Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
401 | A*03:02:01-B*51:01:01-C*15:04:01-DRB1*07:01:01-DQB1*05:01:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
402 | A*11:01:01-B*08:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
403 | A*11:01:01-B*40:06:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
404 | A*23:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
405 | A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
406 | A*24:11N-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
407 | A*68:01:01-B*51:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
408 | A*68:01:02-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
409 | A*68:01:02-B*44:03:02-C*12:02:02-DRB1*07:01:01-DQB1*06:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
410 | A*69:01:01-B*37:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
411 | A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.2686 | | 23,595 |
|
412 | A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
413 | A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*03:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
414 | A*01:01:01-B*57:01:01-C*08:02:01-DRB1*07:01:01:01-DQB1*03:03:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
415 | A*02:01:01:01-B*07:02:01-C*03:03:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
416 | A*02:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
417 | A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
418 | A*02:01:01:01-B*35:03:01-C*03:03:01-DRB1*07:01:01:01-DQB1*03:03:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
419 | A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
420 | A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*07:01:01:01-DQB1*03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
421 | A*02:06:01-B*27:05:02-C*02:02:02:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
422 | A*02:08-B*50:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:01:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
423 | A*03:01:01:01-B*55:01:01-C*01:02:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
424 | A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
425 | A*11:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*03:03:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
426 | A*23:01:01-B*15:01:01:01-C*03:03:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
427 | A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
428 | A*24:02:01:01-B*14:02:01-C*08:02:01:01-DRB1*07:01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
429 | A*24:02:01:01-B*44:02:01:01-C*16:04:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
430 | A*24:02:01:01-B*58:01:01-C*03:02:02-DRB1*07:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
431 | A*30:01:01-B*13:02:01-C*05:01:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
432 | A*32:01:01-B*37:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*05:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
433 | A*33:01:01-B*08:01:01-C*08:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
434 | A*34:02:01-B*14:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
435 | A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
436 | A*68:01:02:02-B*44:03:01-C*03:03:01-DRB1*07:01:01:01-DQB1*04:02:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
437 | A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.2595 | | 1,734 |
|
438 | A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.2529 | | 23,595 |
|
439 | A*33:03:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01 | | Saudi Arabia pop 6 (G) | 0.2508 | | 28,927 |
|
440 | A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.2414 | | 521 |
|
441 | A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
442 | A*01:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
443 | A*02:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
444 | A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
445 | A*03:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
446 | A*11:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
447 | A*23:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
448 | A*24:02:01-B*37:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
449 | A*24:02:01-B*39:01:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
450 | A*24:02:01-B*45:03-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
451 | A*24:02:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
452 | A*26:01:01-B*49:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
453 | A*29:02:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
454 | A*29:02:01-B*15:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
455 | A*31:01:02-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
456 | A*32:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
457 | A*32:01:01-B*39:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
458 | A*32:01:01-B*42:02-C*17:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
459 | A*32:01:01-B*56:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
460 | A*33:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
461 | A*66:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
462 | A*68:01:01-B*50:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*10:01:01 | | Saudi Arabia pop 6 (G) | 0.2289 | | 28,927 |
|
463 | A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.2288 | | 1,510 |
|
464 | DRB1*07:01:01:01-DQB1*02:02-DPB1*14:01 | | China Inner Mongolia Autonomous Region Northeast | 0.2030 | | 496 |
|
465 | DRB1*07:01:01:01-DQB1*02:01-DPB1*09:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.2020 | | 496 |
|
466 | DRB1*07:01:01:01-DQB1*03:01-DPB1*04:01:01 | | China Inner Mongolia Autonomous Region Northeast | 0.2020 | | 496 |
|
467 | A*01:01-B*14:02:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
468 | A*01:01-B*15:01-C*01:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
469 | A*01:01-B*37:01:01-C*14:02:01-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
470 | A*01:01-B*40:02-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
471 | A*02:01-B*15:01-C*03:03-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
472 | A*02:01-B*18:01-C*12:03-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
473 | A*03:01-B*14:02:01-C*08:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
474 | A*03:01-B*18:01-C*07:01-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
475 | A*03:01-B*44:03-C*04:01-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
476 | A*03:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
477 | A*03:01-B*57:01:01-C*07:02-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
478 | A*11:01-B*27:05-C*01:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
479 | A*11:01-B*51:01-C*15:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
480 | A*11:01-B*55:01-C*03:03-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
481 | A*11:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
482 | A*23:01-B*44:03-C*03:04-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
483 | A*23:01-B*45:01-C*06:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
484 | A*24:02-B*40:01-C*03:04-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
485 | A*24:02-B*55:01-C*12:03-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
486 | A*24:02-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
487 | A*25:01-B*39:01-C*12:03-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
488 | A*26:01-B*07:02-C*07:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
489 | A*30:01-B*07:05-C*15:05-DRB1*07:01:01-DQB1*03:01 | | England North West | 0.2000 | | 298 |
|
490 | A*30:01-B*51:01-C*16:01:01-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
491 | A*31:01-B*44:03-C*03:04-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
492 | A*32:01-B*14:01-C*08:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
493 | A*32:01-B*27:05-C*03:03-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
494 | A*32:01-B*39:06:02-C*04:01-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
495 | A*32:01-B*44:02-C*05:01-DRB1*07:01:01-DQB1*03:03:02 | | England North West | 0.2000 | | 298 |
|
496 | A*68:01-B*51:01-C*06:02-DRB1*07:01:01-DQB1*02:01 | | England North West | 0.2000 | | 298 |
|
497 | A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.1973 | | 23,595 |
|
498 | A*03:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1966 | | 5,266 |
|
499 | A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.1960 | | 1,734 |
|
500 | A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
* 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).