595 |
|
2,767 | 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 |
|
2,768 | A*29:02-B*44:03-C*16:01-DRB1*07:01 | | Hong Kong Chinese BMDR | 0.0065 | | 7,595 |
|
2,769 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:02:01-DQB1*06:04:01 | | Poland BMR | 0.0064 | | 23,595 |
|
2,770 | A*02:01:01-B*51:01:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0064 | | 23,595 |
|
2,771 | A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0063 | | 11,446 |
|
2,772 | A*02:11-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01 | | India North UCBB | 0.0063 | | 5,849 |
|
2,773 | A*29:02:01-B*44:04-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0062 | | 23,595 |
|
2,774 | A*24:02-B*44:02-C*16:04-DRB1*11:04 | | Hong Kong Chinese BMDR | 0.0062 | | 7,595 |
|
2,775 | A*29:02-B*44:03-C*16:01-DRB1*08:01 | | Poland DKMS | 0.0062 | | 20,653 |
|
2,776 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*01:01:01-DQB1*06:02:01 | | Poland BMR | 0.0062 | | 23,595 |
|
2,777 | A*26:01-B*13:02-C*16:01-DRB1*03:01 | | Hong Kong Chinese BMDR | 0.0061 | | 7,595 |
|
2,778 | A*02:01:01-B*44:03:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0060 | | 23,595 |
|
2,779 | A*01:01:01-B*51:01:01-C*16:02:01-DRB1*04:06:01-DPB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0060 | | 5,266 |
|
2,780 | A*01:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01 | | India West UCBB | 0.0060 | | 5,829 |
|
2,781 | A*01:01-B*51:01-C*16:02-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0060 | | 11,446 |
|
2,782 | A*29:02-B*44:03-C*16:01-DRB1*03:01 | | Poland DKMS | 0.0060 | | 20,653 |
|
2,783 | A*29:02:01-B*44:03:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0060 | | 23,595 |
|
2,784 | A*11:01-B*44:02-C*16:04-DRB1*11:04 | | Poland DKMS | 0.0059 | | 20,653 |
|
2,785 | A*31:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0059 | | 11,446 |
|
2,786 | A*02:01-B*44:03-C*16:01-DRB1*11:01 | | Poland DKMS | 0.0058 | | 20,653 |
|
2,787 | A*03:01-B*51:01-C*16:02-DRB1*11:01 | | Poland DKMS | 0.0058 | | 20,653 |
|
2,788 | A*11:01-B*51:01-C*16:02-DRB1*11:04 | | Hong Kong Chinese BMDR | 0.0058 | | 7,595 |
|
2,789 | A*29:02-B*44:03-C*16:01-DRB1*12:01 | | Poland DKMS | 0.0058 | | 20,653 |
|
2,790 | A*02:06-B*51:01-C*16:02-DRB1*04:05 | | Hong Kong Chinese BMDR | 0.0057 | | 7,595 |
|
2,791 | A*03:01-B*44:03-C*16:01-DRB1*15:01 | | Poland DKMS | 0.0057 | | 20,653 |
|
2,792 | A*26:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01 | | India South UCBB | 0.0057 | | 11,446 |
|
2,793 | A*29:02-B*44:03-C*16:01-DRB1*13:02 | | Poland DKMS | 0.0057 | | 20,653 |
|
2,794 | A*32:01-B*51:01-C*16:02-DRB1*14:04-DQB1*05:03 | | India South UCBB | 0.0056 | | 11,446 |
|
2,795 | A*33:03-B*18:01-C*16:02-DRB1*11:04-DQB1*03:01 | | India North UCBB | 0.0055 | | 5,849 |
|
2,796 | A*33:03-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0055 | | 11,446 |
|
2,797 | A*02:01-B*51:08-C*16:02-DRB1*07:01 | | Hong Kong Chinese BMDR | 0.0054 | | 7,595 |
|
2,798 | A*02:11-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03 | | India South UCBB | 0.0054 | | 11,446 |
|
2,799 | A*03:01-B*44:03-C*16:01-DRB1*01:01 | | Poland DKMS | 0.0054 | | 20,653 |
|
2,800 | A*11:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0054 | | 11,446 |
|
* 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).