Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
5,301 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*11:02:01-DQB1*03:19:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,302 | A*30:01:01-B*39:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,303 | A*31:01:02-B*35:03:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,304 | A*31:01:02-B*39:01:01-C*12:03:01-DRB1*03:01:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,305 | A*31:01:02-B*56:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,306 | A*32:01:01-B*51:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,307 | A*33:03:01-B*38:01:01-C*12:03:01-DRB1*10:01:01-DQB1*05:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,308 | A*11:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,309 | A*32:01:01-B*35:03:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,310 | A*01:01:01-B*35:03:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,311 | A*02:01:01-B*27:02:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,312 | A*31:01:02-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,313 | A*02:01:01-B*39:01:24-C*12:03:01-DRB1*01:01:01-DQB1*06:03:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,314 | A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*02:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,315 | A*24:02:01-B*51:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,316 | A*02:01-B*39:01-C*12:03-DRB1*07:01 | | Poland DKMS | 0.0042 | | 20,653 |
|
5,317 | A*02:01-B*55:02-C*12:03-DRB1*12:02 | | Hong Kong Chinese BMDR | 0.0042 | | 7,595 |
|
5,318 | A*24:02-B*35:03-C*12:03-DRB1*11:08-DQB1*03:01 | | India West UCBB | 0.0042 | | 5,829 |
|
5,319 | A*24:02-B*39:01-C*12:03-DRB1*13:02 | | Poland DKMS | 0.0042 | | 20,653 |
|
5,320 | A*26:01-B*18:01-C*12:03-DRB1*11:04 | | Poland DKMS | 0.0042 | | 20,653 |
|
5,321 | A*31:01:02-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:01:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,322 | A*68:01:02-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,323 | A*24:02-B*35:03-C*12:03-DRB1*07:01-DRB4*01:01-DQB1*02:01 | | USA NMDP Korean | 0.0042 | | 77,584 |
|
5,324 | A*01:01:01-B*38:01:01-C*12:03:01-DRB1*01:01:01-DQB1*06:03:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,325 | A*03:01:01-B*35:03:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,326 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
5,327 | A*11:01-B*35:03-C*12:03-DRB1*11:06-DQB1*03:01 | | India South UCBB | 0.0041 | | 11,446 |
|
5,328 | A*11:01-B*38:01-C*12:03-DRB1*12:01 | | Poland DKMS | 0.0041 | | 20,653 |
|
5,329 | A*11:01-B*55:02-C*12:03-DRB1*12:02 | | Hong Kong Chinese BMDR | 0.0041 | | 7,595 |
|
5,330 | A*11:44-B*35:03-C*12:03-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0041 | | 11,446 |
|
5,331 | A*31:01-B*51:01-C*12:03-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0041 | | 11,446 |
|
5,332 | A*32:01-B*40:01-C*12:03-DRB1*04:03-DQB1*03:02 | | India South UCBB | 0.0041 | | 11,446 |
|
5,333 | A*01:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0041 | | 23,595 |
|
5,334 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*09:01:02-DQB1*03:03:02 | | Poland BMR | 0.0041 | | 23,595 |
|
5,335 | A*29:02:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
5,336 | A*68:01:01-B*07:02:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
5,337 | A*24:02:01-B*38:01:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01 | | Poland BMR | 0.0040 | | 23,595 |
|
5,338 | A*02:01-B*40:01-C*12:03-DRB1*07:01-DQB1*06:01 | | India Tamil Nadu | 0.0040 | | 2,492 |
|
5,339 | A*02:11-B*40:01-C*12:03-DRB1*07:01-DQB1*06:01 | | India Tamil Nadu | 0.0040 | | 2,492 |
|
5,340 | A*25:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*06:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
5,341 | A*02:01-B*38:01-C*12:03-DRB1*15:02 | | Poland DKMS | 0.0040 | | 20,653 |
|
5,342 | A*02:11-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India Central UCBB | 0.0040 | | 4,204 |
|
5,343 | A*11:01-B*39:01-C*12:03-DRB1*14:01 | | Poland DKMS | 0.0040 | | 20,653 |
|
5,344 | A*24:02-B*35:01-C*12:03-DRB1*01:01 | | Poland DKMS | 0.0040 | | 20,653 |
|
5,345 | A*24:07-B*35:03-C*12:03-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0040 | | 11,446 |
|
5,346 | A*24:07-B*35:03-C*12:03-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0040 | | 11,446 |
|
5,347 | A*24:07-B*40:01-C*12:03-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0040 | | 11,446 |
|
5,348 | A*26:01-B*15:03-C*12:03-DRB1*10:01 | | Poland DKMS | 0.0040 | | 20,653 |
|
5,349 | A*68:24-B*35:03-C*12:03-DRB1*01:01 | | Poland DKMS | 0.0040 | | 20,653 |
|
5,350 | A*24:02:01-B*51:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
5,351 | A*24:02:01-B*39:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
5,352 | A*32:01:01-B*18:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
5,353 | A*31:01:02-B*38:01:01-C*12:03:01-DRB1*04:07:01-DQB1*03:01:01 | | Poland BMR | 0.0039 | | 23,595 |
|
5,354 | A*68:01:02-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0039 | | 23,595 |
|
5,355 | A*11:01-B*39:01-C*12:03-DRB1*07:01 | | Poland DKMS | 0.0039 | | 20,653 |
|
5,356 | A*24:02-B*39:01-C*12:03-DRB1*11:04 | | Poland DKMS | 0.0039 | | 20,653 |
|
5,357 | A*24:02-B*39:01-C*12:03-DRB1*15:01 | | Poland DKMS | 0.0039 | | 20,653 |
|
5,358 | A*32:01-B*38:01-C*12:03-DRB1*16:01 | | Poland DKMS | 0.0039 | | 20,653 |
|
5,359 | A*33:03-B*55:01-C*12:03-DRB1*13:01-DQB1*06:03 | | India South UCBB | 0.0039 | | 11,446 |
|
5,360 | A*68:01-B*38:01-C*12:03-DRB1*07:01 | | Poland DKMS | 0.0039 | | 20,653 |
|
5,361 | A*68:01:01-B*18:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0039 | | 23,595 |
|
5,362 | A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0039 | | 23,595 |
|
5,363 | A*30:01:01-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0038 | | 23,595 |
|
5,364 | A*03:01:01-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0038 | | 23,595 |
|
5,365 | A*03:01-B*35:03-C*12:03-DRB1*08:03 | | Hong Kong Chinese BMDR | 0.0038 | | 7,595 |
|
5,366 | A*11:01-B*39:01-C*12:03-DRB1*12:01 | | Poland DKMS | 0.0038 | | 20,653 |
|
5,367 | A*11:01-B*40:01-C*12:03-DRB1*13:02-DQB1*06:09 | | India South UCBB | 0.0038 | | 11,446 |
|
5,368 | A*24:07-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India North UCBB | 0.0038 | | 5,849 |
|
5,369 | A*31:01-B*18:01-C*12:03-DRB1*13:01 | | Poland DKMS | 0.0038 | | 20,653 |
|
5,370 | A*33:03-B*35:03-C*12:03-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0038 | | 11,446 |
|
5,371 | A*01:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0038 | | 23,595 |
|
5,372 | A*11:01-B*39:01-C*12:03-DRB1*14:01-DQB1*06:05 | | India Tamil Nadu | 0.0038 | | 2,492 |
|
5,373 | A*11:01-B*39:01-C*12:03-DRB1*14:04-DQB1*06:01 | | India Tamil Nadu | 0.0038 | | 2,492 |
|
5,374 | A*11:01-B*39:01-C*12:03-DRB1*14:04-DQB1*06:03 | | India Tamil Nadu | 0.0038 | | 2,492 |
|
5,375 | A*11:01-B*39:01-C*12:03-DRB1*14:21-DQB1*06:03 | | India Tamil Nadu | 0.0038 | | 2,492 |
|
5,376 | A*11:01-B*39:01-C*12:03-DRB1*14:33-DQB1*06:03 | | India Tamil Nadu | 0.0038 | | 2,492 |
|
5,377 | A*68:01:02-B*18:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0037 | | 23,595 |
|
5,378 | A*03:01:01-B*38:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0037 | | 23,595 |
|
5,379 | A*68:01:02-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0037 | | 23,595 |
|
5,380 | A*24:02-B*35:03-C*12:03-DRB1*03:01 | | Hong Kong Chinese BMDR | 0.0037 | | 7,595 |
|
5,381 | A*24:02-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02 | | India West UCBB | 0.0037 | | 5,829 |
|
5,382 | A*24:03-B*18:01-C*12:03-DRB1*11:04 | | Hong Kong Chinese BMDR | 0.0037 | | 7,595 |
|
5,383 | A*32:01-B*51:01-C*12:03-DRB1*16:01 | | Poland DKMS | 0.0037 | | 20,653 |
|
5,384 | A*32:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0037 | | 23,595 |
|
5,385 | A*02:01:01-B*39:01:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0037 | | 23,595 |
|
5,386 | A*02:01:01-B*18:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0037 | | 23,595 |
|
5,387 | A*25:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0037 | | 23,595 |
|
5,388 | A*02:01:01-B*51:01:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0036 | | 23,595 |
|
5,389 | A*03:01-B*35:03-C*12:03-DRB1*15:01-DQB1*06:02 | | India South UCBB | 0.0036 | | 11,446 |
|
5,390 | A*03:01-B*40:01-C*12:03-DRB1*09:01 | | Hong Kong Chinese BMDR | 0.0036 | | 7,595 |
|
5,391 | A*03:01-B*51:01-C*12:03-DRB1*15:01-DQB1*06:01 | | India South UCBB | 0.0036 | | 11,446 |
|
5,392 | A*11:01-B*18:01-C*12:03-DRB1*15:02-DQB1*06:01 | | India South UCBB | 0.0036 | | 11,446 |
|
5,393 | A*24:02-B*39:01-C*12:03-DRB1*13:03 | | Poland DKMS | 0.0036 | | 20,653 |
|
5,394 | A*26:01-B*35:03-C*12:03-DRB1*04:08 | | Poland DKMS | 0.0036 | | 20,653 |
|
5,395 | A*03:01-B*35:01-C*12:03-DRB1*01:01 | | Poland DKMS | 0.0035 | | 20,653 |
|
5,396 | A*11:01-B*39:01-C*12:03-DRB1*04:05-DQB1*04:01 | | India South UCBB | 0.0035 | | 11,446 |
|
5,397 | A*24:02-B*15:01-C*12:03-DRB1*14:05 | | Hong Kong Chinese BMDR | 0.0035 | | 7,595 |
|
5,398 | A*26:01-B*46:01-C*12:03-DRB1*08:03 | | Hong Kong Chinese BMDR | 0.0035 | | 7,595 |
|
5,399 | A*31:01-B*56:01-C*12:03-DRB1*01:01 | | Poland DKMS | 0.0035 | | 20,653 |
|
5,400 | A*32:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02 | | India South UCBB | 0.0035 | | 11,446 |
|
* 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).