Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
3,501 | A*01:01:01-B*41:02:01-C*17:03-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0014 | | 23,595 |
|
3,502 | A*32:01:01-B*51:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0014 | | 23,595 |
|
3,503 | A*03:01:01-B*08:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0014 | | 23,595 |
|
3,504 | A*23:01:01-B*51:01:01-C*15:02:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0013 | | 23,595 |
|
3,505 | DRB1*04:01-DQA1*01:03-DQB1*04:02-DPA1*01:03-DPB1*04:02 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
3,506 | DRB1*04:05-DQA1*01:03-DQB1*04:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
3,507 | DRB1*04:05-DQA1*05:01-DQB1*04:02-DPA1*01:03-DPB1*04:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
3,508 | DRB1*08:05-DQA1*03:02-DQB1*04:02-DPA1*01:03-DPB1*138:01 | | Pakistan Mixed Punjabi | 0.0013 | | 389 |
|
3,509 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*01:01:01-DQB1*04:02:01 | | Poland BMR | 0.0013 | | 23,595 |
|
3,510 | A*02:01:01-B*18:01:01-C*07:01:01-DRB1*08:04:01-DQB1*04:02:01 | | Poland BMR | 0.0012 | | 23,595 |
|
3,511 | A*31:01:02-B*50:01:01-C*06:02:01-DRB1*04:06:02-DQB1*04:02:01 | | Poland BMR | 0.0012 | | 23,595 |
|
3,512 | A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02 | | USA NMDP African American pop 2 | 0.0011 | | 416,581 |
|
3,513 | A*31:01:02-B*07:02:01-C*03:04:01-DRB1*01:01:01-DQB1*04:02:01 | | Poland BMR | 0.0011 | | 23,595 |
|
3,514 | A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02 | | USA NMDP Japanese | 0.0010 | | 24,582 |
|
3,515 | A*26:01-B*13:01-C*01:02-DRB1*04:04-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,516 | A*26:01-B*13:01-C*01:02-DRB1*04:05-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,517 | A*26:01-B*13:01-C*01:02-DRB1*04:06-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,518 | A*26:01-B*13:01-C*01:02-DRB1*04:10-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,519 | A*26:01-B*13:02-C*01:02-DRB1*04:04-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,520 | A*26:01-B*13:02-C*01:02-DRB1*04:05-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,521 | A*26:01-B*13:02-C*01:02-DRB1*04:06-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,522 | A*26:01-B*13:02-C*01:02-DRB1*04:10-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,523 | A*26:02-B*13:01-C*01:02-DRB1*04:04-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,524 | A*26:02-B*13:01-C*01:02-DRB1*04:05-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,525 | A*26:02-B*13:01-C*01:02-DRB1*04:06-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,526 | A*26:02-B*13:01-C*01:02-DRB1*04:10-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,527 | A*26:02-B*13:02-C*01:02-DRB1*04:04-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,528 | A*26:02-B*13:02-C*01:02-DRB1*04:05-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,529 | A*26:02-B*13:02-C*01:02-DRB1*04:06-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,530 | A*26:02-B*13:02-C*01:02-DRB1*04:10-DQB1*04:02 | | India Tamil Nadu | 0.0010 | | 2,492 |
|
3,531 | A*11:01:79-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0009973 | | 23,595 |
|
3,532 | A*31:01:02-B*18:01:01-C*07:01:01-DRB1*01:01:01-DQB1*04:02:01 | | Poland BMR | 0.0009750 | | 23,595 |
|
3,533 | A*25:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*04:02:01 | | Poland BMR | 0.0009735 | | 23,595 |
|
3,534 | A*02:01:01-B*13:02:01-C*06:02:01-DRB1*01:01:01-DQB1*04:02:01 | | Poland BMR | 0.0009279 | | 23,595 |
|
3,535 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0008333 | | 23,595 |
|
3,536 | A*68:02-B*57:03-C*07:01-DRB1*03:02-DRB3*03:01-DQB1*04:02 | | USA NMDP European Caucasian | 0.0008171 | | 1,242,890 |
|
3,537 | A*24:02:01-B*38:01:01-C*12:03:01-DRB1*04:04:01-DQB1*04:02:01 | | Poland BMR | 0.0007639 | | 23,595 |
|
3,538 | A*01:01:01-B*15:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0007521 | | 23,595 |
|
3,539 | A*26:08-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0007064 | | 23,595 |
|
3,540 | A*68:02-B*57:03-C*07:01-DRB1*03:02-DRB3*03:01-DQB1*04:02 | | USA NMDP North American Amerindian | 0.0006520 | | 35,791 |
|
3,541 | A*02:01:01-B*08:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0005774 | | 23,595 |
|
3,542 | A*02:01:01-B*55:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0005330 | | 23,595 |
|
3,543 | A*68:02-B*57:03-C*07:01-DRB1*03:02-DRB3*03:01-DQB1*04:02 | | USA NMDP African | 0.0003880 | | 28,557 |
|
3,544 | A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02 | | USA NMDP Caribean Black | 0.0002350 | | 33,328 |
|
3,545 | A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02 | | USA NMDP Korean | 0.0001840 | | 77,584 |
|
3,546 | A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02 | | USA NMDP South Asian Indian | 0.0001760 | | 185,391 |
|
3,547 | A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02 | | USA NMDP Chinese | 0.0001670 | | 99,672 |
|
3,548 | A*68:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0001325 | | 23,595 |
|
3,549 | A*26:01:01-B*57:01:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0001168 | | 23,595 |
|
3,550 | A*34:01-B*15:35-C*07:02-DRB1*04:05-DRB4*01:01-DQB1*04:02 | | USA NMDP Vietnamese | 0.0000480 | | 43,540 |
|
3,551 | A*68:02-B*57:03-C*07:01-DRB1*03:02-DRB3*03:01-DQB1*04:02 | | USA NMDP Japanese | 0.0000140 | | 24,582 |
|
3,552 | A*68:01-B*40:06-C*15:02-DRB1*04:05-DQB1*04:02 | | India Tamil Nadu | 0.0000008 | | 2,492 |
|
3,553 | A*02:01-B*51:01-C*01:02-DRB1*08:01-DQB1*04:02 | | Italy pop 5 | 0.0000000 | | 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).