Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
401 | A*11:01-C*03:03 | | Philippines Ivatan | 2.0000 | | 50 |
|
402 | A*11:02-B*13:01 | | Taiwan Saisiat | 2.0000 | | 51 |
|
403 | A*11:02-B*40:01 | | Taiwan Tsou | 2.0000 | | 51 |
|
404 | A*11-B*08-DRB1*03 | | Pakistan Mixed Sindhi | 2.0000 | | 101 |
|
405 | A*11-B*15-DRB1*12 | | Thailand pop 4 | 2.0000 | | 16,807 |
|
406 | A*11-B*15-DRB1*15 | | Pakistan Mixed Pathan | 2.0000 | | 100 |
|
407 | A*11-B*40-DRB1*15:01 | | Malaysia Sarawak Bidayuh | 2.0000 | | 50 |
|
408 | A*11-B*44-C*16 | | Italy East Sicily | 2.0000 | | 50 |
|
409 | A*11-B*49-DRB1*04-DQB1*03:02 | | Mexico Baja California Rural | 2.0000 | | 50 |
|
410 | A*11-B*51-DRB1*03 | | Pakistan Mixed Sindhi | 2.0000 | | 101 |
|
411 | A*11-B*51-DRB1*15 | | Philippines National Capital Region | 2.0000 | | 51 |
|
412 | A*11-B*52-C*12 | | England London Ashkenazi Jews | 2.0000 | | 500 |
|
413 | A*11-B*52-DRB1*15-DQB1*06 | | Mexico Baja California, Tijuana | 2.0000 | | 25 |
|
414 | A*11:01-B*15:02 | | USA Asian pop 2 | 1.9590 | | 1,772 |
|
415 | A*11:01-B*07:02-C*07:02-DRB1*15:03-DQB1*06:02 | | Colombia North Wiwa El Encanto | 1.9231 | | 52 |
|
416 | A*11-B*53-DRB1*13-DQB1*06 | | Mexico Guanajuato, Leon | 1.9231 | | 78 |
|
417 | A*11:01:01-B*15:32:01-DRB1*15:04 | | China Jingpo Minority | 1.9190 | | 105 |
|
418 | A*11:01:01-B*40:01:01-C*03:04:01-DRB1*12:02:01 | | China Jingpo Minority | 1.9160 | | 105 |
|
419 | A*11:01-B*55:02 | | Taiwan Minnan pop 1 | 1.9000 | | 102 |
|
420 | A*11-B*35-DRB1*01 | | Brazil South Ribeirao Preto | 1.9000 | | 184 |
|
421 | A*11-B*35-DRB1*01-DQB1*05 | | Mexico Chiapas, Tuxtla Gutierrez | 1.8868 | | 52 |
|
422 | A*11:01-B*13:01-DRB1*15:02 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
423 | A*11:01-B*27:05-DRB1*04:03 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
424 | A*11:01-B*40:01-DRB1*14:54 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
425 | A*11:01-B*40:10-DRB1*04:03 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
426 | A*11:01-B*40:10-DRB1*04:05 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
427 | A*11:01-B*40:10-DRB1*08:03 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
428 | A*11:01-B*48:01-DRB1*08:03 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
429 | A*11:01-B*48:01-DRB1*11:01 | | New Zealand Polynesians with Admixed History | 1.8520 | | 27 |
|
430 | A*11-B*15-C*12-DRB1*12 | | Myanmar Shan | 1.8520 | | 54 |
|
431 | A*11-B*18-C*07-DRB1*03 | | Myanmar Shan | 1.8520 | | 54 |
|
432 | A*11-B*38-C*07-DRB1*15 | | Myanmar Shan | 1.8520 | | 54 |
|
433 | A*11:01-B*08:01-DRB1*03:20 | | Malaysia Mandailing | 1.8519 | | 27 |
|
434 | A*11:01-B*15:13-DRB1*15:04 | | Malaysia Mandailing | 1.8519 | | 27 |
|
435 | A*11:01-B*18:01-DRB1*04:05 | | Malaysia Mandailing | 1.8519 | | 27 |
|
436 | A*11:01-B*38:02-DRB1*15:03 | | Malaysia Mandailing | 1.8519 | | 27 |
|
437 | A*11:01-B*39:01-DRB1*14:04 | | Malaysia Mandailing | 1.8519 | | 27 |
|
438 | A*11:01-B*44:03-DRB1*07:01 | | Malaysia Mandailing | 1.8519 | | 27 |
|
439 | A*11:01-B*51:01-DRB1*12:02 | | Malaysia Mandailing | 1.8519 | | 27 |
|
440 | A*11-B*40:01-DRB1*04-DQB1*03:02 | | Mexico Hidalgo Rural | 1.8519 | | 81 |
|
441 | A*11-B*13-C*04-DRB1*03 | | Myanmar Kayin | 1.8320 | | 44 |
|
442 | A*11-B*15-C*12-DRB1*12 | | Myanmar Chin | 1.8180 | | 55 |
|
443 | A*11-B*15-C*12-DRB1*15 | | Myanmar Chin | 1.8180 | | 55 |
|
444 | A*11-B*40-C*03-DRB1*15 | | Myanmar Kayah | 1.8180 | | 55 |
|
445 | A*11-B*56-C*01-DRB1*14 | | Myanmar Chin | 1.8180 | | 55 |
|
446 | A*11:01-B*15:01-DRB1*04:06 | | South Korea pop 10 | 1.8100 | | 4,128 |
|
447 | A*11:01-B*39:01 | | Taiwan Hakka | 1.8000 | | 55 |
|
448 | A*11:01-B*44:02-DRB1*12:01 | | Azores Central Islands | 1.8000 | | 59 |
|
449 | A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03 | | Vietnam Hanoi Kinh pop 2 | 1.8000 | | 170 |
|
450 | A*11:01-B*46:01-C*07:02 | | China Guizhou Province Miao pop 2 | 1.8000 | | 85 |
|
451 | A*11:01-B*48:01 | | Taiwan Atayal | 1.8000 | | 106 |
|
452 | A*11:01-B*51:01 | | Uganda Kampala | 1.8000 | | 161 |
|
453 | A*11:01-B*51:01:01 | | Taiwan Hakka | 1.8000 | | 55 |
|
454 | A*11:01-B*51:01-DRB1*01:01 | | Azores Central Islands | 1.8000 | | 59 |
|
455 | A*11:01-B*55:02 | | Taiwan Hakka | 1.8000 | | 55 |
|
456 | A*11:01-B*56:01 | | Taiwan Hakka | 1.8000 | | 55 |
|
457 | A*11:01-B*58:01 | | Taiwan Hakka | 1.8000 | | 55 |
|
458 | A*11:01-C*03:02 | | Taiwan Hakka | 1.8000 | | 55 |
|
459 | A*11:01-C*14:02 | | Taiwan Hakka | 1.8000 | | 55 |
|
460 | A*11:02-B*48:01 | | Taiwan Ami | 1.8000 | | 98 |
|
461 | A*11:02-C*07:02 | | Taiwan Pazeh | 1.8000 | | 55 |
|
462 | A*11:02-C*12:02 | | Taiwan Hakka | 1.8000 | | 55 |
|
463 | A*11:01-B*13:02-DRB1*07:01 | | Malaysia Kelantan | 1.7857 | | 28 |
|
464 | A*11:01-B*15:02-DRB1*04:05 | | Malaysia Kelantan | 1.7857 | | 28 |
|
465 | A*11:01-B*15:02-DRB1*09:01 | | Malaysia Kelantan | 1.7857 | | 28 |
|
466 | A*11:01-B*18:01-DRB1*12:02 | | Malaysia Kelantan | 1.7857 | | 28 |
|
467 | A*11:01-B*35:01-DRB1*03:01-DQB1*02:01 | | Iran Yazd | 1.7857 | | 56 |
|
468 | A*11:01-B*48:01-C*08:01-DRB1*11:01-DQB1*03:01 | | USA NMDP Hawaiian or other Pacific Islander | 1.7729 | | 11,499 |
|
469 | A*11:01-B*35:01-C*04:01-DRB1*01:01 | | Brazil Vale do Ribeira Quilombos | 1.7361 | | 144 |
|
470 | A*11:01-B*13:01-DRB1*12:02 | | Malaysia Champa | 1.7241 | | 29 |
|
471 | A*11:01-B*18:01-DRB1*15:02 | | Malaysia Champa | 1.7241 | | 29 |
|
472 | A*11:01-B*38:02-DRB1*15:02 | | Malaysia Champa | 1.7241 | | 29 |
|
473 | A*11:01-B*40:01-DRB1*15:02 | | Malaysia Champa | 1.7241 | | 29 |
|
474 | A*11:02-B*15:02-DRB1*12:02 | | Malaysia Champa | 1.7241 | | 29 |
|
475 | A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*31:01 | | China Yunnan Province Lisu | 1.7000 | | 111 |
|
476 | A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*05:02:01-DPB1*13:01 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
477 | A*11:01:01-B*15:32-C*01:02:01-DRB1*15:04-DQB1*05:02:01-DPB1*19:01 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
478 | A*11:01:01-B*15:32-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01-DPB1*28:01 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
479 | A*11:01:01-B*38:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*05:01 | | China Yunnan Province Lisu | 1.7000 | | 111 |
|
480 | A*11:01:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*13:01 | | China Yunnan Province Lisu | 1.7000 | | 111 |
|
481 | A*11:01:01-B*40-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01-DPB1*04:02 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
482 | A*11:01:01-B*40-C*12:03:01-DRB1*04:05:01-DQB1*04:01-DPB1*05:01 | | China Yunnan Province Nu | 1.7000 | | 107 |
|
483 | A*11:01:01-B*51-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02-DPB1*04:01:01 | | China Yunnan Province Lisu | 1.7000 | | 111 |
|
484 | A*11:01-B*07:02-C*07:02 | | Ireland South | 1.7000 | | 250 |
|
485 | A*11:01-B*15:01:01 | | Taiwan Thao | 1.7000 | | 30 |
|
486 | A*11:01-B*35:01 | | USA Hispanic | 1.7000 | | 234 |
|
487 | A*11:01-B*40:01-DRB1*04:05 | | Taiwan Tzu Chi Cord Blood Bank | 1.7000 | | 710 |
|
488 | A*11:01-B*50:01-DRB1*07:01-DQB1*02:01 | | Iran Kurd pop 2 | 1.7000 | | 60 |
|
489 | A*11:01-B*54:01 | | Taiwan Thao | 1.7000 | | 30 |
|
490 | A*11:01-B*55:02 | | Taiwan Thao | 1.7000 | | 30 |
|
491 | A*11:01-C*03:03 | | Taiwan Siraya | 1.7000 | | 51 |
|
492 | A*11:01-C*04:01 | | Taiwan Siraya | 1.7000 | | 51 |
|
493 | A*11:01-C*08:01 | | Taiwan Atayal | 1.7000 | | 106 |
|
494 | A*11:02-C*08:01 | | Taiwan Ami | 1.7000 | | 98 |
|
495 | A*11-B*52-C*07-DRB1*14 | | Myanmar Kachin | 1.6740 | | 63 |
|
496 | A*11:01-B*50:01-DRB1*07:01-DQB1*03:01 | | Iran Saqqez-Baneh Kurds | 1.6667 | | 60 |
|
497 | A*11-B*40:01-DRB1*01:03-DQB1*05 | | Mexico San Luis Potosi, San Luis Potosi city | 1.6667 | | 30 |
|
498 | A*11-B*41-DRB1*11-DQB1*03:01 | | Mexico Jalisco, Tlajomulco | 1.6667 | | 30 |
|
499 | A*11-B*44-DRB1*13-DQB1*06 | | Mexico Jalisco, Tlajomulco | 1.6667 | | 30 |
|
500 | A*11-B*51-DRB1*11-DQB1*03:01 | | Mexico Jalisco, Tlajomulco | 1.6667 | | 30 |
|
* 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).