Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1,401 | A*02:01:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0020 | | 23,595 |
|
1,402 | A*03:01:01-B*51:01:01-C*16:02:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0019 | | 23,595 |
|
1,403 | A*24:02:01-B*51:01:01-C*16:02:01-DRB1*04:01:01-DQB1*03:01:01 | | Poland BMR | 0.0019 | | 23,595 |
|
1,404 | A*03:01-B*51:01-C*16:02-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0019 | | 11,446 |
|
1,405 | A*24:02:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0019 | | 23,595 |
|
1,406 | A*29:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0018 | | 23,595 |
|
1,407 | A*26:01-B*51:01-C*16:02-DRB1*08:02-DQB1*03:01 | | India South UCBB | 0.0018 | | 11,446 |
|
1,408 | A*68:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02 | | India South UCBB | 0.0018 | | 11,446 |
|
1,409 | A*11:01:01-B*44:03:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0017 | | 23,595 |
|
1,410 | A*11:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0017 | | 23,595 |
|
1,411 | A*24:02:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0015 | | 23,595 |
|
1,412 | A*34:02:01-B*51:01:01-C*16:02:01-DRB1*04:08-DQB1*03:04:01 | | Poland BMR | 0.0014 | | 23,595 |
|
1,413 | A*03:01-B*51:01-C*16:02-DRB1*10:01-DQB1*05:01 | | India South UCBB | 0.0014 | | 11,446 |
|
1,414 | A*01:01:01-B*51:01:01-C*16:02:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0014 | | 23,595 |
|
1,415 | A*11:01:01-B*44:03:01-C*16:02:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0013 | | 23,595 |
|
1,416 | B*51:01-C*16:02 | | China Hubei Han | 0.0012 | | 3,732 |
|
1,417 | A*24:02-B*51:01-C*16:02-DRB1*14:01 | | Poland DKMS | 0.0011 | | 20,653 |
|
1,418 | A*24:02-B*51:01-C*16:02-DRB1*14:39 | | Poland DKMS | 0.0011 | | 20,653 |
|
1,419 | A*26:01-B*51:01-C*16:02-DRB1*11:01-DQB1*03:01 | | India Tamil Nadu | 0.0011 | | 2,492 |
|
1,420 | A*33:03:01-B*44:03:01-C*16:02:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0008732 | | 23,595 |
|
1,421 | A*03:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0008637 | | 23,595 |
|
1,422 | A*26:08-B*51:08:01-C*16:02:01-DRB1*07:01:01-DQB1*03:01:01 | | Poland BMR | 0.0007064 | | 23,595 |
|
1,423 | A*26:08-B*44:03:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0007027 | | 23,595 |
|
1,424 | A*02:01:01-B*18:03-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01 | | Poland BMR | 0.0006202 | | 23,595 |
|
1,425 | A*02:01-C*16:02 | | China Hubei Han | 0.0006000 | | 3,732 |
|
1,426 | A*02:01-B*51:01-C*16:02-DRB1*11:02-DRB3*02:02-DQB1*03:01 | | USA NMDP African American pop 2 | 0.0004770 | | 416,581 |
|
1,427 | A*24:02:01-B*51:01:01-C*16:02:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0002195 | | 23,595 |
|
1,428 | A*26:01-B*44:03-C*16:02-DRB1*04:02 | | Poland DKMS | 0.0001000 | | 20,653 |
|
1,429 | A*68:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01 | | India Tamil Nadu | 0.0000255 | | 2,492 |
|
1,430 | A*68:01-B*51:01-C*16:02-DRB1*11:06-DQB1*03:01 | | India Tamil Nadu | 0.0000255 | | 2,492 |
|
1,431 | A*68:01-B*51:01-C*16:02-DRB1*11:08-DQB1*03:01 | | India Tamil Nadu | 0.0000255 | | 2,492 |
|
1,432 | A*68:01-B*51:01-C*16:02-DRB1*11:11-DQB1*03:01 | | India Tamil Nadu | 0.0000255 | | 2,492 |
|
1,433 | A*01:01-B*51:01-C*16:02-DRB1*11:04-DQB1*03:01 | | India Tamil Nadu | 0.0000009 | | 2,492 |
|
1,434 | A*25:01-B*51:01-C*16:02-DRB1*12:01 | | Poland DKMS | 0.0000000 | | 20,653 |
|
1,435 | A*68:01-B*51:01-C*16:02-DRB1*16:02 | | 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).