Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
401 | A*30:01:01-B*55:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
402 | A*30:01:01-B*55:02:01-C*01:02:01-DRB1*14:54:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0053 | | 5,266 |
|
403 | A*30:01:01-B*55:02:01-C*12:03:01-DRB1*08:03:02-DQB1*06:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
404 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*03:01:01 | | Poland BMR | 0.0001396 | | 23,595 |
|
405 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
406 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*11:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
407 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0002395 | | 23,595 |
|
408 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0044 | | 23,595 |
|
409 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*15:02:01-DQB1*06:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
410 | A*30:01:01-B*56:01:01-C*01:02:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0022 | | 23,595 |
|
411 | A*30:01:01-B*57:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0085 | | 23,595 |
|
412 | A*30:01:01-B*57:01:01-C*06:02:01-DRB1*14:01:01-DQB1*05:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
413 | A*30:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0025 | | 23,595 |
|
414 | A*30:01:01-B*57:02:01-C*17:01:01-DRB1*15:03 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
415 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*02:01 | | Costa Rica Central Valley Mestizo (G) | 0.0251 | | 221 |
|
416 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.0168 | | 221 |
|
417 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*03:02 | | Costa Rica Central Valley Mestizo (G) | 0.0156 | | 221 |
|
418 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*04:02:01 | | Costa Rica Central Valley Mestizo (G) | 0.0108 | | 221 |
|
419 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*05:01 | | Costa Rica Central Valley Mestizo (G) | 0.0168 | | 221 |
|
420 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*05:02 | | Costa Rica Central Valley Mestizo (G) | 0.0227 | | 221 |
|
421 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*05:03 | | Costa Rica Central Valley Mestizo (G) | 0.0359 | | 221 |
|
422 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*06:02 | | Costa Rica Central Valley Mestizo (G) | 0.0335 | | 221 |
|
423 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*06:03 | | Costa Rica Central Valley Mestizo (G) | 0.0108 | | 221 |
|
424 | A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*06:09:01 | | Costa Rica Central Valley Mestizo (G) | 0.0227 | | 221 |
|
425 | A*30:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*03:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0091 | | 5,266 |
|
426 | A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | China Zhejiang Han | 0.0289 | | 1,734 |
|
427 | A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0021 | | 23,595 |
|
428 | A*30:01:01-B*58:01:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
429 | A*30:01:01-B*58:01:01-C*07:18-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01 | | South African Black | 0.3520 | | 142 |
|
430 | A*30:01:01-B*58:01:01-C*15:02:01-DRB1*09:01:02-DQB1*06:09:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
431 | A*30:01:01-B*58:02:01-C*06:02:01-DRB1*03:02:01-DQB1*06:02:01-DPB1*23:01:01 | | South African Black | 0.3520 | | 142 |
|
432 | A*30:01:02-B*81:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02 | | South African Black | 0.7040 | | 142 |
|
433 | A*30:01-B*07:02 | | USA Hispanic pop 2 | 0.0300 | | 1,999 |
|
434 | A*30:01-B*07:02 | | USA African American pop 4 | 0.2010 | | 2,411 |
|
435 | A*30:01-B*07:02:01-DRB1*15:01:01 | | Portugal Center | 1.0000 | | 50 |
|
436 | A*30:01-B*07:02-C*02:02-DRB1*11:01 | | Poland DKMS | 0.0024 | | 20,653 |
|
437 | A*30:01-B*07:02-C*05:01-DRB1*15:01 | | Poland DKMS | 0.0022 | | 20,653 |
|
438 | A*30:01-B*07:02-C*05:01-DRB1*15:01-DQB1*05:02 | | India Central UCBB | 0.0119 | | 4,204 |
|
439 | A*30:01-B*07:02-C*06:02-DRB1*09:01-DQB1*03:02 | | India West UCBB | 0.0086 | | 5,829 |
|
440 | A*30:01-B*07:02-C*06:02-DRB1*10:01-DQB1*05:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
441 | A*30:01-B*07:02-C*06:02-DRB1*15:01 | | Germany DKMS - Spain minority | 0.0450 | | 1,107 |
|
442 | A*30:01-B*07:02-C*07:02-DRB1*01:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
443 | A*30:01-B*07:02-C*07:02-DRB1*01:01 | | Poland DKMS | 0.0013 | | 20,653 |
|
444 | A*30:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:03 | | Kosovo | 0.4030 | | 124 |
|
445 | A*30:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01 | | India Tamil Nadu | 0.0100 | | 2,492 |
|
446 | A*30:01-B*07:02-C*07:02-DRB1*03:01 | | Germany DKMS - France minority | 0.0370 | | 1,406 |
|
447 | A*30:01-B*07:02-C*07:02-DRB1*04:03 | | Germany DKMS - Austria minority | 0.0290 | | 1,698 |
|
448 | A*30:01-B*07:02-C*07:02-DRB1*04:07 | | Germany DKMS - Netherlands minority | 0.0360 | | 1,374 |
|
449 | A*30:01-B*07:02-C*07:02-DRB1*07:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
450 | A*30:01-B*07:02-C*07:02-DRB1*07:01 | | Poland DKMS | 0.0030 | | 20,653 |
|
451 | A*30:01-B*07:02-C*07:02-DRB1*07:01-DQB1*03:02 | | India Tamil Nadu | 0.0100 | | 2,492 |
|
452 | A*30:01-B*07:02-C*07:02-DRB1*07:01-DQB1*03:03 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
453 | A*30:01-B*07:02-C*07:02-DRB1*08:01 | | Germany DKMS - Croatia minority | 0.0240 | | 2,057 |
|
454 | A*30:01-B*07:02-C*07:02-DRB1*09:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
455 | A*30:01-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01 | | Colombia Bogotá Cord Blood | 0.0342 | | 1,463 |
|
456 | A*30:01-B*07:02-C*07:02-DRB1*12:01 | | Poland DKMS | 0.0029 | | 20,653 |
|
457 | A*30:01-B*07:02-C*07:02-DRB1*13:01 | | Germany DKMS - Spain minority | 0.0450 | | 1,107 |
|
458 | A*30:01-B*07:02-C*07:02-DRB1*13:03 | | Poland DKMS | 0.0022 | | 20,653 |
|
459 | A*30:01-B*07:02-C*07:02-DRB1*14:01 | | Germany DKMS - China minority | 0.0390 | | 1,282 |
|
460 | A*30:01-B*07:02-C*07:02-DRB1*14:15-DQB1*05:03 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
461 | A*30:01-B*07:02-C*07:02-DRB1*15:01 | | Germany DKMS - France minority | 0.0370 | | 1,406 |
|
462 | A*30:01-B*07:02-C*07:02-DRB1*15:01 | | Hong Kong Chinese BMDR | 0.0068 | | 7,595 |
|
463 | A*30:01-B*07:02-C*07:02-DRB1*15:01 | | Poland DKMS | 0.0052 | | 20,653 |
|
464 | A*30:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01 | | Nicaragua Managua | 0.4329 | | 339 |
|
465 | A*30:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02 | | India Central UCBB | 0.0171 | | 4,204 |
|
466 | A*30:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01 | | Germany DKMS - German donors | 0.0167 | | 3,456,066 |
|
467 | A*30:01-B*07:02-C*07:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 0.5000 | | 100 |
|
468 | A*30:01-B*07:02-C*07:02-DRB1*15:03-DQB1*06:02 | | Colombia Bogotá Cord Blood | 0.0684 | | 1,463 |
|
469 | A*30:01-B*07:02-C*07:02-DRB1*15:03-DQB1*06:02 | | USA African American pop 4 | 0.2180 | | 2,411 |
|
470 | A*30:01-B*07:02-C*07:02-DRB1*15:03-DQB1*06:02-DPB1*02:01 | | Tanzania Maasai | 0.4792 | | 336 |
|
471 | A*30:01-B*07:02-C*07:02-DRB1*16:01 | | Poland DKMS | 0.0020 | | 20,653 |
|
472 | A*30:01-B*07:02-C*07:10-DRB1*01:03-DQB1*03:02-DPB1*10:01 | | Panama | 0.1900 | | 462 |
|
473 | A*30:01-B*07:02-C*15:05-DRB1*13:02-DQB1*05:02 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
474 | A*30:01-B*07:02-C*15:05-DRB1*14:01-DQB1*05:03 | | USA Hispanic pop 2 | 0.0120 | | 1,999 |
|
475 | A*30:01-B*07:02-DRB1*01:01 | | Israel Iraq Jews | 0.0038 | | 13,270 |
|
476 | A*30:01-B*07:02-DRB1*01:01 | | Israel USSR Jews | 0.0012 | | 45,681 |
|
477 | A*30:01-B*07:02-DRB1*01:02 | | Israel USSR Jews | 0.0031 | | 45,681 |
|
478 | A*30:01-B*07:02-DRB1*01:02 | | Israel Ethiopia Jews | 0.1850 | | 5,928 |
|
479 | A*30:01-B*07:02-DRB1*01:02 | | Israel Arab pop 2 | 0.0057 | | 12,301 |
|
480 | A*30:01-B*07:02-DRB1*03:01 | | Israel Arab pop 2 | 0.0123 | | 12,301 |
|
481 | A*30:01-B*07:02-DRB1*03:01 | | Israel USSR Jews | 0.0016 | | 45,681 |
|
482 | A*30:01-B*07:02-DRB1*04:05 | | Israel Ethiopia Jews | 0.1770 | | 5,928 |
|
483 | A*30:01-B*07:02-DRB1*07:01 | | Israel Ethiopia Jews | 0.0899 | | 5,928 |
|
484 | A*30:01-B*07:02-DRB1*07:01 | | Israel USA Jews | 0.0083 | | 6,058 |
|
485 | A*30:01-B*07:02-DRB1*07:01 | | Israel Arab pop 2 | 0.0068 | | 12,301 |
|
486 | A*30:01-B*07:02-DRB1*08:04 | | Israel Arab pop 2 | 0.0073 | | 12,301 |
|
487 | A*30:01-B*07:02-DRB1*10:01 | | Israel USSR Jews | 0.0080 | | 45,681 |
|
488 | A*30:01-B*07:02-DRB1*11:01 | | Israel Ethiopia Jews | 0.0833 | | 5,928 |
|
489 | A*30:01-B*07:02-DRB1*11:01-DQB1*03:01 | | Iran Saqqez-Baneh Kurds | 0.8333 | | 60 |
|
490 | A*30:01-B*07:02-DRB1*11:02 | | Israel Ethiopia Jews | 0.0148 | | 5,928 |
|
491 | A*30:01-B*07:02-DRB1*11:04 | | Israel USSR Jews | 0.0019 | | 45,681 |
|
492 | A*30:01-B*07:02-DRB1*12:01 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
493 | A*30:01-B*07:02-DRB1*13:01 | | Israel Poland Jews | 0.0036 | | 13,871 |
|
494 | A*30:01-B*07:02-DRB1*13:01 | | Israel USSR Jews | 0.0012 | | 45,681 |
|
495 | A*30:01-B*07:02-DRB1*13:01 | | Israel Ethiopia Jews | 0.0083 | | 5,928 |
|
496 | A*30:01-B*07:02-DRB1*13:02 | | Israel Ethiopia Jews | 0.0525 | | 5,928 |
|
497 | A*30:01-B*07:02-DRB1*13:02 | | Israel Arab pop 2 | 0.0060 | | 12,301 |
|
498 | A*30:01-B*07:02-DRB1*13:03 | | Israel USSR Jews | 0.0039 | | 45,681 |
|
499 | A*30:01-B*07:02-DRB1*14:01 | | Israel Poland Jews | 0.0038 | | 13,871 |
|
500 | A*30:01-B*07:02-DRB1*14:01 | | Israel USSR Jews | 0.0172 | | 45,681 |
|
* 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).