Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
3,701 | A*68:01-B*57:01-DRB1*04:01 | | Israel USSR Jews | 0.0006700 | | 45,681 |
|
3,702 | A*24:02:01-B*27:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0006693 | | 23,595 |
|
3,703 | A*03:01-B*37:01-DRB1*04:01 | | Israel USSR Jews | 0.0006660 | | 45,681 |
|
3,704 | A*33:01-B*51:01-C*01:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0006470 | | 2,492 |
|
3,705 | A*33:03-B*51:01-C*01:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0006470 | | 2,492 |
|
3,706 | A*33:71-B*51:01-C*01:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0006470 | | 2,492 |
|
3,707 | A*02:01:01-B*13:02:01-C*04:01:01-DRB1*04:01:01-DQB1*06:03:01 | | Poland BMR | 0.0006317 | | 23,595 |
|
3,708 | A*31:08-B*54:01-DRB1*04:01 | | Israel USSR Jews | 0.0006230 | | 45,681 |
|
3,709 | A*11:01:01-B*15:01:01-C*01:02:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0006160 | | 23,595 |
|
3,710 | A*01:01-B*53:01-DRB1*04:01 | | Israel USSR Jews | 0.0005900 | | 45,681 |
|
3,711 | A*30:01-B*55:01-DRB1*04:01 | | Israel USSR Jews | 0.0005900 | | 45,681 |
|
3,712 | A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0005620 | | 2,492 |
|
3,713 | A*03:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0005620 | | 2,492 |
|
3,714 | A*02:11-B*51:01-C*14:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0005530 | | 2,492 |
|
3,715 | A*24:07-B*40:02-DRB1*04:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
3,716 | A*24:07-B*55:01-DRB1*04:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
3,717 | A*24:17-B*13:02-DRB1*04:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
3,718 | A*24:17-B*44:04-DRB1*04:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
3,719 | A*24:26-B*40:02-DRB1*04:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
3,720 | A*24:26-B*55:01-DRB1*04:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
3,721 | A*31:08-B*44:04-DRB1*04:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
3,722 | A*02:01-B*15:13-C*08:01-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0004510 | | 2,492 |
|
3,723 | A*02:03-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0004510 | | 2,492 |
|
3,724 | A*02:06-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0004510 | | 2,492 |
|
3,725 | A*02:11-B*15:02-C*08:01-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0004510 | | 2,492 |
|
3,726 | A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02 | | USA NMDP Korean | 0.0003990 | | 77,584 |
|
3,727 | A*74:03-B*38:01-C*07:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0003760 | | 2,492 |
|
3,728 | A*74:03-B*38:02-C*07:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0003760 | | 2,492 |
|
3,729 | A*68:01-B*57:01-C*03:02-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0003340 | | 2,492 |
|
3,730 | A*68:01-B*57:01-C*03:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0003340 | | 2,492 |
|
3,731 | A*68:01-B*57:01-C*03:04-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0003340 | | 2,492 |
|
3,732 | A*29:02:01-B*44:04-C*16:01:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0003136 | | 23,595 |
|
3,733 | A*11:01-B*51:01-C*14:02-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,734 | A*24:02-B*44:02-C*07:04-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,735 | A*31:01-B*14:02-C*03:38-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,736 | A*31:01-B*14:02-C*05:25-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,737 | A*31:01-B*15:01-C*03:38-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,738 | A*31:01-B*15:01-C*05:25-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,739 | A*33:01-B*14:02-C*03:38-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,740 | A*33:01-B*14:02-C*05:25-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,741 | A*33:01-B*15:01-C*03:38-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,742 | A*33:01-B*15:01-C*05:25-DRB1*04:01 | | Poland DKMS | 0.0003000 | | 20,653 |
|
3,743 | A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0002390 | | 23,595 |
|
3,744 | A*02:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*06:03:01 | | Poland BMR | 0.0002278 | | 23,595 |
|
3,745 | A*02:01-B*39:01-C*12:03-DRB1*04:01 | | Poland DKMS | 0.0002000 | | 20,653 |
|
3,746 | A*26:01-B*51:01-C*12:03-DRB1*04:01 | | Poland DKMS | 0.0002000 | | 20,653 |
|
3,747 | A*32:01-B*39:04-C*07:02-DRB1*04:01 | | Poland DKMS | 0.0002000 | | 20,653 |
|
3,748 | A*32:01-B*39:12-C*07:02-DRB1*04:01 | | Poland DKMS | 0.0002000 | | 20,653 |
|
3,749 | A*32:01-B*39:31-C*07:02-DRB1*04:01 | | Poland DKMS | 0.0002000 | | 20,653 |
|
3,750 | A*32:01-B*39:41-C*07:02-DRB1*04:01 | | Poland DKMS | 0.0002000 | | 20,653 |
|
3,751 | A*31:01:02-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*02:02:01 | | Poland BMR | 0.0001639 | | 23,595 |
|
3,752 | A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02 | | USA NMDP Japanese | 0.0001480 | | 24,582 |
|
3,753 | A*24:02-B*78:01-C*12:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0001070 | | 2,492 |
|
3,754 | A*24:03-B*78:01-C*12:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0001070 | | 2,492 |
|
3,755 | A*24:07-B*78:01-C*12:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0001070 | | 2,492 |
|
3,756 | A*24:10-B*78:01-C*12:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0001070 | | 2,492 |
|
3,757 | A*24:17-B*78:01-C*12:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0001070 | | 2,492 |
|
3,758 | A*24:32-B*78:01-C*12:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0001070 | | 2,492 |
|
3,759 | A*24:55-B*78:01-C*12:03-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0001070 | | 2,492 |
|
3,760 | A*26:01:01-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0001055 | | 23,595 |
|
3,761 | A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02 | | USA NMDP South Asian Indian | 0.0000900 | | 185,391 |
|
3,762 | A*26:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02 | | India Tamil Nadu | 0.0000028 | | 2,492 |
|
3,763 | A*11:01-B*44:02-C*07:04-DRB1*04:01 | | Poland DKMS | 0.0000000 | | 20,653 |
|
* 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).